Sustainability doi: 10.3390/su16062521
Authors: George Iliopoulos Vasilis Golfinopoulos Anastasia Kalampalika Konstantina Karanika Maria Kolendrianou Penelope Papadopoulou Socratis Tsacos Marianthi Tzortzi Dimitra Valavani Elena Zoumpouli Nikolina Bourli Avraam Zelilidis
Fossils play a crucial role in geoparks contributing to their scientific, educational and recreational aspects. The purpose of the project “Study and promotion of the palaeontological heritage of Kefalonia–Ithaca UNESCO Global Geopark” is the overall consideration of the palaeontological record of the geopark and its utilization with a holistic approach. Excavations took place in 11 new excavation sites and a total of more than 1000 specimens were recovered belonging to 13 major groups (ammonites, barnacles, belemnitida, bivalves, brachiopods, corals, fish, foraminifera, gastropods, plant leaves, rudists, scaphopods, and sea urchins). After being conserved and identified by the scientific staff, the specimens, along with replicas, were exhibited in two newly developed exhibitions at the Information Centres. The exhibitions were inspired by science labs as spaces of exploration, research, discovery and experience. Moreover, an educational package was prepared consisting of different activities for all ages. It presents how life, landscapes, and climate have changed over time and how living things responded to those changes.
]]>Sustainability doi: 10.3390/su16062520
Authors: Can Ertekin Adem Comart Kamil Ekinci
Fruits have a significant impact on human health due to the mineral substances and vitamins that they contain. Among agricultural activities globally and within Türkiye, fruit cultivation is of great importance. In this study, the energy analyses of wolfberries, grapes, pomegranates, and strawberries grown in different countries were evaluated, and the energy efficiency parameters were compared for different countries to improve berry fruit production. The energy parameters in fruit growing include transportation, water, organic fertilizer, farmyard manure, diesel oil/oil, agricultural machinery, animal labor, human labor, electricity, organic chemicals, biocides, chemical fertilizers, seeds, biochemicals, and plastics. Water use, one of the energy analysis parameters, was found to be highest in strawberries grown in greenhouses, with 24,353.30 MJ/ha and the lowest was found in pomegranates, with 35.80 MJ/ha. The highest diesel/oil parameter usage, with an amount of 805,178.20 MJ/ha, was in strawberries grown in greenhouses. The lowest amount was determined in pomegranates, with 1224.90 MJ/ha. The energy input for agricultural machinery was calculated as 18,384.03 MJ/ha in strawberry production in open fields, and the lowest was calculated as 130.48 MJ/ha for the same fruit. In the energy analysis, the highest human labor parameter with an amount of 35,338.86 MJ/ha was found for strawberries produced in greenhouses. The lowest amount was found in grape production, with 205.68 MJ/ha.
]]>Sustainability doi: 10.3390/su16062519
Authors: Qian Li Qingyun Gao Yan Zhang Chennan Gou
Under the fierce business competition and sustainable development pressure, the pattern of enterprise innovation has gradually changed from independent innovation to cooperative innovation. As a collection of multi-type innovation actors, the innovation ecosystem provides opportunities and platforms for cooperative innovation among government–industry–university–research institutions. While the present studies on innovation ecosystems are mostly from the perspective of the system level, few studies pay attention to the innovation mechanism of small and medium-sized manufacturing enterprises (SMMEs) in the innovation ecosystem. Therefore, this study takes SMMEs embedded in innovation ecosystems as research objects and explores the factors affecting green innovation. We constructed a theoretical model to explain the effect of innovation eco-embeddedness on green innovation performance based on ecosystem theory and network embeddedness theory; we then collected 363 samples of SMMEs in China through surveys and further tested the data empirically. The results show that the innovation eco-embeddedness (IEE) of SMMEs has a positive effect on their green innovation performance (GIP), and their green value co-creation practices (GVCCPs) partially mediate the relationship between IEE and GIP. Moreover, ecological norms (ENs) in the innovation ecosystem not only positively moderate the impact of IEE on GVCCPs but also positively moderate the mediating role of GVCCPs. This study enriches the relevant research on innovation ecosystems from the perspective of non-core enterprises and provides a theoretical basis and practical reference for SMMEs to implement green innovation practices and realize growth through innovation ecosystems.
]]>Sustainability doi: 10.3390/su16062518
Authors: Sonnia Parra Hanns de la Fuente-Mella Andrea González-Rojas Manuel A. Bravo
In Chile, Puchuncaví and Quintero face substantial environmental pollution challenges. Industrial and vehicular emissions expose schoolchildren to elevated levels of pollutants, decreasing sustainability and posing risks to both their health and educational advancement. The aim of this study is to determine the distribution of heavy metals (Li, Be, V, Cr, Mn, Co, Ni, Zn, As, Se, Sr, Mo, Cd, Sb, Tl, Pb, and Cu) in the dust in and around the schools in these cities. We also evaluate the associated carcinogenic and non-carcinogenic risks, as well as whether their concentrations affect the academic performance (AP) of the students. The chemical composition of the collected dust samples is analyzed using positive matrix factorization, and two interpretable factors related to two sources of contamination (industrial and traffic + crustal) are determined. The health risk is assessed using a model including inhalation, dermal contact, and ingestion, and the influence of metal concentration on the AP of students is determined using an econometric model. The metal concentration is found to be related to the distance to the pollution source, and differences are observed between indoor and outdoor samples. The carcinogenic risk is low, while the non-carcinogenic risk is high in Greda School. The levels of heavy metals inside and outside the schools are found to influence AP. In these cities, children are exposed to high levels of environmental pollution, which may pose a risk to their health and impact their AP.
]]>Sustainability doi: 10.3390/su16062517
Authors: Tariq Aboalhool Ahmad Alzubi Kolawole Iyiola
The modern business world is confronted with growing social and environmental issues, which pose a serious challenge to pursuing sustainable growth. Drawing from the natural resource base view and stakeholder theory, this study examines the effect of humane entrepreneurship on sustainable corporate performance through the mediating mechanism of green market orientation and the moderating role of green technology turbulence. Cross-sectional data were obtained from Turkish small- and medium-sized enterprises (SMEs) across various sectors. This research adopts a quantitative approach. In total, 393 valid responses obtained from managers of SMEs were utilized to examine the above relationships. The results indicate that humane entrepreneurship has a positive effect on sustainable corporate performance. Humane entrepreneurship has a positive effect on green market orientation. Green market orientation has a positive effect on sustainable corporate performance. The relationship between humane entrepreneurship and sustainable corporate performance is partially mediated by green market orientation. The relationship between humane entrepreneurship and sustainable corporate performance is further strengthened in a highly green technology turbulent environment. The indirect positive effect of humane entrepreneurship on sustainable corporate performance through green market orientation is the strongest when green technology turbulence is high. Simultaneously examining the mediation and moderation relationships, we provide novel insights that extend traditional entrepreneurial vision to a more environmentally conscious humane entrepreneurship approach. The study provides a comprehensive picture of how green market orientation and green technology turbulence are involved in using humane entrepreneurship to achieve superior sustainable corporate performance in the circular economy context.
]]>Sustainability doi: 10.3390/su16062516
Authors: Michael C. S. Wong Ho Ming Ho
The authors would like to make the following corrections about the published paper [...]
]]>Sustainability doi: 10.3390/su16062515
Authors: Tianheng Jiang Maomao Wang Wei Zhang Cheng Zhu Feijuan Wang
With the expansion of the scope and diversity of agricultural non-point source (AGNPS) pollution, environmental pollution in water bodies and soils has intensified, seriously affecting the quality of life of urban and rural residents. This paper presents a comprehensive analysis of the current status of AGNPS pollution from five aspects: fertilizers, pesticides, agricultural films, livestock and crop residues. The study also includes a comprehensive risk assessment of the nitrogen and phosphorus pollution, microplastic pollution, and heavy metal contamination attributed to the current AGNPS pollution in China. The findings reveal widespread nitrogen and phosphorus pollution across provinces in China, a low risk of microplastic pollution, and acute contamination with heavy metals such as As, Cd and Hg, notably in Hubei, Gansu, Liaoning, Guizhou, and Hunan. Additionally, the study reveals that in Chinese provinces currently facing severe heavy metal pollution, heavy metal contamination constitutes a significant carcinogenic risk to adult health and a serious non-carcinogenic risk to child health. Consequently, guided by the ‘3R theory’ principles of source reduction, interception, and remediation, this paper suggests an array of expanded strategies for AGNPS pollution management. These strategies are proposed to aid in the sustainable advancement of AGNPS pollution control.
]]>Sustainability doi: 10.3390/su16062514
Authors: Alejandra Vidales-Barriguete Carolina Piña Ramírez Roberto Vidales Barriguete Carmen Viñas Arrebola Patricia Aguilera Benito
This study emerged from the necessity to analyze the most effective energy-saving strategies within the current real estate market and substantiate their application with empirical data. Undoubtedly, the adoption of External Thermal Insulation Composite Systems (ETICSs) stands out as one of the prevalent approaches. This article presents temperature-monitoring data collected on-site from the facades of two single-family homes initially constructed with identical compositions, materials, construction dates, locations, and orientations. The thermal envelope of one home underwent rehabilitation using the ETICS, while the other remained in its original state. Continuous temperature recordings on the southern and northwestern facades of both homes were conducted using thermocouples over a 15-day period. The data analysis yielded insights into facade performance before and after this rehabilitation approach. The findings suggest that the implementation of ETICS results in more stable interior temperatures, significantly reducing indoor temperatures in comparison to outdoor conditions, leading to a notable decrease in heat energy loss. Consequently, this research underscores the tangible benefits of employing ETICS in building rehabilitation, emphasizing its role as a passive energy-saving strategy. By demonstrating the positive impact on thermal performance and energy efficiency, this study reinforces the vital connection between research endeavors and sustainability objectives.
]]>Sustainability doi: 10.3390/su16062513
Authors: Geng-Wei Liu Chang-Lei Dai Ze-Xuan Shao Rui-Han Xiao Hong-Cong Guo
Human activities have significantly altered the hydrological processes of rivers. In recent years, the increased focus on global water resource exploitation and land use changes has heightened the significance of related ecological and environmental issues. To investigate the land use changes in Hulan River Basin between 1980 and 2020, and the corresponding flow under various ecological standards, a quantitative assessment of land use changes in Hulan River Basin was conducted by analyzing the Land Use Dynamic Degree (LUD) index and the land use change matrix. Two types of models, namely natural runoff models and status quo runoff models, were developed to evaluate alterations in basin runoff. Various hydrological techniques were utilized to calculate the ecological water deficit in Hulan River Basin. The results suggest the following: (1) human consumption comprises approximately 40% of surface water resources, with Hulan River Basin exhibiting a moderate consumption level; (2) when determining the minimum ecological flow, the Distribution Flow Method (DFM) method yielded slightly higher outcomes compared to alternative methodologies; both the variable Q90 method and DFM (Q2) method satisfy 10% of the natural river flow, however, in terms of capturing the hydrological pattern, DFM exhibits a slightly lower fitting degree compared to the variable Q90 (monthly average flow with 90% guarantee rate) method; (3) DFM is identified as scientifically reasonable for determining the most suitable ecological flow in comparison to other hydrological methods; (4) despite the widespread water scarcity in Hulan River Basin, the variance between most periods and the ideal ecological flow remains minimal, indicating that severe water shortages are uncommon.
]]>Sustainability doi: 10.3390/su16062512
Authors: Jia Niu Shanshan Jin Ge Chen Xianhui Geng
Price promotions are commonly employed to enhance supermarket performance and the sustainable development of the retail industry, yet their effectiveness may vary among similar supermarket chains. In contrast to Western countries, Chinese supermarkets are typically community-centered, allowing consumers to make frequent visits due to lower transaction costs. This multiple-visit pattern discourages substantial one-time purchases based on promotions. This study aims to investigate how pricing promotions can attract consumers more effectively and which product categories are most suitable for this purpose. Utilizing scanner data from Chinese chain supermarkets, we empirically assess the impact of promotion depth, breadth, and duration on consumer purchasing behavior using fixed effects models, IV, and GMM methods. Furthermore, we identify product category characteristics that are more appealing to consumers based on the relationships between different product category promotions and consumer behavior. Results demonstrate that each of the three price-promotion features has a positive effect on Chinese supermarket performance, with varying degrees of significance. Different promotion methods not only benefit promoted products but also stimulate sales of non-promotional items. At the product level, the impact of supermarket promotions on performance differs across categories. The most attractive category in terms of consumer purchases influenced by discounts is special paper, while small kitchen appliances have the least impact. Promoting categories with lower average prices, higher average sales volumes, fewer products, and better storage durability is conducive to attracting consumer shopping. These empirical findings have implications for academic research on price promotion theory and supermarket managers’ pricing strategy decisions, as well as the sustainable development of the offline retail industry.
]]>Sustainability doi: 10.3390/su16062511
Authors: Yonglin Mu Jing Wang Caisheng Zhao Xiaowen Li Yongbing Liu Jiangtao Lv
The importance of protecting ecosystem services has been increasingly recognized due to their substantial benefits for human beings. Traditional conservation planning methods for locating and designing prioritized areas focus on high-value areas. However, ecosystem services have an intrinsic correlation of trade-offs and synergies among them; thus, solely selecting high-value areas cannot ensure efficiency in the conservation of multiple ecosystem services. Pursuing the protection of one ecosystem service may compromise the effectiveness of conserving others. Therefore, this study aims to develop a method for identifying the optimal ecosystem service protected areas in more efficient ways by quantifying the spatial relationships of ecosystem services on a local scale. We examined the correlations between all possible paired combinations of four ecosystem services using the Local Moran’s I and classified them into five cluster types in the Yangtze River Basin. To address conflicting solutions for multiple ecosystem service goals, we employed systematic conservation planning to identify priority areas for ecosystem service protection, following the principles of representativeness, complementarity, and persistence. By establishing scenarios that optimize each and all ecosystem services at target levels of 20%, 40%, 60%, and 80%, we observed that any two of the four services were positively correlated, occupying vast areas in the Yangtze River Basin. However, the high-value areas of each ecosystem service did not coincide in their spatial distributions. Under the same target, more high-value areas could be selected as the best solutions by only optimizing a single ecosystem service. The degree of overlap between priority areas varied considerably across optimizations for individual ecosystem services, particularly when setting lower targets. Our findings suggest that integrated conservation planning for all ecosystem services is more efficient than layering multiple single plans. Understanding the correlations between ecosystem services can lead to more effective management and sustainable decision making.
]]>Sustainability doi: 10.3390/su16062510
Authors: Eliana Cangelli Michele Conteduca Elnaz Behnam Kia Hassan Zaiter Valerio Fonti
The buildings and construction sector is responsible for 37% of energy-related CO2 emissions and over 34% of energy demand globally. The redevelopment of the existing residential building stock has become a consolidated policy of the European Commission to implement the objectives of economic recovery and energy transition towards climate neutrality by 2050. This paper illustrates the design experimentation conducted by the Sapienza University team on the recovery of the public housing compartment R5 in Tor Bella Monaca, Rome. The research proposes an original methodology that is ideally replicable for regenerating large public housing districts built on the outskirts of major European cities, characterised by significant technological and social degradation and energy deficiency. This paper provides an overview of the interventions and an evaluation of the method and set of tools developed in drafting the Technical and Economic Feasibility Study at both the neighbourhood and building levels. This contribution is addressed to researchers and public and private organisations dealing with the complexity of the social housing recovery topic, emphasising overall sustainability aspects of interventions in terms of typological and energy refurbishment of buildings, re-activation of open spaces and enhancement of landscape components, and envisioning new services through participatory methods that promote social inclusion.
