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Sustainable Planning and Preparedness for Emergency Disasters
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Sustainable Planning and Preparedness for Emergency Disasters

A special issue of Sustainability (ISSN 2071-1050).

Deadline for manuscript submissions: closed (31 July 2023) | Viewed by 45241

Special Issue Editors

Prof. Dr. Gyu Min Lee

E-Mail Website
Guest Editor
Department of Industrial Engineering, Pusan National University, Busan, Korea
Interests: operations research; combinatorial optimization; logistics; disaster management
Dr. Ivan Kristianto Singgih

E-Mail Website
Guest Editor
Department of Industrial Engineering, University of Surabaya, Surabaya, Indonesia
Interests: logistics; production systems; smart systems; machine learning

Special Issue Information

Dear Colleagues,

Recently, the number and scale of natural or manmade disasters have increased, leading to significant casualties, and enormous economic losses [1]. Disaster is any occurrence that causes damage, ecological disruption, human life or economic loss. These disasters (earthquake, flood, tsunami, contagious disease like COVID-19, terrors, nuclear disasters, explosions, disruptions in our production systems, etc.) get increasingly complicated as natural and manmade disasters have recently been interacting with one another [2]. It is necessary to address sustainable planning and preparedness for emergency disasters to avoid serious consequences in our assets and lives [3].

Disaster management is described as a process composed of four stages: mitigation, preparation, response, and reconstruction. Without planning and preparing properly against the potential disaster occurrences, our lives and society cannot be sustainable and prosperous [4].

The aims of this Special Issue are: (1) to present and concentrate on the challenges in sustainable planning and preparedness for emergency disasters including but not limited to disaster relief, robust models, sustainable systems, system disruption, problem solving approaches, resource management, simulations, and system modeling, and (2) to provide a forum for researchers to discuss the latest progress, new research methodologies, and potential research topics in the field of disaster management.

References:

  1. Gu, J., Zhou, Y., Das, A., Moon, I., and Lee, G.M., Medical relief shelter location problem with patient severity under a limited relief budget, Computers & Industrial Engineering, 2018, 31, No. 8, pp 720–728.
  2. Amir, M.I.H., Rosyidah, F.A., and Lee, G.M., A formal model of the agent-based simulation for the emergency evacuation planning, International Journal of Industrial Engineering: Theory, Applications and Practice, 2020, Vol 27, No. 4, pp 645-664.
  3. Peng, P., Snyder, L.V., Lim, A., and Liu, Z., Reliable logistics networks design with facility disruptions, Transportation Research Part B, 2011, 45, 8, pp 1190–1211.
  4. Akbari, V., and Salman, F.S., Multi-vehicle synchronized arc routing problem to restore post-disaster network connectivity, European Journal of Operational Research, 2017, 257, No. 2, pp 625-640.

Prof. Dr. Gyu Min Lee
Dr. Ivan Kristianto Singgih
Guest Editors

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Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2400 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • sustainable planning
  • ecological disruption
  • system modeling
  • disaster management
  • sustainable society

Published Papers (17 papers)