]]>Sustainability doi: 10.3390/su16062509
Authors: Caroline Blais Anh Quan Le Dinh Éric Loranger Georges Abdul-Nour
The growth in the consumption of electronic products in recent years has resulted in increasing electronic device waste. At the same time, there is a decrease in the availability of raw metals required to produce electronic boards. Recycling through the recovery of precious and critical metals contained in electronic board waste is a solution, but the processes need to be safer for the environment. This paper presents the steps that lead to investment in the development of an eco-friendly and cost-effective process for recovering precious metals from end-of-life electronic telecommunications cards. Social organizations can also become involved in the recycling of electronic cards, thus enabling the integration of marginalized people into society. We examine the case of a non-profit organization whose mission is to help people living with mental health problems through the recycling of end-of-life telecommunication devices. This recycling process must operate within constraints specific to this organization and to the employment of people with mental health issues. The literature review showed that considering ecological and economic factors, the hydrometallurgical process appeared to be a logical choice.
]]>Sustainability doi: 10.3390/su16062508
Authors: Odysseas Christou Dimitra B. Manou Stefano Armenia Eduardo Franco Anastasia Blouchoutzi Jason Papathanasiou
Policy initiatives from the United Nations and EU institutions have emphasized the need for higher education institutions (HEIs) to fulfil a significant role in green transitioning. However, they tend to fall short of the achievement of this objective. Multiple studies indicate that HEIs assign high importance to the integration of environmental sustainability on a strategic level but generally lack dedicated policies of integration in operational aspects. This paper’s research aim is to provide a meta-study that reviews, analyzes, and assesses the state of the art on research on HEI sustainability. The paper also contributes to the state-of-the-art by mapping institutional sustainability self-assessment models, tools, and guidelines in four prominent research areas: (1) sustainability integration in educational activities, pedagogical perspectives, and systemic transformations; (2) benchmarking sustainability of organizational transformation and operational optimization, and links between developmental priorities and educational settings; (3) whole-system approaches focusing on the design and implementation of whole-institution sustainability plans; and (4) HEI sustainability culture and operations. The paper’s final contribution is the presentation of best practices and emerging trends in the literature. These practices were selected on the following qualitative methodological criteria based on the systems-thinking approach to whole-institution assessment: (1) the effectiveness of self-assessment models, tools, and guidelines in each respective research area; (2) the degree of integration of systems thinking and/or modeling; and (3) the incorporation of qualitative indicators for stakeholder engagement.
]]>Sustainability doi: 10.3390/su16062506
Authors: Muyang Liu Ruo Mo Yening Lai Zhaowei Li Zhaohui Qie Hua Zheng
Modern power systems include synchronous generators (SGs) and inverter-based resources (IBRs) that provide fast frequency support (FFS) to the system. To evaluate the FFS ability of both SGs and IBRs under a unified framework, this paper proposes a method that evaluates the FFS ability of each generation unit via its dynamic trajectories of the active power output and the frequency following a contingency. The proposed method quantified FFS ability via two indexes, namely, the equivalent inertia constant and the equivalent droop, of each generation unit. The Tikhonov regularization algorithm is employed to estimate the FFS ability indexes. The New England 10-machine system serves to validate the feasibility and accuracy of the proposed method and illustrate the different FFS ability of the grid−forming and grid−following IBRs.
]]>Sustainability doi: 10.3390/su16062507
Authors: Kausar-Nasreen Khattak Zohaib Hassan Syed Shehryar Ali Naqvi Muhammad Abbas Khan Faiza Qayyum Inam Ullah
Due to its significant relevance in outsourcing, the global software industry, such as enterprise software development organizations, accepted the implementation of global software development (GSD). Customers play a pivotal role in any industry, and effective customer relationship management (CRM) is instrumental in ensuring client satisfaction while developing software projects. However, software organizations operating globally often need more insight into their customers’ perspectives. These challenges give rise to a major combination for the success of the GSD projects. Organizations working globally face the key challenge of the implementation of CRM. The main objective of this paper is to investigate and understand the challenges faced by global software development organizations when implementing customer relationship management (CRM) in their enterprise software projects. This paper aims to assess how these CRM implementation challenges impact the value of enterprise software products in the context of global software development (GSD). To achieve this objective, the study employs the partial least squares-structural equation modeling (PLS-SEM) approach and conducts a systematic literature review (SLR) to identify relevant challenges. Additionally, this paper presents a conceptual framework based on the identified challenges and validates it through surveys and qualitative research with software outsourcing companies in Pakistan. The research provides valuable insights from the perspective of software developers and aims to offer practical guidance for the successful application of CRM in outsourcing.
]]>Sustainability doi: 10.3390/su16062504
Authors: Carlos Alberto da Silva Júnior Carla Morais Dosil Pereira de Jesus Gildo Girotto Júnior
The Periodic Table of the Elements of Green and Sustainable Chemistry (PT-GSC) represents a potentially meaningful tool for teaching and learning Green Chemistry. However, there is a lack of studies exploring the application of the PT-GSC in educational contexts. To contribute to filling this gap, a qualitative and participant approach was developed to examine the effects of using the PT-GSC in a high school setting, with a focus on analyzing the associated challenges and opportunities. Over a five-week period, 23 high school students enrolled in a chemistry course at a public school in Brazil worked in small groups to develop solutions for a case study addressing socio-scientific issues related to water scarcity in the local region using elements from the PT-GSC. Results from both the pre- and post-questionnaires, along with the written case study resolutions, provide evidence of the students’ knowledge gains, particularly in critical scientific literacy for Green and Sustainable Chemistry Education. The findings showed that the PT-GSC is an interdisciplinary tool for introducing students to Green Chemistry concepts within the broader societal and scientific ecosystem. The implementation of novel case studies incorporating elements from the PT-GSC is a way to support our ongoing work with students and the public, contributing to a sustainable future.
]]>Sustainability doi: 10.3390/su16062505
Authors: Adrià Menéndez i Molist Zein Kallas Omar Vicente Guadarrama Fuentes
Effectively implementing innovations in agri-food supply chains (AFSCs) is contingent upon stakeholders’ preferences. Using the analytic hierarchy process (AHP), the objective of this research was to ascertain the degree of willingness among farmers, consumers, and various stakeholders (including processing companies, restaurants, and retailers) in the tomato supply chain of Catalonia (Spain) to shorten the chain and promote local procurement. Based on a set of social, economic, and environmental criteria encompassing sustainability in AFSCs, the results showed that economic factors, particularly profitability and affordability, were the key driving factors in the decisions of stakeholders. However, the considerable importance placed on strategic attributes, including local production, environmental sustainability, and product quality, particularly among consumers, seemed to present a chance to advocate for sustainable alternatives, such as short food supply chains (SFSCs). The AHP methodology facilitates differentiation with respect to the criteria of the decision-making process and serves as a valuable instrument for evaluating the reception of innovations within the AFSC and categorizing the stakeholders who exhibit the greatest interest in them. In order to improve the sustainability of agri-food systems, our findings may be incorporated into strategic plans developed by policymakers.
]]>Sustainability doi: 10.3390/su16062502
Authors: Xuesong Yu Kun Qin Tao Jia Yang Zhou Xieqing Gao
The international migration network, comprising the movements of people between countries, is one of the most important global systems of interaction, which can reflect the complex international relations of economics, cultures, and politics and has huge impacts on global sustainability. However, the conventional gravity model cannot model its complicated interactions accurately. In this article, we propose a novel reverse gravity model using genetic algorithm to reconstruct the complicated interaction patterns with high accuracy. To verify the feasibility of our method, it was applied to a series of international migration networks. We found that the derived node attractions were highly correlated with socioeconomic factors and network metrics, and the calculated node positions outperformed the geometric centers from the perspective of human migration that related to economy and demography. Our approach could be a preferred choice to investigate the spatial–temporal interactive patterns in geographical space, facilitating comprehension of the mechanisms underlying their generation and evolution.
]]>Sustainability doi: 10.3390/su16062503
Authors: Jhon Zartha Gina Orozco Diana Barreto Diego García
Sustainability has been playing a major role on the world stage. As with everything, in the beginning, it was aligned with purely environmental contexts, but with the passing of the years, this concept has encompassed other aspects, such as the way of producing products and services. In this article, to obtain information on the implementation of sustainable innovation, a search equation was formulated in the SCOPUS database, focusing on the period from 2018 to 2023, with a total of 62 articles that are related to the topic addressed. Once the search of the published articles was carried out, seven categories were formed to classify the research topic of each of the publications with Bibliometrix software version 4.1.1 and the PRISMA method, according to the main objective and methodology used in each one. In this sense, 44% of the articles published are related to open innovation, and 26% of the articles are focused on sustainable business models. At the end of the analysis of the implementation of innovation according to the articles consulted, it was possible to establish the fact that sustainable innovation gave rise to some important work in the mitigation of adverse impacts.
]]>Sustainability doi: 10.3390/su16062501
Authors: Serena Cattari Daria Ottonelli Soheil Mohammadi
This paper discusses the critical importance of effective mitigation policies to enhance earthquake resilience in urban systems, especially in light of recent seismic events in Italy. The Italian Civil Protection Department (ICPD) has delineated specific Limit Conditions (LCs) for urban settlements, serving as benchmarks for targeted mitigation policies, and akin to Limit States for buildings in Codes. While the ICPD has already developed operational procedures for some LCs, concentrating on evaluating the structural operational efficiency of strategic functions during emergency management, only a conceptual outline exists for other LCs involving preparedness and recovery/reconstruction phases. To address this gap, this paper introduces the EQ-DIRECTION (EarthQuake Disaster-REsilient City acTIOn plan) procedure. This method aims to analyze and assess the “Limit Condition for Safeguarding the Existence of the Settlement” (referred to as SLC). The procedure entails identifying the “minimum urban system” required for effective recovery and evaluating the performance of this system in terms of structural damage and economic losses against the SLC requirement. The practical application of this methodology to a real-world case study in Sanremo municipality on the western coast of Liguria (Italy) demonstrates the feasibility and potential effectiveness of the procedure for earthquake resilience in urban planning and management.
]]>Sustainability doi: 10.3390/su16062500
Authors: Genesis Camila Cervantes Puma Adriana Salles Luís Bragança
Since the definition and publication of the 2030 Agenda in 2015, addressing Sustainable Development Goals (SDGs) has been pivotal in guiding carbon neutrality and sustainable solutions in urban development. Despite the passage of nine years, tangible successes in achieving the SDGs have been limited, underscoring the critical need for innovative approaches to fostering energy performance and reducing carbon emissions. This study advocates for adopting circular economy principles as a strategic pathway to mitigate environmental, social, and economic challenges and promote sustainable, net-zero-energy solutions. Through a systematic literature review spanning multiple databases, this research underscores the synergy between urban circular economies (UCEs) and the SDGs, with a particular focus on sustainable solutions, resource use circularity in construction, and renewable energy integration. By setting stringent eligibility criteria, this review captures a wide array of perspectives, providing a comprehensive analysis that bridges the gap between urban sustainability, renewable energy adoption, and climate change mitigation efforts. The analysis of 23 selected papers reveals a substantial linkage between UCE practices and the advancement of SDGs, highlighting the pivotal roles of responsible consumption, resource efficiency, and regenerative practices in achieving co-benefits through policy and regulatory frameworks towards carbon neutrality. The findings recommend implementing a holistic approach that integrates urban sustainability with circular economy principles, offering a structured insight into the potential of UCEs in fostering a sustainable transition in line with the 2030 Agenda for Sustainable Development.
]]>Sustainability doi: 10.3390/su16062499
Authors: Rui Gao Yue Wang Beidou Xi Ying Wang Shunguo Bai Jianchao Zhu
Helan Mountain is an important ecological safety barrier in northwest China. In this study, a heterogeneous site polluted by aniline on Helan Mountain was the research object, and the TMVOC (A Simulator For Multiple Volatile Organic Chemicals) model of aniline restoration by pumping was optimized by employing a column experiment. Four typical layers of the soil medium were selected to explore the influence of soil settlement caused by different pumping speeds on the fate of aniline in different zones. The results show that the optimal pumping speed at the site is 3.24 × 106 m3/month and the latest remediation time is the 10th month after the start of the remediation. The larger the pumping speed is, the more obvious the sedimentation effect is. When the remediation is carried out at 5.18 × 106 m3/month, the NAPL (Non-Aqueous-Phase Liquid) phase removal rate decreases by 33.75% and the distribution of aniline to the NAPL phase increases, compared to that without considering the soil settlement. The fate of aniline in the source zone is the least affected by sedimentation, while that in the vadose zone is the most affected. The phase redistribution phenomenon is the most obvious in the water table fluctuation zone, and the NAPL phase aniline changes into gas and liquid phases. In addition, the NAPL phase concentration in the water table fluctuation zone is two orders of magnitude higher than that at 0.2 m below the water table. NAPL is the most sensitive to the relative settlement in the aquifer. The simulation results can provide a technical reference for the future application of P&T (Pump-and-Treat) technology in the remediation of organically contaminated sites to facilitate the sustainable use of soil. It is suggested that more attention should be paid to the water table fluctuation zone during the remediation of contaminated sites.
]]>Sustainability doi: 10.3390/su16062498
Authors: Azad Haider
The main objective of the present study is to examine the determinants of greenhouse gas emissions in Canada using panel data of 10 provinces from 1990 to 2019. The pooled ordinary least squares method is used to estimate the models. The main findings of the basic model show that provinces with larger populations, younger ages, and more income produce higher levels of greenhouse gas emissions. The results of the extended model (per capita greenhouse gas emissions as the dependent variable) show that only five factors (out of ten potential determinants identified)—oil production per capita, gas production per capita, motor vehicles registered per capita, electricity generation intensity, and heating degree days—are significant determinants of per capita greenhouse gas emissions. The results also reveal that the provinces with older populations have lower per capita greenhouse gas emissions in Canada. However, both trend variables played an important role in explaining the greenhouse gas emissions per capita in Canada. Moreover, there were no significant differences among the patterns of the per capita greenhouse gas emissions in Canada after 2005.
]]>Sustainability doi: 10.3390/su16062497
Authors: Neslihan Öner Hasan Durmuş Yağmur Yaşar Fırat Arda Borlu Nilüfer Özkan
As social culture and structure evolve, changes occur in individuals’ eating habits and environmental awareness. This study assesses the relationship between sustainable eating behaviors and environmental literacy across generations (Gens) from the same ancestry. The Sustainable and Healthy Eating (SHE) Behavior Scale and the Environmental Literacy Scale for Adults (ELSA) was administered to 381 individuals across three generations. Self-reported anthropometric data were collected. The total scores of the SHE Behavior Scale of the participants from all three generations were significantly different from each other. The “Quality Labels”, “Meat Reduction” and “Low Fat” factor scores were similar in GenX and GenY. These factor scores were significantly lower in GenZ. The “Animal Welfare” factor score was significantly higher in GenX. The “Avoiding Food Waste and Seasonal Foods” and “Local Food” factor scores were significantly higher in GenX than in GenY and GenZ. The “Healthy and Balanced Diet” factor score was significantly lower in GenZ. There was no difference between the total ELSA scores. The “Environmental Consciousness” factor score was significantly lower in GenX than in GenY. Generational disparities strongly influence perspectives on sustainable and healthy eating. Focused initiatives are essential to educate future parents, who play a pivotal role in shaping the next generation, about sustainable nutrition.
]]>Sustainability doi: 10.3390/su16062496
Authors: Adelina Venig Florin Stănică
The chief aim of this study is to provide information regarding the value and effectiveness of localized irrigation applied to plum trees grown in nurseries; this study also emphasizes how irrigation impacts various qualitative indices in the context of different fertilization treatments. By increasing production in the nursery, the application of differentiated rules for fertilization and irrigation is expected to yield vigorous, healthy fruit tree planting material. As in the case of all cultivated plants, fruit trees in nurseries are primarily dependent on soil and climatic conditions. This research was carried out in a private fruit tree nursery in the northwestern part of Romania. The soil taxonomic unit identified on the research field was arable, weakly glaciated loamy clay on fluvial deposits. The two plum cultivars that were studied were Stanley and Cacanska Lepotica, both of which are valued for the high caliber of their fruit. This research was conducted using a 4 × 2 × 4 trifactorial experiment, with irrigation acting as the primary factor, cultivar as the secondary factor, and fertilization as the tertiary factor. During this research, the fertilization treatments proved to have the most significant impact (34.50%) on stem diameter compared with irrigation (20.67%) and cultivar (5.63%), given that the cultivar had no discernible influence on the increase in the diameters of the grafted trees.