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21 pages, 8078 KiB  
Article
Individual Behavior and Attention Distribution during Wayfinding for Emergency Shelter: An Eye-Tracking Study
by Yixuan Wei, Jianguo Liu, Longzhe Jin, Shu Wang, Fei Deng, Shengnan Ou, Song Pan and Jinshun Wu
Sustainability 2023, 15(15), 11880; https://0-doi-org.brum.beds.ac.uk/10.3390/su151511880 - 02 Aug 2023
Cited by 1 | Viewed by 969
Abstract
A fast evacuation from buildings to emergency shelters is necessary and important after the occurrence of a disaster. We investigated the variations in physical behaviors and cognition processes while finding emergency shelter. The on-site emergency-shelter-finding experiments were conducted in Beijing, China. Participants performed [...] Read more.
A fast evacuation from buildings to emergency shelters is necessary and important after the occurrence of a disaster. We investigated the variations in physical behaviors and cognition processes while finding emergency shelter. The on-site emergency-shelter-finding experiments were conducted in Beijing, China. Participants performed the task by using a wearable eye-tracking device. We aimed to assess three eye metrics: fixation counts, mean fixation duration, and visual attention index, to perform cognitive searching analysis for the environmental elements. The results showed that most people spend more fixation time on digital maps (297.77 ± 195.90 ms) and road conditions (239.43 ± 114.91 ms) than signs (150.90 ± 81.70 ms), buildings (153.44 ± 41.15 ms), and plants (170.11 ± 47.60 ms). Furthermore, most participants exhibit hesitation and retracing behaviors throughout the wayfinding process. The participants with relatively rich disaster experience and a proactive personality exhibit better performance in the shelter-finding task, such as a shorter retracing distance (p = 0.007) and nearer destination (p = 0.037). Eye metrics, together with the questionnaire, can mirror the complexity and heterogeneity of evacuation behavior during emergency shelter-finding. In addition, this also provides insights for the optimization of guidance sign systems and improvements in emergency management. Full article
(This article belongs to the Special Issue Sustainable Planning and Preparedness for Emergency Disasters)
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19 pages, 1669 KiB  
Article
Global Collaboration in Technology Sectors during the COVID-19 Pandemic: A Patent Review
by Eunsook Jeon, Kyungkook Kim, Hyunjeong Park and Keuntae Cho
Sustainability 2023, 15(15), 11831; https://0-doi-org.brum.beds.ac.uk/10.3390/su151511831 - 01 Aug 2023
Cited by 1 | Viewed by 1506
Abstract
This study aims to identify the international technology trends and convergence structures that emerged during the coronavirus disease (COVID-19) pandemic by analyzing COVID-19-related patents. Accordingly, network analysis was performed using data drawn from COVID-19-related patent applications submitted to the World Intellectual Property Organization [...] Read more.
This study aims to identify the international technology trends and convergence structures that emerged during the coronavirus disease (COVID-19) pandemic by analyzing COVID-19-related patents. Accordingly, network analysis was performed using data drawn from COVID-19-related patent applications submitted to the World Intellectual Property Organization (WIPO) between 2020 and 2022. The results showed that patent applications were submitted in 21 countries, with 97% of all applications coming from the intellectual property 5 (IP5) countries (US, Korea, China, Japan, and Europe). Technology convergence has occurred between the fields of physics and biology or between different biotechnology sectors. Owing to the nature of government-initiated development processes, technologies related to infectious diseases may exhibit a correlation between national patents and disease control policies. This study is significant since it empirically analyzes the convergence structure and development direction of global technologies engaged in overcoming the COVID-19 pandemic by analyzing new patent applications after the COVID-19 outbreak. The findings of this study will help to establish new directions for overcoming other infectious diseases that may emerge in the future. Full article
(This article belongs to the Special Issue Sustainable Planning and Preparedness for Emergency Disasters)
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34 pages, 2063 KiB  
Article
Innovative Blockchain-Based Tracking Systems, A Technology Acceptance for Cross-Border Runners during and Post-Pandemic
by Heru Susanto and Nurul Kemaluddin
Sustainability 2023, 15(8), 6519; https://0-doi-org.brum.beds.ac.uk/10.3390/su15086519 - 12 Apr 2023
Viewed by 2844
Abstract
This study aims to design and implement an online blockchain-based and real-time parcel monitoring and tracking system for cross-border runners and the customer via an online platform, during and post the COVID-19 pandemic. A blockchain is a distributed ledger system that serves as [...] Read more.
This study aims to design and implement an online blockchain-based and real-time parcel monitoring and tracking system for cross-border runners and the customer via an online platform, during and post the COVID-19 pandemic. A blockchain is a distributed ledger system that serves as a transparent, understandable, and trustworthy store of data and analysis on the platform for participants to engage with each other. The result of proposing a blockchain-based tracking system is promising. The result and UAT show positive feedback on the use and features of the blockchain-based tracking system. As the world reacted to the pandemic, many organizations provided monitoring with their deliveries, which is a terrific method for businesses to prevent losing valuable customers. According to the findings of the study, organizations prefer to have blockchain-based tracking systems. Full article
(This article belongs to the Special Issue Sustainable Planning and Preparedness for Emergency Disasters)
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33 pages, 14322 KiB  
Article
Scenario-Based Multi-Objective Location-Routing Model for Pre-Disaster Planning: A Philippine Case Study
by Maria Rossana D. de Veluz, Anak Agung Ngurah Perwira Redi, Renato R. Maaliw III, Satria Fadil Persada, Yogi Tri Prasetyo and Michael Nayat Young
Sustainability 2023, 15(6), 4882; https://0-doi-org.brum.beds.ac.uk/10.3390/su15064882 - 09 Mar 2023
Cited by 1 | Viewed by 2306
Abstract
The demand for humanitarian supply chains grows daily as the incidence of calamities rises. Typhoons cause thousands of casualties each year. As a result, policymakers and governmental authorities must develop effective readiness and response measures as part of pre-disaster plans. This paper proposed [...] Read more.
The demand for humanitarian supply chains grows daily as the incidence of calamities rises. Typhoons cause thousands of casualties each year. As a result, policymakers and governmental authorities must develop effective readiness and response measures as part of pre-disaster plans. This paper proposed a stochastic model for multi-objective location-routing for creating a humanitarian network for pre-disaster response. The model aims to minimize the overall costs of the network’s setup, the time required to travel through it, and the number of vehicles necessary for transferring affected individuals to evacuation centers. The model concentrates on pre-disaster scenarios in uncertainty. The provided model was implemented in an actual scenario in one of the Philippines’ provinces and solved using Multi-Objective Particle Swarm Optimization (MOPSO), which is also contrasted with Multi-Objective Simulated Annealing (MOSA) and the ε-constraint approach. According to empirical findings, the model can be used to identify distribution hubs and evacuation centers and choose the best routes in unexpected and actual disaster scenarios. Given that the ideal number, location, and capacity of DCs and ECs are known in advance, government decision-makers can solve any potential shortages and problems during the disaster. Full article
(This article belongs to the Special Issue Sustainable Planning and Preparedness for Emergency Disasters)
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26 pages, 15361 KiB  
Article
Geographic Information System Based Suitable Temporary Shelter Location for Mount Merapi Eruption
by Slamet Setio Wigati, Bertha Maya Sopha, Anna Maria Sri Asih and Heri Sutanta
Sustainability 2023, 15(3), 2073; https://0-doi-org.brum.beds.ac.uk/10.3390/su15032073 - 21 Jan 2023
Cited by 3 | Viewed by 1613
Abstract
Merapi is an active volcano in the Sleman District with eruptions occurring periodically. However, the time and the power of the eruptions of Merapi could not be predicted accurately. Therefore, considering the dense population around the peak of Mount Merapi, appropriate and fast [...] Read more.
Merapi is an active volcano in the Sleman District with eruptions occurring periodically. However, the time and the power of the eruptions of Merapi could not be predicted accurately. Therefore, considering the dense population around the peak of Mount Merapi, appropriate and fast handling is needed when an eruption occurs. One of the crucial parts to be handled is the availability of evacuation places for the affected population. Even though Sleman district already has contingency and evacuation plans, the existing contingency and evacuation plans cannot necessarily be implemented, as in the case of the 2010 eruption. The locations planned as the shelters based on the contingency and evacuation plans of 2009 are no longer safe, including the permanent shelters owned by Sleman Regency. Thus, in the 2010 eruption, the refugees had to be evacuated to other safe places. Hence, some additional locations planned to be temporary refuges or shelters are needed to anticipate the change in eruption patterns in the future. This paper aims to provide a model to determine suitable temporary shelter locations that meet several criteria, which include constraints (exclusionary criteria) and factors (evaluation criteria). The criteria in this study were defined based on a literature review, interviews, and a questionnaire survey on experts who have experience in the field of disasters, especially in the eruption of Mount Merapi. Constraint criteria are used to determine the candidates for shelters, i.e., the locations that are possible to be used as shelters. Potential shelters will be selected from the candidates that meet the factor criteria using geographic information system (GIS), fuzzy logic, multi-criteria decision making (analytical hierarchy process (AHP), and weighted linear combination (WLC)). The implementation of the model in the 2010 eruption case shows that the refugees experienced moving to a safe place three times during the evacuation, within a safe radius of 10, 15, and 20 km due to the increase in the power of the eruption. In this paper, therefore, the potential temporary shelters will be designed at a safe radius of 10, 15, and 20 km. For further research, the potential shelters determined can be used as input in determining the optimal shelter locations by developing an optimization model. Full article