]]>Sustainability doi: 10.3390/su16062495
Authors: Esam M. H. Ismaeil
Achieving efficiency success status inside an organization’s built environment and obtaining a positive return on investments need robust and comprehensive asset management and maintenance processes based on the efficiency of contract information documents within the built asset lifecycle. This paper aims to highlight the appropriate interactive approach for construction projects to build the information flow scope of asset facility management contracts based on GIS (Geographical Information System) and BIM (Building Information Modeling) integration processes and sustainability standards, and project as-built contractual documents to support owners and stakeholders with the intent of improving asset management processes. Expert interviews and contract information flow types in several facility management processes conducted in both local and international facility management organizations were used to assist the information flow scope method. The study classified and built significant integrated information and data flow models for a case study to serve as contract guidelines, including efficiency performance measures and indicators for monitoring procedures, technical evaluation, and financial issues in order to provide high-performance service quality in facility management applications.
]]>Sustainability doi: 10.3390/su16062493
Authors: Lanxi Li Alan Woodley Timothy Chappell
Throughout history, natural disasters have caused severe damage to people and properties worldwide. Flooding is one of the most disastrous types of natural disasters. A key feature of flood assessment has been making use of the information derived from remote-sensing imagery from optical sensors on satellites using spectral indices. Here, a study was conducted about a recent spectral index, the Normalised Difference Inundation Index, and a new ensemble spectral index, the Concatenated Normalised Difference Water Index, and two mature spectral indices: Normalised Difference Water Index and the differential Normalised Difference Water Index with four different machine learning algorithms: Decision Tree, Random Forest, Naive Bayes, and K-Nearest Neighbours applied to the PlanetScope satellite imagery about the Brisbane February 2022 flood which is in urban environment. Statistical analysis was applied to evaluate the results. Overall, the four algorithms provided no significant difference in terms of accuracy and F1 score. However, there were significant differences when some variations in the indices and the algorithms were combined. This research provides a validation of existing measures to identify floods in an urban environment that can help to improve sustainable development.
]]>Sustainability doi: 10.3390/su16062494
Authors: Ken Polin Tan Yigitcanlar Tracy Washington Mark Limb
The emergence of the smart campus approach for university campuses addresses the digital transformation needs of higher education institutions, driven by the increasing capability and popularity of digital technologies like artificial intelligence and the internet of things. While existing research has laid a foundation for conceptualizing smart campuses and developing implementation frameworks, a significant gap remains in understanding how to assess a university campus’s ‘smartness’ effectively. The lack of a robust assessment framework makes it challenging to gauge the effectiveness of smart campus initiatives and identify areas for improvement. This study aims to bridge this research gap by identifying key indicators for evaluating the ‘smartness’ of university campuses. Using a narrative literature review method, the study comprehensively reviews the recent literature on smart campuses, organizational management, and societal applications, focusing on identifying pertinent indicators. By incorporating insights from different domains, the study presents a holistic understanding of the indicators necessary for assessing the ‘smartness’ of university campuses through the proposed smart campus assessment framework. The framework and the insights generated inform researchers and decision-makers in assessing and monitoring the effectiveness of smart campuses.
]]>Sustainability doi: 10.3390/su16062492
Authors: Matheus Koengkan José Alberto Fuinhas Anna Auza Daniela Castilho Volkan Kaymaz
This research addresses a critical gap in the literature by establishing a direct correlation between particle pollution from fine particulates (PM2.5) and women’s political participation. It offers a nuanced understanding of gender dynamics in governance and their impact on environmental outcomes. Focusing on 27 European Union (EU) countries from 2013 to 2021, econometric techniques unveil common trends, underscoring cross-sectional dependence. This study reveals distinct gender behaviors in combating pollution, with women in parliaments and regional assemblies notably contributing to pollutant reduction. However, the negative impact of women’s engagement in politics on PM2.5 intensifies the lower part of the representation hierarchy. Policymakers are urged to create conditions fostering women’s political participation, advocating for gender quotas to address underrepresentation. The research emphasizes the interconnectedness of gender, politics, and environmental issues, urging heightened awareness among policymakers. Limitations include a confined scope and duration, requiring cross-validation beyond the EU. Future research pathways involve exploring the intricate connections between gender, politics, and environmental initiatives, seeking thresholds for impactful women’s representation. In contributing to Sustainable Development Goals (SDGs), this study aligns with SDG 5 (gender equality), SDG 3 (good health and well-being), SDG 7 (affordable and clean energy), SDG 11 (sustainable cities and communities), SDG 16 (peace, justice, and strong institutions), and SDG 17 (partnerships for the goals).
]]>Sustainability doi: 10.3390/su16062491
Authors: Ameer A. Kareim Al-Sahlawi Shahrin Md. Ayob Chee Wei Tan Hussein Mohammed Ridha Dhafer Manea Hachim
Electric vehicle charging stations (EVCSs) and renewable energy sources (RESs) have been widely integrated into distribution systems. Electric vehicles (EVs) offer advantages for distribution systems, such as increasing reliability and efficiency, reducing pollutant emissions, and decreasing dependence on non-endogenous resources. In addition, vehicle-to-grid (V2G) technology has made EVs a potential form of portable energy storage, alleviating the random fluctuation of renewable energy power. This paper simulates the optimal design of a photovoltaic/wind/battery hybrid energy system as a power system combined with an electric vehicle charging station (EVCS) using V2G technology in a grid-connected system. The rule-based energy management strategy (RB-EMS) is used to control and observe the proposed system power flow. A multi-objective improved arithmetic optimization algorithm (MOIAOA) concept is proposed to analyze the optimal sizing of the proposed system components by calculating the optimal values of the three conflicting objectives: grid contribution factor (GCF), levelled cost of electricity (LCOE), and energy sold to the grid (ESOLD). This research uses a collection of meteorological data such as solar radiation, temperature, and wind speed captured every ten minutes for one year for a government building in Al-Najaf Governorate, Iraq. The results indicated that the optimal configuration of the proposed system using the MOIAOA method consists of eight photovoltaic modules, two wind turbines, and thirty-three storage batteries, while the fitness value is equal to 0.1522, the LCOE is equal to 2.66 × 10−2 USD/kWh, the GCF is equal to 7.34 × 10−5 kWh, and the ESOLD is equal to 0.8409 kWh. The integration of RESs with an EV-based grid-connected system is considered the best choice for real applications, owing to their remarkable performance and techno-economic development.
]]>Sustainability doi: 10.3390/su16062490
Authors: Huirong Chen Jianzhong Yang Jinliang Wang
Human settlement development is intricately linked to production and life, and development quality is a partial indicator of the local community’s social, economic, cultural, and environmental progress. Furthermore, the human settlements’ vulnerability affects their sustainable development potential. Due to the “One Belt, One Road” initiative and land and sea corridor development in southwestern China, the Beibu Gulf coast in Guangxi is the sole waterway bridgehead used by China for opening trade with ASEAN. By examining the region’s human settlements and its potential for sustainable development, we established a benchmark for the region’s seaward economy and human settlements to achieve synergistic progress, as well as to enhance regional integration. Based on the systematic evaluation of the quality of human settlements along the Beibu Gulf coast in Guangxi, the vulnerability assessment model of human settlement was adopted to analyse the vulnerability and spatial–temporal patterns of nearby human settlements in 2010–2019, while the multiple linear regression model was used to explore their influencing factors. Our findings indicate that the quality of human settlements in the study area has experienced three distinct stages. In the early stage (2010–2012), we noted an overall year-on-year increase in settlement quality. However, in the middle stage (2013–2016), Fangchenggang and Beihai experienced a decline followed by an increase, while Qinzhou demonstrated a steady growth in settlement quality. Qinzhou continued to experience growth, albeit at a slower rate, while Fangchenggang’s rate of increase surpassed that of Beihai. The human settlements’ high-quality centre shifted between Qinzhou and Fangchenggang in the late stage (2017–2019). Additionally, in recent years, the settlements’ high-quality centre has shifted towards the western part of the region. The habitat’s sensitivity has grown slowly, as has the responsiveness index, but the vulnerability index continues to decline, and it is characterised by a spatial differentiation ranging from low to high values in a centre–east–west direction. The region’s human settlement quality is primarily influenced by economic development. The region’s habitat vulnerability is primarily caused by responsibility, and the primary factors affecting responsibility are regional imbalances in social service development, the population’s welfare, and employment and infrastructure.
]]>Sustainability doi: 10.3390/su16062489
Authors: He Li Hongwei Guo Xiaohan Lu Jun Hu Ke Zhong
This study introduces an innovative double-skin façade system integrated with porous materials (DSF-PM) designed to combat air pollution by purifying atmospheric particulate matter without energy consumption. By evaluating three installation strategies—vertical, horizontal, and cross placement—and examining porous materials with pore sizes of 0.5 mm, 1 mm, and 2 mm through a validated computational fluid dynamics (CFD) model, we optimized the DSF-PM system for enhanced particulate matter purification. Our findings reveal that positioning the porous material on both airflow sides with a pore size of 1 mm yields the best purification performance. The seasonal performance analysis demonstrates that the DSF-PM system achieves an average annual purification efficiency of 26.24% for particles larger than 5 µm, surpassing 20% efficiency, comparable to primary filters in global standards, with zero energy input. This passive double-skin façade system, leveraging solar-driven natural convection, emerges as a sustainable solution for ambient air purification in urban environments.
]]>Sustainability doi: 10.3390/su16062487
Authors: Sheeraz Iqbal Nahar F. Alshammari Mokhtar Shouran Jabir Massoud
This study addresses the challenges associated with electric vehicle (EV) charging in office environments. These challenges include (1) reliance on manual cable connections, (2) constrained charging options, (3) safety concerns with cable management, and (4) the lack of dynamic charging capabilities. This research focuses on an innovative wireless power transfer (WPT) system specifically designed for use in office parking areas. This system incorporates renewable energy resources (RERs) and uses the transformative power of the Internet of Things (IoT). It employs a mix of solar energy systems and battery storage solutions to facilitate a sustainable and efficient energy supply to EVs. The integration of IoT technology allows for the automatic initiation of charging as soon as an EV is parked. Additionally, the implementation of the Blynk application offers users real-time access to information regarding the operational status of the photovoltaic system and the battery levels of their EVs. The system is further enhanced with IoT and RFID technologies to provide dynamic updates on the availability of charging slots and to implement strict security protocols for user authentication and protection. The research also includes a case study focusing on the application of this charging system in office settings. The case study achieves a 95.9% IRR, lower NPC of USD 1.52 million, and 56.7% power contribution by RERs, and it reduces annual carbon emissions to 173,956 kg CO2.
]]>Sustainability doi: 10.3390/su16062488
Authors: Muhammad Umer Zubair Osama Farid Muhammad Usman Hassan Taha Aziz Sameer Ud-Din
Selecting the right maintenance contractor is crucial for efficient operation and project success. Traditionally, this selection has been cost-driven, but the ever-growing complexity of projects has led to a shift towards best-value selection. The best value selection criteria evaluate the contractors based on factors like experience and past performance, along with the proposed cost. However, this approach lacks substantiated knowledge of these factors and often includes factors that cannot be validated at the time of procurement. This paper proposes a framework that applies the Analytical Hierarchy Process (AHP) to the maintenance contractor selection process. A detailed literature review was carried out to identify factors involved in maintenance selection. Data were collected from experts through a questionnaire developed based on the identified factors, facilitating AHP implementation. Substantiation strategies were identified using expert judgments. Our findings reveal that past performance criteria hold the maximum weight in the selection process. The proposed framework offers a more comprehensive approach for selecting maintenance contractors, ensuring both value and efficiency.
]]>Sustainability doi: 10.3390/su16062486
Authors: Yiyan Wang Norsaadah Zakaria
Mass production and global trade have fuelled apparel industry economic growth since the industrial revolution. Mass production and global trade have also contributed to sustainability issues, such as pollution and resource depletion. This scoping review explores how garment sizing and fit affect the sustainability of the Malaysian garment industry. The research objective was achieved using an in-depth analysis of the literature to identify the main sizing and fit issues and research gaps in the Malaysian apparel industry. Furthermore, the sustainability challenges resulting from sizing and fit issues were explored and the strategies to address these issues for apparel industry sustainability were proposed. Finally, the authors suggest that Malaysia should establish its own standard sizing system to contribute to the sustainable development of the local industry. This comprehensive analysis aims to provide an empirical basis and strategic guide for sustainable development by the Malaysian apparel industry.
]]>Sustainability doi: 10.3390/su16062485
Authors: Pelin Şahin Körmeçli
Expansion of cities with population growth leads to the differentiation of urban texture, negatively affecting the accessibility of tourism areas in historical regions. For this reason, there is a need to develop tourism areas that enable people to experience the areas of historical heritage. Sustainable urban development, which is also the theory of the study, has become an agenda for the protection and revitalization of historical areas in order to increase accessibility to tourism. The Safranbolu Protected Area, which is one of the oldest settlements with its traditional housing texture and which is included in the UNESCO World Heritage Sites List in Turkey, was chosen as the study area. In this study, the aim is to examine the accessibility of historical tourism centers, analyze the spatial configuration of the street texture in the city of Karabük and determine the features of the formation mechanism of the Safranbolu historical region. The research questions are based on the impact of (1) the accessibility of the street network on the formation mechanism of the urban architecture and (2) the shaping of urban tourism areas in historical cities. The space syntax method was used to examine the relationship between the building features of the Safranbolu Urban Protected Area and the formation features of the space. Within the scope of the study, the accessibility of the Safranbolu historical center was examined through the street texture that shapes the city form using data from Open Street Map. Segment and axial analyses were made based on the current street network data of the city. The key findings of the research revealed that the accessibility level of the city’s street network was practically effective in shaping the Safranbolu Urban Protected Area. It was theoretically found that the streets with a high global integration value in the city have an impact on the shaping of traditional architecture and constitute important routes for tourism in sustainable development. The findings serve as a reference for researchers in sustainable development, urban planners and local governments who will use it to test the methodology for understanding the street layout of the historical area and improving the experiential characteristics of the users.
]]>Sustainability doi: 10.3390/su16062484
Authors: Maksim Godovykh Alan Fyall Carissa Baker
Sustainable practices are becoming increasingly important to tourists and hotel guests. As a result, destinations, hotels, and booking platforms are implementing eco-friendly practices and displaying sustainable badges to communicate their efforts to guests. While the use of sustainable badges increases the visibility of eco-friendly hotels, it is unclear whether they actually influence guests’ choices. This study aimed to explore the effects of the presence of sustainable badges and the awareness of sustainable practices on tourists’ attitudes and behavioral intentions using an experimental design. People who previously used a hotel-booking platform were randomly assigned to four hotel-booking scenarios with the manipulated presence of sustainable badges and awareness about sustainable practices on the website. The data analysis techniques included an analysis of variance, moderation, and a mediation analysis. The study’s results provided empirical evidence that the presence of a sustainable badge could have a positive impact on guests’ attitudes toward a hotel and intentions to book a hotel. These results contributed to the body of knowledge on the impact of sustainable practices, addressed an attitude–behavior gap between tourists’ attitudes and behavioral intentions, and provided valuable insights for destination management organizations, hotel managers, booking platforms, and policymakers interested in promoting sustainable tourism practices.
]]>Sustainability doi: 10.3390/su16062483
Authors: Chaonan Tang Shaoping Du Zhongming Ma Liang Xue Juan Chen Long Hai
Gravel-mulched fields are a unique form of drought-resistant agriculture in the northwest region of China. In recent years, continuous cropping obstacles caused by the perennial cultivation of a single crop have seriously constrained the sustainable development of sand fields. This study aimed to explore the distribution patterns of different particle sizes of aggregates (>2, 1–2, 0.25–1, and <0.25 mm) and the relationships between their microbial biomass and enzyme activities under different organic fertilization and to explore the effective measures for improving soil fertility in a gravel-mulched field with an 8-year positioning test. The results indicate that the mass percentage of soil aggregates of ≥1 mm and their mean weight diameter (MWD), microbial biomass (carbon and nitrogen, bacteria, fungi, actinomycetes, and total phospholipid fatty acids), and their related enzyme activities (leucine aminopeptidase, LAP; N-acetyl-β-d-glucosidase, NAG; β-glucosidase, BG; and polyphenol oxidase, PPO) in aggregates of different particle sizes increased with the increase in the proportion of organic fertilizers replacing the N fertilizer. Among them, the organic fertilizer replacing more than 50% of chemical nitrogen fertilizers exerted the most significant effect. With the decrease in agglomerate particle size, the contents of microbial carbon and nitrogen showed a decreasing trend, whereas LAP, NAG, and BG activities followed an increasing trend, and the change in microbial biomass was not obvious. The correlation analysis showed highly significant positive correlations between the MWD of soil aggregates, microbial biomass, and the activities of LAP, NAG, BG, and PPO. Therefore, the replacement of more than 50% of chemical fertilizer with organic fertilizer was observed to be conducive to promoting the formation of large aggregates in sandy soils and increasing the microbial biomass and enzyme activities in different sizes of aggregates.
]]>Sustainability doi: 10.3390/su16062482
Authors: Zhifeng Jia Yingjie Chang Hao Liu Ge Li Zilong Guan Xingchen Zhang Ruru Xi Pengcheng Liu Yu Liu
As a non-precipitation water source, dew is important for plant and animal survival and crop production in arid and water-scarce areas. This study assessed the amount of dew in a dry zone in a long-term (2016 to 2022) field observation experiment at the Ansai Experimental Station, a typical loess hilly area in China. Dew primarily occurred in summer and autumn, with a frequency of >50%. The average annual dew amount was 29.20 mm, with an average annual rainfall of 641.8 mm. The average annual dew-to-rain ratio was 4.58%, and the average annual number of dew days was 143.6 d/a. The surface soil moisture content increased by approximately 1.02% with increasing dew amounts. The change in the soil moisture at a 5 cm depth was 0.14% on average and lagged substantially by 1 h. Using the Beysens model, the annual estimated and measured dew amounts in 2022 were 25.27 and 29.84 mm, respectively, and the annual normalized root mean square deviation (NRMSD) was 0.17. Thus, the Beysens model evaluated the dew amount in the study area well at the monthly and annual scales. The quantification of dew resources can provide support for the development, utilization, and management of limited water resources in arid areas, promoting more accurate decision-making for the sustainable development of water resources in the future.
]]>Sustainability doi: 10.3390/su16062481
Authors: Halil Karahan Mahmut Cetin Muge Erkan Can Omar Alsenjar
Accurate estimations of actual evapotranspiration (ETa) are essential to various environmental issues. Artificial intelligence-based models are a promising alternative to the most common direct ETa estimation techniques and indirect methods by remote sensing (RS)-based surface energy balance models. Artificial Neural Networks (ANNs) are proven to be suitable for predicting reference evapotranspiration (ETo) and ETa based on RS data. This study aims to develop a methodology based on ANNs for estimating daily ETa values using NDVI and land surface temperature, coupled with limited site-specific climatic variables in a large irrigation catchment. The ANN model has been applied to the two different scenarios. Data from only the 38 days of satellite overpass dates was selected in Scenario I, while in Scenario II all datasets, i.e., the 769-day data were used. An irrigation scheme, located in the Mediterranean region of Turkiye, was selected, and a total of 38 Landsat images and local climatic data collected in 2021 and 2022 were used in the ANN model. The ETa results by the ANN model for Scenarios I and II showed that the R2 values for training (0.79 and 0.86), testing (0.75 and 0.81), and the entire dataset (0.76 and 0.84) were all remarkably high. Moreover, the results of the new ANN model in two scenarios showed an acceptable agreement with ETa-METRIC values. The proposed ANN model demonstrated the potential for obtaining daily ETa using limited climatic data and RS imagery. As a result, the suggested ANN model for daily ETa computation offers a trustworthy way to determine crop water usage in real time for sustainable water management in agriculture. It may also be used to assess how crop evapotranspiration in drought-prone areas will be affected by climate change in the 21st century.
]]>Sustainability doi: 10.3390/su16062480
Authors: Marcelo Luna Luciano Barcellos-Paula
This study focuses on investigating the dimensions of sustainability and their influence on financial-economic sustainability (FES) in traditional agroforestry systems (TAFS) using the case of the Amazonian Chakra. The main objectives were to analyze the dimensions of sustainability and to establish the causal relationships between these dimensions and the FES. To carry out this research, 330 households in Napo Province that use the Amazonian Chakra system to grow cocoa were selected in order to analyze the relationship between the different dimensions of sustainability and FES in this unique context. The results of the study show that practices related to food security (FS) and business factors (BF) have a positive and significant impact on the FES of cocoa-producing households in the Amazonian Chakra system. These findings support the importance of ensuring the availability and quality of food and promoting responsible business practices in these environments. In contrast, the dimensions of environmental resilience (ER) and biodiversity conservation (BC) showed a negative impact on FES, highlighting an economic-financial imbalance in relation to conservation and environmental resilience actions in the Amazonian Chakra. This study contributes to the knowledge needed to promote agricultural practices that include an equal focus on FES, biodiversity conservation, and environmental resilience practices in a globally significant area, providing valuable information for the design of sustainable agricultural policies and practices in the Amazonian Chakra.
]]>Sustainability doi: 10.3390/su16062474
Authors: Eve Man-Hin Chan Jenny Cheung Catherine Amoroso Leslie Yui-Yip Lau Dawson Wai-Shun Suen Chi-Wing Tsang
The COVID-19 pandemic disrupted global supply chains, posing significant challenges to the textile and clothing industry. However, amidst these threats, there is a unique opportunity to rebuild a more sustainable and resilient fashion industry. This paper explores the shift from pre-COVID-19 business models and consumption values towards a renaissance characterized by real sustainability. By examining the transition from eco-efficiency to eco-effectiveness and from cradle-to-grave to cradle-to-cradle approaches, this study emphasizes the need for the active involvement of key stakeholders in co-creating value for all. Through a comprehensive analysis of the post-COVID era, this study aims to understand textile and clothing industry professionals’ perceptions and attitudes towards sustainable design practices and identify challenges in implementing such strategies. The findings contribute to the knowledge of sustainability in the post-COVID era and provide insights and strategies for textile and clothing industry players to thrive in a sustainable and transformed landscape.
]]>Sustainability doi: 10.3390/su16062479
Authors: Maryam Feyzollahi Pierre-Olivier Pineau Nima Rafizadeh
As car ownership and usage expand globally, understanding the factors that influence the propensity to drive is crucial for promoting sustainable transportation. This literature review examined the factors influencing driving decisions through a systematic search of databases, rigorous screening of over 1000 articles, and analysis of 142 studies. The findings reveal that attributes of the built environment (e.g., density, diversity, accessibility), economic factors (e.g., income, costs of car ownership, policies), and psychological aspects (e.g., attitudes, social norms, perceptions) have significant impacts on driving behaviors. By employing an integrative methodology involving targeted searches, keyword analysis, and detailed evaluation, this review offers insights into the multifactorial nature of driving decisions. The synthesis of studies across multiple domains emphasized the need for a holistic approach to understanding and addressing the factors influencing the propensity to drive, laying a foundation for informed transportation policy and practice.
]]>Sustainability doi: 10.3390/su16062477
Authors: Jiasha Fu Fan Wang Jin Guo
Decoupling economic growth from carbon emissions is crucial for combating the climate crisis and promoting green development. However, a uniform approach to climate mitigation exacerbates regional disharmony. As a microcosm of China’s regional heterogeneity, the Yangtze River Economic Belt (YREB) is helpful in exploring regional collaborative climate governance. This paper uses the Thiel index, the Tapio decoupling model, and the Logarithmic Mean Divisia Index (LMDI) decomposition approach to explore the decoupling of economic growth from carbon emissions in YREB from 2005 to 2019. Results indicate that the carbon intensity difference is mainly from the difference within middle-rising provinces (MRP) and western less-developed provinces (WLP). YREB exhibits strong decoupling overall, but it is not sustained. The economic growth effect significantly promotes carbon emissions, which is more prominent in MRP. The energy intensity effect plays a vital role in restraining carbon emissions. The emission factor effect signals an improved energy structure in WLP. Regional coordination is needed to achieve green development; thus, provinces should set differentiated carbon emission reduction targets, and more potent tools are recommended in major carbon emitters.
]]>Sustainability doi: 10.3390/su16062478
Authors: Pinjie Xie Yue Lu Yuwen Xie
To promote the low-carbon, high-quality development of China’s industrial sector and achieve the national carbon peak goal as soon as possible, this study explores the influencing factors of carbon emissions among industrial sectors. Based on the panel data of 36 industrial sectors in China from 2009 to 2021, the spatial effects and characteristics of industrial sectors are examined by the spatial Durbin model (SDM) based on analyzing the spatial correlation among industrial sectors. The results show the following: (1) Moran’s I statistical results show that China’s industrial carbon emissions have a strong positive spatial correlation, and with time, the spatial correlation between industrial sectors gradually increases. (2) The empirical results of the whole industrial sector show that the property rights structure, capital intensity, and energy structure are the main driving forces promoting carbon emission reduction; the grouping analysis results show that the impact of FDI and property rights structure on the carbon emissions of the industrial sector in different sample groups is different. Among them, the energy structure and research and development play a role in reducing carbon emissions in each sample group. (3) Therefore, in the future, to reduce carbon emissions in the industrial sector, it is necessary to inhibit growth factors and promote the role of reduction factors; optimizing the energy structure and improving the rationality of the property rights structure are effective ways to achieve energy conservation and emission reduction.
]]>Sustainability doi: 10.3390/su16062476
Authors: Yun-Fei Li Fang-Suey Lin
Through strategically implementing sustainable practices, businesses can enhance their public image and incentivize consumers to purchase environmentally friendly products. In recent years, many enterprises have actively pursued corporate social responsibility, striving to achieve profitability, fairness, and societal benefits simultaneously, thus creating a beneficial cycle for both businesses and the environment. The COVID-19 pandemic has altered brand perceptions and consumer habits, impacting not only packaging materials, product life cycles, and corporate social responsibility but also significantly impacted sustainability. Personal care products are utilized by individuals on a daily basis, emphasizing the need to consider various indicators in designing brand image strategies to ensure sustainable development. This study focuses on indicators for sustainable brand image design strategies within the personal care product indicators, employing a modified Delphi method to establish these indicators. The relative weights of these indicators were determined using the Analytic Hierarchy Process. The research findings underscore that conveying brand ideals to consumers, committing to brand values, enhancing brand visibility, and creating value are considered the most crucial indicators in the design of sustainable branding strategies for personal care products. These results provide essential insights for researchers and brand developers to formulate corresponding strategies, thereby achieving sustainable brand development and enhancing competitiveness.
]]>Sustainability doi: 10.3390/su16062475
Authors: Mengnan Liu Mingliang Ma Mengjiao Liu Fei Meng Pingjie Fu Huaqiao Xing Jingxue Bi Zhe Zheng Yongqiang Lv
The coordinated control of PM2.5 and O3 pollution has become a critical factor restricting the improvement of air quality in China. In this work, precursors and related influencing factors were utilized to establish PM2.5 and O3 estimation models in the North China Plain (NCP), the Yangzi River Delta (YRD), and the Pearl River Delta (PRD) using a multi-task-learning (MTL) model. The prediction accuracy of these three MTL models was high, with R2 values ranging from 0.69 to 0.83. Subsequently, these MTL models were used to quantitatively reveal the relative importance of each factor to PM2.5 and O3 collaborative pollution simultaneously. Precursors and meteorological factors were the two most critical influencing factors for PM2.5 and O3 pollution in three regions, with their relative importance values larger than 29.99% and 15.89%, respectively. Furthermore, these models were used to reveal the response of PM2.5 and O3 to each precursor in each region. In the NCP and the YRD, the two most important precursors of PM2.5 pollution are SO2 and HCHO, while the two most critical factors for O3 pollution are HCHO and NO2. Therefore, SO2 and VOC emissions reduction is the most important measure for PM2.5 pollution, while VOC and NO2 emission reduction is the most critical measure for O3 pollution in these two regions. In terms of the PRD, SO2 and NO2 are the most important precursors of PM2.5 pollution, while the most important precursors for O3 pollution are HCHO and SOX, respectively. Thus, NO2, SO2, and VOC emission reduction is the most critical measure for PM2.5 pollution, while VOC and NO2 emission reduction is the most critical measure for O3 pollution in the PRD. Overall, this study provides clues and references for the control of PM2.5 and O3 collaborative pollution in the NCP, the YRD, and the PRD.
]]>Sustainability doi: 10.3390/su16062473
Authors: Shufen Pang Mazlinawati Abdul Majid Hadinnapola Appuhamilage Chintha Crishanthi Perera Mohammad Saydul Islam Sarkar Jia Ning Weikang Zhai Ran Guo Yuncheng Deng Haiwen Zhang
Halfway through Transforming Our World: The 2030 Agenda for Sustainable Development, only 15 percent of the goals have been reached. As a carbon storage and climate change mitigation mechanism, blue carbon is closely related to sustainable development goals and plays an important role in the global carbon cycle. In spite of its great potential, blue carbon still faces several challenges in terms of achieving the Sustainable Development Goals. Herein, this review aims to retrieve all known impacts of blue carbon on sustainable development through research published on the Web of Science from 2012 to 2023 using a sequence of bibliometric analyses. Keywords such as “blue carbon” and “sustain*” (including “sustainability”, “sustainable”, etc.) were used for article extraction. CiteSpace, a science mapping tool, was used to capture and visually present the bibliometric information in the research about blue carbon and sustainable development. Upon reviewing the existing literature, no study has concentrated on bibliometrically analyzing and visualizing studies about blue carbon and sustainable development. This study sets out to fill this gap by examining the key areas of concentration in published works on blue carbon and sustainable development from 2012 to date. Moreover, the integration of blue carbon and sustainable development may help to develop supportive policies for marine carbon sinks. Despite the valuable contribution of this study to the blue carbon and sustainable development body of knowledge, generalizations of the results must be made cautiously due to the use of a single database, which in this case is the Web of Science.
]]>Sustainability doi: 10.3390/su16062472
Authors: Apostol Apostolov Stela Panyovska Stefan Stefanov Daniela Dzhonova-Atanasova Elena Razkazova-Velkova Stefan Michev
There are many technologies for removal of sulfur dioxide (SO2) from flue gases. They are intrinsic part of the efforts for sustainability of energy production as they reduce the harmful impact of fossil fuel combustion on the environment by minimizing one of the main air pollutants. A wide range of methods use alkaline absorbents. In most cases, the products obtained from the absorption process have to undergo further oxidation, which increases the cost of carrying out the process. As a final result, the sulfates obtained (Na2SO4 and CaSO4) have limited practical application and there is a problem with their disposal. Scientific and engineering efforts have been directed towards the development of a practically waste-free technology for gas purification from SO2. An absorption–adsorption method is proposed, which comprises absorption of SO2 in water with simultaneous adsorption of the resultant sulfurous acid (H2SO3) from the aqueous solution with a synthetic anion-exchange resin. Regeneration of the adsorbent is accomplished with a dilute solution of ammonia (NH3), followed by decomposition of the resulting ammonium sulfite ((NH4)2SO3) with nitric acid (HNO3). The products of the processes are pure gaseous (liquefied) SO2 and an aqueous solution of ammonium nitrate (NH4NO3). Sulfur dioxide has a wide range of applications in the chemical industry; ammonium nitrate is a product with a variety of commercial uses as well, the most common of which is as a soil fertilizer. The new absorption–adsorption method offers a practically waste-free technology. The basic unit of this technology is a bubble-cap tray column where the absorption–adsorption process is carried out in an aqueous suspension of a synthetic anion-exchange resin. This work presents a CFD simulation of the flow on the bubble-cap tray. A physical model of the column is constructed, which contains a bubble-cap tray fabricated by 3D printing. As a result of this experimental study, new data on the tray pressure drop, gas holdup, and the kinetics of the absorption–adsorption process were obtained.
]]>Sustainability doi: 10.3390/su16062471
Authors: Ying Shu Xiaobin Zhuang Rui Ying Guanghua Xu
China’s “carbon peak and neutrality” policy has thrust the convergence of corporate ecological conservation and economic progress to the forefront of sustainable development. This study, aiming to tackle the “sustainability challenge”, delves into the driving forces and operative mechanisms that intertwine corporate environmental performance with financial outcomes from 2015 to 2020. Focusing on A-share listed companies in heavily polluting sectors across Shanghai and Shenzhen stock exchanges, it categorizes formal institutional pressure into two types: command-oriented and market-driven, revealing a significantly stronger positive effect of market-based pressure compared to command-based pressure. Additionally, this research examines the distinct impacts of these institutional pressures under different conditions such as ownership structure, regional location, and executive education levels. The findings indicate that state-owned enterprises, eastern region firms, and those led by highly educated executives are more responsive to command-based pressure. Conversely, privately-owned businesses, entities in central–western regions, and those with lower executive education primarily respond to market-based pressure. Moreover, this study underscores the interplay between informal and formal institutions, observing that the influence of market-based pressure on corporate environmental–financial integration is notably amplified when public awareness of environmental protection increases, thereby highlighting social factors’ pivotal role in business decision-making. In essence, this paper accentuates the significance of aligning corporate environmental and financial goals for sustainable development, offering fresh insights to academia and fostering sustainable practices and research within the corporate realm.
]]>Sustainability doi: 10.3390/su16062470
Authors: Estrella Alfaro-Saiz Susana Cámara-Leret Miguel González-González Óscar Fernández-Álvarez Sergio Rodríguez-Fernández Darío López-López Ana I. Paniagua-García Carmen Acedo Rebeca Díez-Antolínez
This article, set within an art–science collaborative framework, exposes a multidisciplinary research platform aimed at identifying new relationships with hops (Humulus lupulus), its harvest, and local memory. It presents an ecological and ethnobotanical study of the plant, from its natural habitat to its past/present cultivation, its traditional uses, and possible applications in pharmacy and cosmetics. It offers a qualitative study with an ethnographic approach to participant observation, using techniques such as in-depth interviews, focus group discussions, and life stories. Finally, it brings forth a process of material experimentation from the arts, based on rethinking waste systems to create new biomaterials with manifold future applications. The results from this hybrid methodology show the multiple possibilities that the plant offers beyond its cultivation for the brewing industry. Likewise, it shows how spaces, relationships, and dialogues have been generated with wide repercussions on a local and planetary scale, related to the sustainability of the rural world and territorial cohesion, all of which are intrinsic to emergent agrarian practices. The conclusions show a complex scenario that demands a hybrid response to understand the paradoxes to which the plant is subjected and the uncertain future of agrarian culture.
]]>Sustainability doi: 10.3390/su16062466
Authors: Fuying Liu Zuliang Lu Yuan Wang
This research analyzes the development and evolution of the Jinqin section of Peking–Mukden railway. Based on defining the scope of the study, the project to make “The List of Architectural Heritage of Jinqin section in Peking–Mukden Railway” is proposed. Data acquisition, data processing, and heritage information visualization are completed after the survey. ArcGIS was applied to build the database, which was used to analyze the spatiotemporal distribution. The following conclusions were obtained after analyzing spatial distribution characteristics, spatial agglomeration, and spatial equilibrium: ① The overall spatial distribution of architectural heritage is characterized by significant “cohesion”, while the three major categories of heritage in three time sections show obvious spatial distribution direction. ② The integral architectural heritage is characterized by an agglomeration pattern of six points connected by railway. ③ Both the integral heritage and the three major categories have a large gap in distribution, a low degree of balance, and a high degree of agglomeration. The research can support the study of regional protection strategy and sustainable use of railway architectural heritage.
]]>Sustainability doi: 10.3390/su16062469
Authors: Muhammad Syafrudin Ganjar Alfian Norma Latif Fitriyani Muhammad Anshari
In the contemporary era, modern civilization is immersed in a technologically interconnected environment, where numerous applications within the digital ecosystem harness advanced artificial intelligence (AI) techniques [...]
]]>Sustainability doi: 10.3390/su16062467
Authors: Riccardo Zito Letizia Bonizzoni Nicola Ludwig
Even though X-ray fluorescence (XRF) is strictly an atomic method, this technique has been developed mostly at research centers for nuclear physics. One of its most valuable variations is the mapping mode that allows it to shift XRF from a punctual to an image technique. Macro X-ray Fluorescence (MA-XRF) is a widespread analytical technique applied in cultural heritage for characterizing the elemental composition of pigments with a non-destructive, rapid and green approach. When dealing with cultural heritage materials, the sustainability of the applied techniques is directly linked to the limited impact on the work of art. MA-XRF can reveal hidden sub-surface layers or restorations, but, nonetheless, it is hardly adopted for estimating the thickness of layers without resorting to complex Monte Carlo simulations or without combining information from other techniques. Exploiting the recurrent presence of lead white under pictorial layers in historical artworks, we perform a calibration on stand-alone layers produced ad hoc for the relative absorption of Pb L fluorescence lines, and then, their ratio is successfully used to estimate the thickness of azurite and ultramarine blue layers over lead white. The final result is rendered as a heatmap, easy to present to non-technical personnel frequently involved in the cultural heritage field. The new proposed procedure for calculating layer thickness extends the concept of non-invasive applications, paving the way to the possibility of performing stratigraphy without sampling.
]]>Sustainability doi: 10.3390/su16062468
Authors: Giuseppe Musolino
The paper deals with transportation system models (TSMs) on behalf of methods for risk reduction in urban areas. As far as urban transport networks are concerned, further development of models is necessary in order to capture the potentialities of emerging information and communication technologies (e-ICTs) in providing valuable information about the evolution of a transportation network during an evacuation. A new learning process structure has been proposed to take into account how the path costs (disutilities) in ordinary and emergency conditions will be perceived and updated by the users. The data provided by emerging ICT allow for the incorporation of dynamics inside the network model, concerning the update of information provided by the internet of things and big data.
]]>Sustainability doi: 10.3390/su16062465
Authors: Lixian Fan Hao Yang Xinfang Zhang
Compared to air, rail, and road transport, shipping is a more energy-efficient and environmentally friendly way to transport goods over a long distance. However, the unprecedented growth of global seaborne trade has had a significant impact on the environment. The process of shipping transportation, through exhaust gas, wastewater discharge, fuel leakage, etc., has caused very serious environmental pollution. In response to this issue, the International Maritime Organization introduced the International Convention for the Prevention of Pollution from Ships (MARPOL) Convention to regulate the discharge of pollution from ships. Given that there are few studies discussing policy effectiveness, this study comprehensively considers and reviews the implementation effectiveness of all annexed policies under the MARPOL Convention. After discussing the differences between these policies based on the implementation conditions, requirements, strictness, and scope of adoption, the empirical analysis method of time-varying differences-in-differences model is adopted to analyze the policy effectiveness of each annex. It further puts forward suggestions and references for the formulation of effective maritime policies in the future that should be targeted, comprehensive, contingency-based, and proactive. This will help design or revise policies in the shipping industry, thereby promoting the early achievement of shipping emission reduction targets and contributing to the sustainability of the shipping industry.
]]>Sustainability doi: 10.3390/su16062463
Authors: Yinfu Chen Peiyue Li Yuanhang Wang Jiahui Li
Loess disintegration is a significant physicochemical and mechanical dissolution process that occurs when loess comes into contact with water. This phenomenon contributes to geological disasters such as loess cave erosion, landslides, and debris flows. The disintegration of loess can be influenced by both internal and external factors. Research on internal factors of loess disintegration has been widely recorded, but the research progress on external environmental factors that affect loess disintegration is not well summarized. This review summarizes the impacts of external water environmental factors on loess disintegration and reveals that six external water environmental factors, namely the temperature of the aqueous solution, hydrodynamic conditions, solution pH, salt concentration and type in the solution, freeze–thaw cycles, and dry–wet cycles, can significantly impact loess disintegration. Furthermore, this review delves into three key research areas in loess disintegration under the influence of these water environmental factors: experimental research on loess disintegration, the disintegration parameters used in such research and their variations, and the water–soil chemical reactions and microstructural changes during loess disintegration. It concludes that current experimental research on loess disintegration suffers from inadequate studies, with existing research associated with poor comparability and weak representativeness, and a lack of comprehensive, systematic analysis of its regularities of influence and response mechanisms from both microscopic and macroscopic perspectives. This paper can provide valuable insights for the prevention of loess geological disasters and engineering safety construction.
]]>Sustainability doi: 10.3390/su16062464
Authors: Mir Shahid Satar Sager Alharthi Ghadah Alarifi Fandi Omeish
Social innovation as an outcome of social entrepreneurship represents the primary drive of social enterprises (SEs). In the emergent context of a digitally transforming entrepreneurship scenario, this study intends to investigate the role of digital capabilities (DC) in social innovation performance (SIP) in SEs while considering the underlying effects of a firm-level entrepreneurial orientation (EO). Utilizing a quantitative survey approach, the study acquired a total of 344 valid responses from SEs in Saudi Arabia. The data analysis performed through partial least square structural equation modeling (SmartPLS 3.0) revealed that DC have no direct impact on SIP in SEs. However, DC influence SIP through the full mediation effects of EO dimensions of social proactiveness, and social innovativeness. The mediation effects of social risk-taking on the DC-SIP relationship were not established. This work is the first to conceptualize and test a theoretical framework linking the DC and EO constructs concerning SIP in SEs. As a result, the study produces several academic and managerial implications underpinning social innovation amid the digitally transforming entrepreneurship context in SEs.
]]>Sustainability doi: 10.3390/su16062462
Authors: Dario Bottino-Leone Jessica Balest Valentina Miriam Cittati Simon Pezzutto Riccardo Fraboni Filippo Beltrami
There is currently a growing interest in lowering energy demand and, consequently, greenhouse gas emissions in all sectors. Several attempts by national governments to reduce energy demand are centered on the residential sector, since it accounts for a significant amount of the final energy demand. In order to estimate its energy demand and to evaluate the techno-economic effects of adopting energy efficiency and renewable energy technologies, there are comprehensive models suited for residential applications, since energy demand characteristics of the residential sector are complicated and interrelated. Based on these models, several tools are nowadays available to support designers and policymakers. These tools are designed to be user-friendly and to include the possibility to develop simulated scenarios for energy demand, production of CO2 emissions, and economic costs. The present study aims to offer an up-to-date extended overview of the most functional and widespread tools for the assessment of the current energy demand of the European building stock for space heating and cooling demand, both regarding open source and commercial licenses. Results highlighted the tools most commonly used by examining real applications, identifying their strengths and weaknesses and pinpointing the primary deficiencies for the benefit of future developers.
]]>Sustainability doi: 10.3390/su16062461
Authors: Noor AlQallaf Dalia W. Elnagar Sherif G. Aly Khalil I. Elkhodary Rami Ghannam
Climate change education is crucial for fostering informed and engaged future generations. However, traditional pedagogies often fail to engage learners fully and provide real-world, experiential learning. This paper presents a novel approach to climate change education through a three-day virtual reality (VR) hackathon. The hackathon focused on four United Nations (UN) Sustainable Development Goals (SDGs)—Quality Education, Affordable and Clean Energy, Sustainable Cities and Communities, and Climate Action. Using VR technology and game design software, engineering students worked in teams. They competed against each other in designing immersive environments that demonstrated their understanding of these SDGs and climate change. Our goal was to encourage the development of empathy, education, and awareness around these critical global issues. The hackathon also integrated authentic assessments, mirroring real-world engineering tasks and providing a more practical and relevant learning experience. Our findings suggest that this VR hackathon has significantly enhanced students’ understanding of the SDGs and climate change issues, their competency with VR technologies, as well as their teamwork and problem-solving skills. This paper discusses the hackathon’s design, implementation, and outcomes, highlighting the potential of such innovative approaches in tackling climate change education and awareness.
]]>Sustainability doi: 10.3390/su16062460
Authors: Simon S. M. Yuen H. Y. Lam
In an era marked by global challenges, for example, the COVID-19 pandemic, the pharmaceutical sector stands at the forefront of innovation, tasked with delivering therapeutic breakthroughs at an unprecedented pace. This study ventures beyond the well-trodden path by probing the intricate dynamics of knowledge sharing as a strategic catalyst for bolstering innovation capability and performance (ICP) within pharmaceutical firms. We argue that knowledge sharing transcends conventional utility, acting as a pivotal lever that amplifies innovation within a highly regulated and competitive landscape. Through meticulous analysis, we unearth a nuanced synergy among six pivotal domains—organizational culture, managerial commitment, technological infrastructure, trust, reciprocal benefits, and knowledge dissemination. Our research model, anchored in a robust body of literature, reveals that while these elements individually support ICP, their collective orchestration through knowledge-sharing networks yields a magnified impact on innovation outcomes. We present novel insights illustrating that the interplay between these domains and knowledge-sharing practices engenders a fertile ecosystem for innovation, where diverse stakeholders contribute to richer, more robust ICP. Our findings underscore the strategic imperative for pharmaceutical firms to cultivate an integrated knowledge-sharing culture, not merely as good practice but as a cornerstone for sustained innovation and competitive superiority in a rapidly evolving industry.
]]>Sustainability doi: 10.3390/su16062454
Authors: Kuk-Kyoung Moon Jaeyoung Lim Jeong-Seo Kim
The government sector in South Korea is witnessing a significant increase in employee turnover rates, a phenomenon that challenges the notion of organizational sustainability. This trend is particularly influenced by the influx of Generation MZ public employees who possess professional values distinct from those of older generations, thereby eroding the longstanding view of public service as a lifelong commitment. This shift necessitates the implementation of human resource management strategies that prioritize organizational justice to effectively reduce turnover intention in public employees, especially among the MZ generation, whose members strongly demand fair compensation and treatment. This study delves into the impact of distributive, procedural, and interactional justice on the turnover intentions of public employees while also exploring how these effects vary between Generation MZ and older generations. The study’s findings indicate that all three dimensions of justice inversely affect turnover intention. Interestingly, while generational differences do not significantly moderate the effects of distributive justice and interactional justice on turnover intentions, the influence of procedural justice in mitigating turnover intention is more pronounced among Generation MZ employees compared to their older counterparts. These insights highlight the critical need for human resource practices that bolster organizational justice. In public organizations with a significant number of Generation MZ employees, enhancing procedural justice can effectively reduce their intentions to leave. Additionally, the study underscores the importance of devising generational management strategies, particularly those that focus on fair processes for compensation distribution and supervisor treatment, to curb turnover intention, especially within the Generation MZ cohort of public employees in South Korea.
]]>Sustainability doi: 10.3390/su16062459
Authors: Nguyen Thi Thanh Binh Hung-Chang Lee
Amidst heightened scrutiny of corporate environmental, social, and governance (ESG) practices, this study employs threshold techniques combined with artificial neural networks to examine the impact of ESG disclosure on companies, emphasizing its pivotal role in promoting sustainability. Analyzing data from Taiwan’s 20 industries from 2012 to 2022, it finds that while ESG engagement positively influences financial performance, it also underscores the vital connection between corporate practices and sustainable development. This analysis explores the relationship between carbon emissions, operating expenses, and financial performance in the overall sample and a threshold sample based on a threshold variable. In the overall sample, carbon emissions significantly increase operating expenses, accompanied by other influential variables. Introducing a threshold value of firm size alters the dynamics, showing a positive and more pronounced impact in the threshold sample. The examination of financial performance metrics reveals significant positive associations with carbon emissions, particularly when the threshold is not met or exceeded. Intriguingly, subgroup analysis indicates a negative association between carbon emissions and financial performance within the larger-size subgroup, in stark contrast to a more pronounced positive relationship observed in the smaller-size subgroup. Furthermore, the developed ANN model exhibits robust learning capabilities, underscoring its efficacy in capturing complex patterns within the data. It suggests its potential as a reliable tool for accurately predicting carbon emissions across diverse scenarios, facilitating informed decision-making and policy formulation to mitigate environmental impact.
]]>Sustainability doi: 10.3390/su16062458
Authors: Yushuo Ren Guoming Zhang Jianxiang Zheng Huifang Miao
Safety in nuclear energy utilization is crucial. In the event of a radioactive release incident, coupled with meteorological uncertainties, a radioactive plume can impact personnel evacuation. This paper presents an integrated solution for radionuclide release accident assessment and emergency evacuation decision making. The solution consists of three processes: atmospheric dispersion calculation, dose calculation, and path planning. The individual processes are connected through data exchange, thus allowing users to choose specific models based on experience. The proposed scheme combination is the Gaussian plume model, the dose conversion factor method, and an improved Dijkstra’s path planning algorithm. This algorithm, combined with dispersion and dose results, weighs nodes using the moving expected dose, facilitating the path with minimum dose risk. A program for Atmospheric Diffusion and Dose Calculation (ADDC) is developed based on the recommended scheme. Advantages include ease of use, minimal data requirements, data accessibility, and efficient evacuation. Dose estimates and optimal evacuation routes can be obtained quickly and at very low cost in response to rapidly changing environmental conditions. In a case study at a Chinese planned nuclear plant, we consider a spent fuel pool water loss scenario, assessing dose risks from 2020 to 2022 meteorological statistics. In dose calculation, results reveal that during an SFP drying accident, the radiation dose in the core area (100 m away) can reach 30–150 mSv within 2 h, and at 500 m away, it can reach 5–15 mSv. The dose in all downwind directions can drop below 250 mSv within 60 m. In path planning, results reveal the program is capable of accurately and efficiently calculating the minimum dose evacuation route. The program’s path reduces the effective dose by up to 67.3% compared to the shortest route, enhancino safety, and guiding post-accident decision making and planning.
]]>Sustainability doi: 10.3390/su16062457
Authors: Ruizhi Liu Fei Song Mark Wu Yuming Zhang
In recent years, more and more research has focused on the impact of corporate social responsibility (CSR) on business activities. Due to the existence of two different theoretical perspectives, shareholder value theory and managerial opportunism theory, the research on CSR has reached different conclusions. Meanwhile, the motivations for environmental investments in enterprises have received attention from scholars. However, there is a lack of empirical research on the relationship between CSR and environmental investment. Therefore, this study conducts a regression analysis on the external evaluation of CSR and enterprises’ environmental investment using data from Chinese listed companies. The empirical results show a significant positive relationship between the external evaluation of CSR and enterprises’ environmental investment. The mediating tests conducted based on information transmission and resource acquisition mechanisms explain the reasons for this promotion effect, supporting the shareholder value theory. Furthermore, our research finds that this promotion effect is more significant in non-state-owned enterprises, enterprises receiving fewer environmental subsidies, enterprises disclosing environmental philosophies, and enterprises identified as key pollution-monitoring units in reports. The research findings of this study are meaningful for clarifying the economic consequences of CSR and provide practical evidence for Chinese enterprises to understand the importance of environmental investment and the government’s advocacy for enterprises to proactively engage in environmental investment.
]]>Sustainability doi: 10.3390/su16062456
Authors: Zauresh Atakhanova Mira Meirambayeva Marzhan Baigaliyeva
Kazakhstan experiences medium-high water stress, intensified by the rapid expansion of mining operations. Due to the scarcity of public data on water use in Kazakhstan’s mining, we use a case study to make inferences about industry-level water use. Specifically, we apply the ICMM water accounting framework and assess water use at one of Kazakhstan’s new copper mines. We find that this mine has managed to achieve a high level of water reuse and minimal impact on water quality. Yet, the company has a relatively high share of water entrained in waste and a high rate of increase in freshwater withdrawals. Our estimates suggest that the operation of this mine has resulted in a 1.5% increase in withdrawals of Kazakhstan’s extractive industries. Considering that during the last decade, the number of mining companies increased by 50%, we can conclude that the cumulative water impacts of mining in Kazakhstan have been substantial. The forthcoming uptake of critical minerals production may further strain Kazakhstan’s water resources. Thus, the rapidly increasing mine water use and rising risks due to climate change and the sharing of water with neighboring countries call for urgent strengthening of Kazakhstan’s water governance and institutions.
]]>Sustainability doi: 10.3390/su16062455
Authors: Marcos Manoel Lopes Junior Claudia Aparecida de Mattos Fábio Lima
Energy efficiency is a critical component in cleaner production, and evaluating the opportunities for saving energy could improve energy efficiency by reducing electricity consumption and increasing competitiveness. In this context, the aim of this study is to examine different scenarios that can lead to better energy efficiency in a short-cycle time flowshop, which is performed with the aid of digital manufacturing software. It has been widely acknowledged in the literature that changing the energy state of machines in short-cycle time flowshop manufacturing is impossible due to the high production volume, which requires the machines to operate full time. We used computational simulation, via digital manufacturing software, to examine the potential for improvements in energy indicators through various scenarios. The scenarios were built using energy and manufacturing data from a real system. The main contribution is in showing that, by controlling the buffers’ occupation, the feeding systems of the machines and planned introduction stop. In addition, it is possible to consider new energy states for the machines and, consequently, enhance the energy, as well as the sustainability, indicators in this type of manufacturing process.
]]>Sustainability doi: 10.3390/su16062453
Authors: Van Manh Do Quang Hoc Tran Khanh Giang Le Xuan Can Vuong Van Truong Vu
Early forecasting of vehicle flow speeds is crucial for sustainable traffic development and establishing Traffic Speed Forecasting (TSF) systems for each country. While online mapping services offer significant benefits, dependence on them hampers the development of domestic alternative platforms, impeding sustainable traffic management and posing security risks. There is an urgent need for research to explore sustainable solutions, such as leveraging Global Positioning System (GPS) probe data, to support transportation management in urban areas effectively. Despite their vast potential, GPS probe data often present challenges, particularly in urban areas, including interference signals and missing data. This paper addresses these challenges by proposing a process for handling anomalous and missing GPS signals from probe vehicles on parallel multilane roads in Vietnam. Additionally, the paper investigates the effectiveness of techniques such as Particle Swarm Optimization Long Short-Term Memory (PSO-LSTM) and Genetic Algorithm Long Short-Term Memory (GA-LSTM) in enhancing LSTM networks for TSF using GPS data. Through empirical analysis, this paper demonstrates the efficacy of PSO-LSTM and GA-LSTM compared to existing methods and the state-of-the-art LSTM approach. Performance metrics such as Root Mean Square Error (RMSE), Mean Absolute Error (MAE), and Median Absolute Error (MDAE) validate the proposed models, providing insights into their forecasting accuracy. The paper also offers a comprehensive process for handling GPS outlier data and applying GA and PSO algorithms to enhance LSTM network quality in TSF, enabling researchers to streamline calculations and improve supposed model efficiency in similar contexts.
]]>Sustainability doi: 10.3390/su16062452
Authors: Antonio Di Sabatino Giovanni Damiani Giada Ercolino Floriana Rossi Lino Ruggieri
In many EU countries, a large proportion of domestic effluents is treated in small, decentralized wastewater treatment plants (WWTPs) which often lack appropriate treatment technologies. The low efficiency of these systems and their incorrect maintenance often contribute to environmental deterioration, with a large quantity of inadequately treated sewage dispersed in the soil or discharged into superficial watercourses. In the Abruzzo region (Central Italy), almost all rivers and streams receive wastewater from Imhoff tanks with only primary treatments. The ecological impacts of these effluents have rarely been investigated. This paper aimed to evaluate the response of freshwater invertebrates to Imhoff effluents in receiving watercourses with different ecological status. Our results showed that wastewater from Imhoff plants negatively affected the structure and composition of freshwater communities, with a reduction in the richness and abundance of more sensitive taxa and an increase in the most tolerant ones. These negative effects were more accentuated during low flow periods and in streams with moderate ecological status. To improve the ecological status of rivers and streams and to limit the diffusion of pathogens and micropollutants in freshwater, a more efficient (secondary treatments, possibly with nature-based solutions) and sustainable (water reuse or sewage sludge recycling) approach to wastewater treatment in decentralized WWTPs is urgently needed.
]]>Sustainability doi: 10.3390/su16062449
Authors: Mukesh Gautam Timothy McJunkin Ryan Hruska
This article presents a resilient Integrated Resource Planning (IRP) framework designed for transmission systems, with a specific focus on analyzing and optimizing responses to High-Impact Low-Probability (HILP) events. The framework aims to improve the resilience of transmission networks in the face of extreme events by prioritizing the assessment of events with significant consequences. Unlike traditional reliability-based planning methods that average the impact of various outage durations, this work adopts a metric based on the proximity of outage lines to generators to select HILP events. The system’s baseline resilience is evaluated by calculating load curtailment in different parts of the network resulting from HILP outage events. The transmission network is represented as an undirected graph. Graph-theoretic techniques are used to identify islands with or without generators, potentially forming segmented grids or microgrids. This article introduces Expected Load Curtailment (ELC) as a metric to quantify the system’s resilience. The framework allows for the re-evaluation of system resilience by integrating additional generating resources to achieve desired resilience levels. Optimization is performed in the re-evaluation stage to determine the optimal placement of distributed energy resources (DERs) for enhancing resilience, i.e., minimizing ELC. Case studies on the IEEE 24-bus system illustrate the effectiveness of the proposed framework. In the broader context, this resilient IRP framework aligns with energy sustainability goals by promoting robust and resilient transmission networks, as the optimal placement of DERs for resilience enhancement not only strengthens the system’s ability to withstand and recover from disruptions but also contributes to efficient resource utilization, advancing the overarching goal of energy sustainability.
]]>Sustainability doi: 10.3390/su16062450
Authors: Nazanin Zare Elżbieta Macioszek Anna Granà Tullio Giuffrè
Urban mobility underscores the vital importance of ensuring traffic efficiency on road segments, intersections, and transportation networks, especially in challenging circumstances. In this perspective, the essential approach to improving urban intersection efficiency should involve understanding critical factors for maintaining operational performance in the face of disruptions such as storms. This paper, inspired by a systematic literature review, presents a novel heuristic for evaluating urban intersection efficiency, with resilience as its guiding principle. The methodological path was designed to address the fundamental question: How can urban intersections be designed and managed to ensure efficiency and resilience in the face of disruptions? Drawing inspiration from the Highway Capacity Manual procedure, the methodological approach encompasses both pre-storm and post-storm scenarios, comparing delay times at roundabouts and signalized intersections before and after a storm. The results reveal significant changes in delay times for traffic signals, although the choice between roundabouts and signalized intersections should be context-specific, considering factors like traffic conditions, resilience requirements, and associated trade-offs. By shedding light on the interplay between intersection design, control strategies, and urban resilience, this research provides valuable insights into integrating resilience considerations into intersection performance assessment and management strategies. It also underscores how particular intersection designs can impact efficiency and recovery, essential considerations when assessing whether a road or intersection project is resilient.
]]>Sustainability doi: 10.3390/su16062451
Authors: Frederik Nikolai Schulz Alexander A. Kugel Jon H. Hanf
Non-alcoholic alternatives are gaining growing significance within the German beverage sector. In this context, the German wine industry is increasingly focusing on non-alcoholic wines, whose market has developed dynamically in recent years. While the technologies used, the sensory characteristics and the marketing of the products are frequently addressed in the literature, the consideration of sustainability impacts has so far been largely neglected. This applies in particular to the view of all three dimensions of sustainability. These are examined more closely in this review with regard to tradeoffs, which indicate that positive aspects in one dimension go hand in hand with a loss in the other. It can be shown that tradeoffs in the production and marketing of non-alcoholic wines arise both within and between the three sustainability dimensions. Exemplary of this is the increased use of resources in the course of alcohol removal. At the same time, an emerging market segment holds positive aspects from an economic perspective. Ultimately, the consideration of social sustainability is marked by the health science and political debate around the reduction in alcohol consumption and the simultaneous increase in the consumption of non-alcoholic alternatives.
]]>Sustainability doi: 10.3390/su16062448
Authors: Pilar Aramburuzabala Irene Culcasi Rosario Cerrillo
In an era driven by technology and connectivity, where the sphere of learning goes beyond conventional classrooms, virtual service-learning merges the possibilities of technology with the principles of experiential education in a powerful blend. Service-learning (SL) is an educational proposal that has been recognized by UNESCO as an innovative educational tool through which to address the complex challenges of our society. The Sustainable Development Goals provide a framework around which to structure the SL projects and thus develop the skills needed to act on the full range of goals. Embedding digital service-learning means opening a debate on the intricate relationship between technology, education, and societal impact. This study aims to explore the perspectives of students, faculty and community partners on the combination of SL and digital empowerment (DE) under the sustainability education principles. The study adopted a qualitative approach. Data were gathered through two focus groups involving faculty, students and community partners. The focus group participants discussed the opportunities for innovation, the expected impact on them and on society as a whole, their needs, the pre-conditions for making SL and DE successful, and limitations or undesirable outcomes. The results are presented according to the six principles of sustainability education in the university environment, highlighting the transformative potential of combining these principles within SL and DE.
]]>Sustainability doi: 10.3390/su16062447
Authors: Markus Niehaus Marian Mocan
Companies around the world are facing global challenges, such as internationally interwoven crisis situations and conflicts, climate change, the effects of the COVID-19 pandemic, and technological disruptions. While the UN has developed a global agenda (namely, the SDGs) to drive sustainability, at a political and economic level, global players seem to have a rather heterogeneous understanding of the situation. How can companies successfully adapt to the resulting turbulent market environments? Design Thinking, a method for finding answers to complex and wicked problems, is experiencing a renaissance wherein it is being used not only as a tool for product innovation but also for organizational and strategic transformation. By incorporating the principles of Industry 5.0 into company visions and integrating Design Thinking and ecodesign at the level product innovation, Design Thinking can help strengthen the adaptability of companies and create sustainable innovations in these VUCA environments. However, the factors that are necessary to realize the full potential of Design Thinking for sustainable business transformation remain unclear in science. This paper presents a case study that shares key factors, including a company DNA that consists of a targeted orchestration of diversity and the company’s Love–Trust–Do mantra that, in combination, work transnationally in the company organization and can utilize the full potential of Design Thinking to foster sustainable innovation and thus strengthen the company’s resiliency in times of VUCA.
]]>Sustainability doi: 10.3390/su16062445
Authors: Chuanming Yang Jie Shen Zhonghua Jiang Junyu Chen Yi Xie
The scientific measurement of regional atmospheric environmental efficiency is an important prerequisite for achieving energy conservation and haze reduction and regional green and high-quality development. Taking the cities in the Yangtze River Delta region from 2012 to 2021 as the research object, the atmospheric environmental efficiency is measured from both static and dynamic perspectives using the three-stage DEA model and the Malmquist index to analyze the characteristics of spatial and temporal differences. The study finds that the real atmospheric environmental efficiency of the Yangtze River Delta region is 0.915, and the elimination of environmental factors and random errors is crucial to the assessment of the efficiency. The atmospheric environmental efficiency of the Yangtze River Delta region is not 1, and there is still room for improvement, in which the pure technical efficiency is the main factor that leads to the overall low efficiency. Different environmental variables have different impacts on the atmospheric environmental efficiency, in which the positive impact of the industrial structure is the most significant. Urban agglomerations can be categorized into “high–high–high”, “high–low–high”, “low–low–high”, and “low–high–low”. The total factor productivity of the atmospheric environment showed a gradual growth trend during the study period, in which technological progress played the most important role. Based on this, countermeasures are proposed to better enhance the level of atmospheric environment management in the Yangtze River Delta region.
]]>Sustainability doi: 10.3390/su16062446
Authors: Mark Jenkins Sean Loughney Dante Benjamin Matellini Jin Wang
Repeated regulatory incident investigations demonstrate the insufficiency of company risk assessments and the vulnerabilities that this exposes to the business and its duty holders who are, ultimately, culpable for the subsequent legislative breaches. While the epistemology and taxonomy of the traditional risk assessment are well established, there is a paucity of information that allows the verification and validation of the risk assessment content. Using evidence-based methodologies such as Content Analysis, Thematic Analysis, and validating the outputs using a survey, it became possible to “reverse engineer” the risk assessment content. This analysis of the published risk assessments, kindly supplied by six different Renewable Energy businesses, established that deterministic and behavioristic risk management methodologies had been adopted. These methodologies permitted and guided the use of vague and imprecise terminology and phraseology, numerical inconsistencies resulting in data ossification, and flawed assumptions. This analysis enables the duty holders to make informed and rational judgements about the adequacy of the risk assessment documents, and the process that permitted and guided their creation.
]]>Sustainability doi: 10.3390/su16062444
Authors: Luisa Barbieri Luca Lanzoni Roberta Marchetti Simone Iotti Angelo Marcello Tarantino Isabella Lancellotti
Soil has long been one of the most widely used building materials globally. The evolution of soil-based construction materials has seen steady improvement over the centuries, even as traditional materials have given way to newer options like reinforced concrete. Nonetheless, soil-based construction has maintained its relevance and, in recent decades, has garnered increased attention due to sustainability concerns and renewed research interest. Among the innovative earth-based materials, shot-earth (SE) stands out as one of the most advanced. Research on SE has facilitated efficient handling of soil variability in mix design and provided structural engineers with relevant models for dimensioning and detailing reinforced SE constructions. This paper focuses on studying the durability characteristics of various types of SE to ascertain their ability to withstand environmental degradation over their intended lifespan. The tests conducted indicate that SE can serve as a viable construction material in numerous real-life scenarios, offering a sustainable alternative to existing materials.
]]>Sustainability doi: 10.3390/su16062443
Authors: Shun Jia Yang Yang Shuyu Li Shang Wang Anbang Li Wei Cai Yang Liu Jian Hao Luoke Hu
Exploration of the green flexible job-shop scheduling problem is essential for enterprises aiming for sustainable practices, including energy conservation, emissions reduction, and enhanced economic and social benefits. While existing research has predominantly focused on carbon emissions or energy consumption as green scheduling objectives, this paper addresses the broader scope by incorporating the impact of variable energy prices on energy cost. Through the introduction of an energy cost model based on time-of-use electricity pricing, the study formulates a multi-objective optimization model for green flexible job-shop scheduling. The objectives include minimizing cost, reducing carbon emissions, and maximizing customer satisfaction. To prevent premature convergence and maintain population diversity, an enhanced genetic algorithm is employed for solving. The validation of the algorithm’s effectiveness is demonstrated through specific examples, providing decision results for optimal scheduling under various weight combinations. The research outcomes hold substantial practical value as they can significantly reduce energy expenses, lower carbon emissions, and elevate customer satisfaction while safeguarding production efficiency. This contributes to enhancing the market competitiveness and green brand image of businesses.
]]>Sustainability doi: 10.3390/su16062441
Authors: Juan J. Espada Rosalía Rodríguez Andrea Delgado Gemma Vicente Luis Fernando Bautista
Phytoremediation stands out as a promising technology for removing heavy metals from contaminated soils. This work focuses on studying the environmental performance of phytoremediation in removing copper from contaminated soil located in an old Spanish mine using the life cycle assessment (LCA) method. For this purpose, Brassica juncea (brown mustard), Medicago sativa (alfalfa) and their rotary cultivation were assessed along with different options for managing biomass (landfill disposal and biomass cogeneration). In addition, soil excavation and soil washing treatments were also compared to phytoremediation. M. sativa proved superior to B. juncea and their rotary cultivation, regardless of the biomass disposal option, achieving impact reductions of 30–100%. This is due to the ability of M. sativa to fix nitrogen, which reduces fertiliser requirements. Among the biomass management alternatives, cogeneration was superior to landfill disposal in all cases by allowing for energy recovery, thereby reducing environmental impacts by 60–100%. M. sativa + cogeneration is the option that presents the best environmental performance of all the studied treatments, achieving reductions up to negligible values in four of eight impact categories due to the impacts avoided by energy production. On the contrary, soil excavation is the less desirable option, followed by soil washing treatment.
]]>Sustainability doi: 10.3390/su16062442
Authors: Hua Xu Weiming Cheng
China’s Fushun open-pit mine is the largest century-old coal mine in Asia. Large-scale mining and the use of coal has caused dramatic changes in the regional urban landscape pattern, seriously affecting the ecological function and ecosystem stability of its surrounding landscape. Evaluating the ecological risks of the landscape in the urban areas of open-pit mines contributes to the risk management of regional ecosystems and the sustainable development of society. This study selected six-phase Landsat ETM/OLI remote sensing images from 1995 to 2020 and combined them with the random forest model to carry out an LULC classification of the open-pit mine and its surrounding areas and, on this basis, discusses the evolution of its landscape pattern and evaluates the ecological risks. It fills the gap in the research on the evolution of regional landscape patterns and ecological risks in the study area and improves the automatic classification efficiency of LULC for use in open-pit mines. The results show that the classification accuracy of LULC regarding open-pit mines based on image pixels and the random forest model can reach 30 m, and the rate of accuracy can reach 92–97%. From 1995 to 2020, the coverage area of forest land and building land in the study area has increased and is mainly composed of grassland and undeveloped land. The use of land was transferred to the mining area, the water body area maintained a relative dynamic balance, and the overall vegetation coverage of the mining area was greatly improved; the forest land began to expand from the surrounding area to the mining area in 2010, and the construction land began to move from the areas surrounding the mining area to the surrounding valleys in 2015. The landforms have extended radially, and the landscape sprawl index has increased, indicating the optimization of the ecological environment; the high- and medium-risk areas decreased by 75.51 km2, the low-risk areas expanded by 461.48 km2, and the overall ecological risk index decreased. From this, it is possible to conclude that the landscape restoration project adopted in the study area has achieved great results, and the improvement of the ecological environment also directly affects the increase of construction land. These research results can provide scientific guidance for the rational utilization and sustainable development of land resources in urban areas of open-pit mines.
]]>Sustainability doi: 10.3390/su16062439
Authors: Rosa Vitiello Francesco Taddeo Riccardo Tesser Gabriella Di Natale Marco Trifuoggi Mariano Baldoni Martino Di Serio
Nowadays, attention to the environment is increasingly emphasized by the scientific community. Different measures have been adopted to ensure a lower environmental impact and increase the sustainability of industrial processes. This work fits well with these principles, as it focuses on the determination of pollutants in waste lubricating oils derived from the industrial and automotive sectors to quantify their concentration for potential recovery and subsequent reuse. Modern waste oils, especially those derived from industrial processes, contain pollutants and metals (most importantly, silicon). It is of utmost importance to determine the silicon content in the collected waste oils to verify the possibility of recycling them since high concentrations can badly affect the industrial operations in which they can be involved. One of the most applied analytic methods for controlling the content of metals is the ASTM D5185-18, Standard Test Method for Multielement Determination of Used and Unused Lubricating Oils and Base Oils by Inductively Coupled Plasma Atomic Emission Spectrometry (ICP-AES). However, this method was certified for 50 mg/kg of maximum silicon content. To extend this range, CONOU, because of its duty to monitor waste oil quality, organized an interlaboratory comparison to verify the applicability of ASTM D5185-18 and also to samples of used oils containing higher concentrations of silicon. This work describes the details of the employed methodology and the results of the interlaboratory comparison that showed the applicability of ASTM D5185-18 also to samples containing silicon concentrations higher than 1000 ppm.
]]>Sustainability doi: 10.3390/su16062440
Authors: Ruikun An Feng Wang Jiro Sakurai Hideki Kitagawa
Implementing payments for ecosystem service (PES) programs in national parks has proven effective in balancing the conflicts between ecosystem conservation and economic development, achieving long-term sustainability. Residents’ participation and financial contributions are crucial prerequisites for establishing PES programs in national parks. Hence, it is necessary to investigate residents’ willingness to participate in and pay before its official operation in China’s Qinling National Park. By adopting a contingent valuation method, this study collects 1431 face-to-face, one-to-one questionnaire answers from rural residents in the region. The results show that 76.7% of the sample are willing to participate in the ecosystem conservation of Qinling National Park, although their willingness to pay is relatively low, with the average being RMB 136.5 (USD 20.3) per household per year. Moreover, informal institutions maintained by social trust continue to play an essential role in this rural area. Residents’ willingness to participate is positively influenced by their social trust, which includes both institutional and interpersonal trust. Additionally, their willingness to pay is positively affected by their household income and cultural preferences. Finally, residents’ occupation as farmers exhibits a negative moderating effect on the direct influence of their household income on their willingness to pay, while their education level positively moderates the impact of their cultural preferences on their willingness to pay.
]]>Sustainability doi: 10.3390/su16062436
Authors: Jean Brustel Monique Berger Amandine Arnal Patrice Jeanson Jean Dayde Cecile Levasseur-Garcia
The isoflavones in the cotyledon of soybean seeds mimic human estrogen in structure, conferring them complex effects on health. Their regulation represents a major challenge for the sustainable breeding of new varieties with lower levels of potential endocrine disruptors. To develop a rapid, nondestructive, and eco-friendly analysis method, this study explores how sample grinding affects the results of near-infrared spectroscopy (NIRS) and the preprocessing methods. The prediction of the daidzein and genistein content would help the specific reduction in isoflavones in the cotyledon without harming seed development. The potential of a nonlinear approach (artificial neural network) is also compared with the more conventional partial least squares (PLS) regression. The isoflavone content of cotyledons from 529 soybean samples (65 genotypes) was quantified by HPLC, and the NIR spectra of these samples were collected using a Brucker multi-purpose analyzer. The spectra of whole and ground cotyledons were also collected for 155 samples. The results show that grain fragmentation improves the model calibration, although spectral preprocessing can harmonize this effect. Although the best PLS regression in cross-validation did not suffice to quantify the daidzein and genistein percentages, the artificial neural network (ANN) approach allowed us to develop much more reliable models than PLS. The performance of ANNs in external validation is remarkable in terms of both precision and applicability (R2 = 0.89 and a ratio of prediction to deviation of 2.92), making ANNs suitable in the breeding context for screening soybean grains regarding their isoflavone content.
]]>Sustainability doi: 10.3390/su16062438
Authors: Anna Savoldelli Daniele Landi Caterina Rizzi
The significant consumption of resources within the healthcare sector underscores the need to address both efficiency and sustainability concerns. Telemedicine has been identified as one of the most promising pathways for reducing the environmental impacts of the healthcare sector. However, a comprehensive sustainability assessment is still required. The main aim of the present study is to conduct a systematic literature review to explore approaches and methodologies employed for quantifying the environmental, social, and economic impacts of telemedicine. Moreover, the research seeks to determine whether the approaches focus on a single aspect or whether they allow for a comprehensive assessment including all three sustainability pillars. The searching phase was conducted in the Scopus and PubMed databases, considering last 10 years (i.e., 2013–2023). Keywords were related to remote care and sustainability impact fields. Following the PRISMA framework, out of 477 articles, 91 studies were included in the analysis. Primary findings highlighted that studies on telemedicine impacts predominantly focus on transport-related aspects, emphasizing direct emissions and associated costs that are avoided and time savings. Televisit emerged as the most investigated remote care activity. Database and conversion factors were mainly employed for analysis, while other methodologies were sporadically mentioned in the literature. Despite numerous papers addressing these issues, a standardized and comprehensive methodology still appears to be lacking. Future works should consider the entire life cycle process, including more stakeholders. A defined approach will be fundamental to move beyond theoretical discussions and provide actionable insights for healthcare practitioners, policymakers, and researchers.
]]>Sustainability doi: 10.3390/su16062437
Authors: Manuel De Rose Rosolino Vaiana Cesare Oliviero Rossi Paolino Caputo
Recently, the feasibility of using bio-materials to reduce or completely replace the use of bitumen in asphalt mixture has gained increasing attention. Amongst others, an interesting solution is represented by the use of wood co-products with mineral or vegetable oils. This research focuses on the development of bio-binders using vegetable resin (VR) in unmodified form and waste olive oil (WOO) as the main components; in order to optimize the rheological properties of the blends, crumb rubber from end-of-life tyres (CR), Styrene-Butadiene-Styrene (SBS) and polyethylene waxes (PEW) are used as additives. In particular, this investigation focuses on studying different oil/rosin ratios and polymer contents to provide a clear framework on this bio-binder solution; conventional bituminous binders are taken as a reference. The alternative binders are characterized in terms of conventional properties such as penetration depth and softening point, as well as rheological response. Finally, two of the bio-binders studied are selected with the aim of assessing the mechanical properties of the resulting sustainable asphalt mixture using the Marshall Stability test and the Indirect Tensile Strength test, comparing the results with the threshold values set by an Italian road agency. Thus, this research represents a preliminary analysis of the potential application of bio-binder mixtures within the specification limits imposed by road agencies. Although this research represents a first attempt, the results are promising and prove to be worthy of further investigations.
]]>Sustainability doi: 10.3390/su16062435
Authors: Maria Rosa Trovato Vittoria Ventura Monia Lanzafame Salvatore Giuffrida Ludovica Nasca
The research deals with the issue of the seismic and energy retrofit of historic building fabrics having as reference a historic district of Syracuse (Italy). The prospect of the ecological transition on the one hand and the public support funding on the other claim for a valuation programming approach implying the creation of multiple scenarios, each of which is inspired by a different and complementary degree of “saliency and urgency”. These two dimensions of “being worth” by a building aggregation having an its own shape and belonging to a larger and more complex urban system need to be addressed according to some axiological reference, in this case, the concerns of the efficiency and fairness of public spending. This experience concerns the creation of a value-based programming pattern of the seismic–energy retrofit process framed in a Building Information Modelling (BIM) environment aimed at identifying the best intervention strategy among the several ones that can be generated in the logic of the parametric design. Both seismic and energy retrofit expected performances, in fact, can be scaled, complementing the extension and intensity of the interventions. This experiment takes advantage of the BIM multidimensional logic in line with the multiple scales and purposes implied by the relationships between individual/communal axiological profiles and present/future prospects. The experiment consists of the creation of an additive cost-oriented design platform based on which the different and progressive combinations of intensity and extension of the interventions can be compared and selected.
]]>Sustainability doi: 10.3390/su16062434
Authors: Alton C. Byers Milan Shrestha Andrew Zackary Elizabeth A. Byers Broughton Coburn Teiji Watanabe Mohan B. Chand
The Kanchenjunga Conservation Area (KCA) is a high mountain protected area (MPA) in eastern Nepal undergoing socioeconomic and environmental changes that are unprecedented in the region’s history. In the following paper, we discuss recent changes involving new road construction, climate change, adventure tourism, and the wildlife/forest cover/medicinal plant sectors. Our assessments are based on the collective results of past and recent field research, remote sensing analysis, oral histories, and literature reviews. While similar changes are occurring in MPAs throughout Nepal, it is suggested that the KCA differs from other regions in that it still retains the option of conducting detailed feasibility, environmental, and impact assessments prior to the implementation of major change-associated projects, particularly the construction of roads. In turn, the KCA might avoid many of the environmental, social, and economic problems experienced elsewhere in Nepal, while enhancing its status, income-generating capacities, and sustainability as a global destination for adventure, nature, and cultural tourism.
]]>Sustainability doi: 10.3390/su16062433
Authors: Liu Li
China’s economy has shifted to a new stage of high-quality development, which means that economic development is no longer simply pursuing the increase of quantity, but a balance of quality and quantity. High-quality economic development (HQED) has become essential for China to achieve sustainable economic and social advancement. This paper explores the influence of green finance on HQED, along with the mediating roles of green innovation and industrial structure upgrading. A fixed-effects model is employed to assess the relationship between green finance and HQED and conduct an empirical test in the Beijing–Tianjin–Hebei (BTH) region of China. The findings reveal that green finance significantly contributes to the HQED of the BTH region, and green innovation and industrial structure upgrading have intermediary effects in this process. Based on these insights, this paper proposes several strategies to improve HQED in China, including the development of a green financial system, the promotion of green innovation, and the acceleration of industrial structure optimization and upgrading in the BTH region.
]]>Sustainability doi: 10.3390/su16062432
Authors: Y. Cheng T. W. Ching
A novel distributed feedback optimization-based controller for electric vehicle (EV) chargers and renewable energy sources (RESs) in distribution systems is proposed. The proposed controller utilizes the flexibility in EV chargers’ active and reactive power consumption to offer the desirable vehicle-to-grid services. Instead of using the conventional cascaded PI controllers, a new optimization-based approach is proposed to control RESs to track their power injection setpoints. The proposed controller formulates the control targets as a single constrained optimization problem, i.e., to minimize the critical bus voltage magnitude deviations while driving RESs to follow their power setpoints, thereby fulfilling the EV charging requirements and regulating their power outputs and bus voltage magnitudes to stay within their limits. A distributed feedback optimization-based control algorithm is designed for EV chargers and RESs to steer the system trajectories of the distribution systems towards the optimal solution of the formulated optimization problem. Simulation results show that the proposed controller can always steer the test system to the optimal solution of the optimization problem. The advantages of the real-time vehicle-to-grid power compensation of EV chargers are also demonstrated.
]]>Sustainability doi: 10.3390/su16062431
Authors: Justyna Staninska-Pięta Paweł Cyplik Agnieszka Drożdżyńska Agnieszka Piotrowska-Cyplik
The agro-food industry produces large amounts of secondary by-products, which can act as a source of bio-active ingredients. These ingredients can be used as valuable additives to support the sustainable circular economy concept. This study aimed to analyze the potential application of horseradish and grapevine leaves in the fermentation process of low-salt pickled cucumbers to improve their sensory and functional properties. The pour plate technique, RT-qPCR, HPLC, and a nine-point hedonic scale test with penalty analysis were used to analyze the traditionally fermented product. The research showed that the addition of both horseradish and grapevine leaves did not negatively affect the kinetics of fermentation and had a positive effect on the overall desirability. Moreover, they contributed to an increase in the concentration of antioxidant compounds, namely gallic acid (grape leaves) and ellagic acid (grapevine and horseradish leaves). Bacterial metabiome analysis showed the positive effect of all analyzed additives on an increase in the relative expression of genes responsible for the synthesis of selected bacteriocins (plantaricin and acidocin). Research results indicated a high potential for sustainable use of by-products (horseradish and grapevine leaves) in the production of traditional low-salt fermented cucumbers with high health-promoting potential.
]]>Sustainability doi: 10.3390/su16062430
Authors: Maojun Duan Fenghui Dong Jiaqing Wang
As the core course of civil engineering, the teaching quality of bridge engineering and the learning effectiveness of students are crucial for the construction of bridge engineering. The traditional teaching of bridge engineering courses tends to be teacher-centered, with learning as a supplement, and therefore is commonly referred to as teacher-centered. This article analyzes the drawbacks of the teacher-centered teaching model and proposes a student-centered holographic teaching method in the teaching practice of bridge engineering courses. By reconstructing the learning content and constructing a holographic information field from a comprehensive perspective of digital, physical, and humanistic aspects, a teacher–student learning community guided by teachers and deeply participated in by students is established. From the perspective of integrating life experience, professional knowledge cognition, and engineering philosophy thinking, the learning effect of students is made high order, innovative, and challenging. The improved analytic hierarchy process (AHP) was used to evaluate the student-centered holographic teaching concept, and the results showed that adopting a multidimensional and multi-level holographic teaching method has great practical significance in promoting the establishment of student knowledge systems and the development of diversity.
]]>Sustainability doi: 10.3390/su16062429
Authors: Changhong Zhou Mu Chen Jiangtao Chen Yu Chen Wenwu Chen
The frequency of extreme weather events has increased worldwide, leading to more intense natural disasters, which pose significant threats to human life and property safety. The main form of disaster occurrence is multi-hazard coupling and multi-hazard chaining. This paper constructs a road natural disaster risk assessment model using a fuzzy comprehensive evaluation method and neural network to quantitatively analyze road disasters with multiple hazards, and provides valuable insights for the predication of road natural disaster risk. Here, ten factors, including temperature, relative humidity, precipitation, elevation, slope, slope orientation, vegetation cover, geologic lithology, historical impact factors, and road density, were selected as input variables, and risk grade was selected as the output value (the evaluation results). The remaining hidden layers use the fully connected neural network. This model was first trained using historical data (from 2011 to 2021) obtained from road networks and natural disasters in Guangxi, China. Then, taking Lingchuan County as an example, the model was used to predict the risk of natural disasters on its roads, and, finally, the prediction accuracy of the model was determined by comparing the results with actual disaster situations. This study can provide theoretical support and technical operations for the development of subsequent early warning systems.
]]>Sustainability doi: 10.3390/su16062428
Authors: Laila Almulla Binson Mavelil Thomas Mustapha F. A. Jallow Amwaj Al-Roumi Yeddu Devi Joby Jacob
Inappropriate waste disposal imposes significant health risks in densely populated urban environments and schools, necessitating sustainable waste management. Therefore, a study was carried out at Al-Jazaer School, Kuwait, to evaluate rotary drum composting (RDC) of organic school waste comprising used paper, dry leaves, and vegetable food wastes in a 1:4:20 ratio. Feedstock comprising 42% organic school wastes, 42% horse manure, and 16% sawdust produced mature compost with a C:N ratio of 20.55 on the 43rd day of composting. Distinct mesophilic, thermophilic, cooling, and curing phases were observed during composting. Mature compost recorded a moisture content of 54.3%, pH 8.56, EC of 2.71 mS/cm, total nitrogen of 0.77%, total organic carbon of 18.25%, carbon content of 15.86%, and sulfur content of 0.14%. Soilless growing media comprising peat moss, perlite, and rotary drum compost in three proportions (1:1:1, 1:1:2, and 1:1:3), and peat moss, perlite, and commercial organic compost in a 1:1:3 ratio were evaluated for greenhouse vegetable production. The performance of cucumbers (Cucumis sativus cv. Ramos) raised in the lowest proportion of in-house prepared rotary drum compost (1:1:1 ratio) was comparable with that raised in the highest proportion of commercial compost (1:1:3). The study revealed the potential of RDC for decentralized sustainable waste management at the small-community scale and the suitability of compost from school wastes for soilless culture.
]]>Sustainability doi: 10.3390/su16062427
Authors: Zhexuan Mu Fuquan Zhao Fanlong Bai Zongwei Liu Han Hao
The electrification of heavy-duty trucks stands as a critical and challenging cornerstone in the low-carbon transition of the transportation sector. This paper employs the total cost of ownership (TCO) as the economic evaluation metric, framed within the context of China’s ambitious goals for heavy truck electrification by 2035. A detailed TCO model is developed, encompassing not only the vehicles but also their related energy replenishing infrastructures. This comprehensive approach enables a sophisticated examination of the economic feasibility for different deployment contexts of both fuel cell and battery electric heavy-duty trucks, emphasizing renewable energy utilization. This study demonstrates that in the context where both fuel cell components and hydrogen energy are costly, fuel cell trucks (FCTs) exhibit a significantly higher TCO compared to battery electric trucks (BETs). Specifically, for a 16 ton truck with a 500 km range, the TCO for the FCT is 0.034 USD/tkm, representing a 122% increase over its BET counterpart. In the case of a 49 ton truck designed for a 1000 km range, the TCO for the FCT is 0.024 USD/tkm, marking a 36% premium compared to the BET model. The technological roadmap suggests a narrowing cost disparity between FCTs and BETs by 2035. For the aforementioned 16 ton truck model, the projected TCO for the FCT is expected to be 0.016 USD/tkm, which is 58% above the BET, and for the 49 ton variant, it is anticipated at 0.012 USD per ton-kilometer, narrowing the difference to just 4.5% relative to BET. Further analysis within this study on the influences of renewable energy pricing and operational range on FCT and BET costs highlights a pivotal finding: for the 49 ton truck, achieving TCO parity between FCTs and BETs is feasible when renewable energy electricity prices fall to 0.022 USD/kWh or when the operational range extends to 1890 km. This underscores the critical role of energy costs and efficiency in bridging the cost gap between FCTs and BETs.
]]>Sustainability doi: 10.3390/su16062426
Authors: Zorana Zoran Stanković Milena Nebojsa Rajic Zorana Božić Peđa Milosavljević Ancuța Păcurar Cristina Borzan Răzvan Păcurar Emilia Sabău
Surging electricity demand, its limited supply, and the pandemic crisis are just some of the key factors that resulted in changes in electricity prices on the power exchanges. This topic brings about a notable economic influence on both producers and consumers. The main purpose of this paper is to explore power price volatility during the four-year period from 1 January 2018 to 31 December 2021, in 28 power exchanges in Europe, measured using daily velocity data. In addition, based on the fixed and chain base index numbers, as well as their relative merits, this paper was designed to measure the gap and convergence in trends. Considering that the price volatility varies depending on the observation period, this paper performs a comparative analysis of electricity price volatility on a daily, monthly, quarterly, and annual level for all examined countries. The obtained results indicate that electricity price volatility is higher on a daily basis. Related to this, convergent trends are demonstrated on all 28 observed markets, and there is a growing trend of hourly spot prices in the analyzed four-year period. The results of this paper also confirm a higher power price volatility during the pandemic period in 2020 and 2021 compared to the prepandemic period during 2018 and 2019.
]]>Sustainability doi: 10.3390/su16062425
Authors: Roberto Fragomeli Azzurra Annunziata Gennaro Punzo
In the modern era, the imperative of digitalisation to enhance competitiveness spans various sectors, with agriculture being no exception. Agriculture 4.0, strategically positioned to address challenges like climate change, food security, and resource preservation, holds the potential to increase productivity, profitability, and sustainability in agriculture. Despite the global accessibility to digital technologies, their adoption within the agriculture sector, especially among small and medium-sized farms, encounters obstacles. Realising the full potential of Agriculture 4.0 requires understanding the factors influencing technology adoption. To address this, the study conducts a systematic literature review using the PRISMA method, focusing on identifying the primary drivers and barriers associated with the implementation of Agriculture 4.0 technologies. The study is complemented by a network analysis of the identified drivers and barriers. A total of 42 articles from 2011 to 2023, sourced from the Scopus database, are examined. Individual and farm-related factors play a crucial role in driving the adoption of smart farming technologies, along with social trust and influence. Economic constraints and lack of infrastructure, such as internet access, emerge as significant barriers. The identified drivers and barriers can inform the development of strategies to promote the transition to Agriculture 4.0. Farmers stand to benefit from insights into potential advantages, required skills, and challenges, aiding informed decision-making in the adoption of Agriculture 4.0 technologies.
]]>Sustainability doi: 10.3390/su16062424
Authors: Janja Vaupotič
Initially, basic equations are given to express the activity concentrations and concentrations of potential α-energies of radon (222Rn) and thoron (220Tn) and their short-lived products in indoor air. The appearance of short-lived products as a radioactive aerosol is shown, and the fraction of the unattached products is particularly exposed, a key datum in radon dosimetry. This fundamental part is followed by giving the sources of radon and thoron indoors, and thus, their products, and displaying the dependence of their levels on the ground characteristics, building material and practice, and living–working habits of residents. Substantial hourly, daily, and seasonal changes in their activity concentrations are reviewed, as influenced by meteorological parameters (air temperature, pressure, humidity, and wind speed) and human activity (either by ventilation, air conditioning and air filtration, or by generating aerosol particles). The role of the aerosol particle concentration and their size distribution in the dynamics of radon products in indoor air has been elucidated, focusing on the fraction of unattached products. Intensifying combined monitoring of radon short-lived products and background aerosol would improve radon dosimetry approaches in field and laboratory experiments. A profound knowledge of the influence of meteorological parameters and human activities on the dynamics of the behaviour of radon and thoron accompanied by their products in the air is a prerequisite to managing sustainable indoor air quality and human health.
]]>Sustainability doi: 10.3390/su16062423
Authors: Tri-Dung Nguyen Uday Venkatadri Tri Nguyen-Quang Claver Diallo Duc-Huy Pham Huu-Thanh Phan Le-Khai Pham Phu-Cuong Nguyen Michelle Adams
Managing uncertainties and risks is always a difficult but fascinating task in fresh fruit supply chains, especially when dealing with the strategy for the production and conveyance of fresh fruit in Vietnam. Following the COVID-19 outbreak, the confluence of economic recession and persistent adverse weather conditions has exacerbated challenges faced by dragon fruit cultivators. This research investigates a two-stage stochastic programming (TSSP) approach which is developed and served as a valuable tool for analyzing uncertainties, optimizing operations, and managing risks in the fresh fruit industry, ultimately contributing to the sustainability and resilience of supply chains in the agricultural sector. A prototype is provided to illustrate the complex and dynamic nature of dragon fruit cultivation and consumption in Vietnam. Data on the selling prices of dragon fruit were collected from several sources between 2013 and 2022 in Binh Thuan Province, Vietnam. The results were obtained from the model by using three different approaches in order of their versatility and efficacy: (1) Scenario tree generation; (2) Sample average approximation; (3) Chance-constrained programming.
]]>Sustainability doi: 10.3390/su16062418
Authors: Jianbin Pan Tao Tao Tiantian Huang Yuyang Tang Nuo Xu Zihan Li Zihui Tang Xiaoyu Chen
The Great Wall is a world-renowned cultural heritage site and a national key protected cultural relic in China. The plants on the top surface of the Great Wall heritage site are one of the factors leading to the occurrence and continuous deterioration of the Great Wall. Therefore, there is ongoing academic controversy on how to scientifically dispose of the plants on the top surface of the Great Wall heritage site. Taking Beijing Dazhuangke Great Wall as an example, the preliminary field research was completed. This paper further describes the key technology for the disposal of remaining roots after removing the ground part of the plants from the top surface of the Great Wall heritage site and clarifies the basic idea of using the original covered soil on the top surface of the Great Wall heritage site, back-filling the original covered soil stripped via reparation of the layers and the regenerated plants in a seed bank to create ‘soft capping’ protection. This study provides a basic framework for ‘soft capping’ on the top surface of the Great Wall heritage site and construction of the cultural landscape of the ‘Garden on the Great Wall’.
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