(This article belongs to the Special Issue Sustainable Planning and Preparedness for Emergency Disasters)
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27 pages, 5246 KiB  
Article
Evaluating the Interdependencies of Infrastructure Critical Systems during Earthquake Event: A Case Study for Padang City
by Fuad Dellany Shubandrio, Ahmad Mohamad El-Maissi, Moustafa Moufid Kassem, Masrilayanti Masrilayanti, Siti Rahyla Rahmat and Fadzli Mohamed Nazri
Sustainability 2022, 14(23), 15926; https://0-doi-org.brum.beds.ac.uk/10.3390/su142315926 - 29 Nov 2022
Cited by 3 | Viewed by 1466
Abstract
Our modern society is becoming increasingly reliant on transportation networks, as well as the interdependent infrastructures and technologies that interact with them. The increasing complexity and interconnectedness of infrastructure networks make them susceptible to impact not only directly from external shocks but also [...] Read more.
Our modern society is becoming increasingly reliant on transportation networks, as well as the interdependent infrastructures and technologies that interact with them. The increasing complexity and interconnectedness of infrastructure networks make them susceptible to impact not only directly from external shocks but also indirectly from the failure of dependent infrastructures. This research study was conducted in Padang city, one of the most disaster-prone areas in Indonesia. Based on the literature review, it is no doubt that research study on seismic risk assessment is insufficient and outdated. In fact, a study about the interdependency between Critical Infrastructures (CIs) is yet to be done in this region. In this study, there are two approaches used for data gathering which is by surveying existing CIs using Google Earth and by an online questionnaire survey via Google Form. Based on the qualitative survey, a functionality rating method is done to obtain the level of outage/loss functionality which is an indicator for the damage occurred to the structure and infrastructure. Following that, a seismic risk analysis was conducted to assess the interdependency between investigated CIs and facilities. Respondents’ judgement from the questionnaire were used to identify the base criticality of each critical infrastructure. Based on the qualitative survey, the level of loss in functionality for the substation and the telecommunication tower is rated as “High”, but the loss in functionality for the water supply system is rated as “Moderate”. Moreover, the findings used from the respondents’ judgements were used to establish the initial level of criticality for each vital infrastructure. According to the findings, hospitals, power substations, and communication towers all have a criticality level of “5-Vital”, while police stations and fire stations both have a “3-medium” criticality rating. Eventually, the results of this assessment of interdependence are displayed in a criticality map, which shows how the interdependency relationship affects the initial criticality of a certain upstream infrastructure. Understanding the potential consequences of infrastructure failure, especially in regard to dependent infrastructures, can help emergency response teams formulate more targeted strategies for managing risks. As a consequence of this, the resilience of the wider community is improved, which contributes toward the implementation of Sustainable Development Goal (SDG) 11: Sustainable cities and communities particularly in reducing disasters and people in vulnerable situation. Full article
(This article belongs to the Special Issue Sustainable Planning and Preparedness for Emergency Disasters)
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25 pages, 6240 KiB  
Article
Evaluation and Optimization of Refuge Green Space in the Central Area of Tianjin for Geological Disasters
by Yilun Cao, Yuhan Guo, Chang Wang and Yunyuan Li
Sustainability 2022, 14(23), 15507; https://0-doi-org.brum.beds.ac.uk/10.3390/su142315507 - 22 Nov 2022
Cited by 2 | Viewed by 1538
Abstract
Refuge Green Space (RGS) plays roles in both rapid evacuation and short-term resettlement in response to sudden natural hazards, especially geological disasters. As a result, its evaluation and location optimization are crucial for the development of sustainable cities. In this study, the Three-Step [...] Read more.
Refuge Green Space (RGS) plays roles in both rapid evacuation and short-term resettlement in response to sudden natural hazards, especially geological disasters. As a result, its evaluation and location optimization are crucial for the development of sustainable cities. In this study, the Three-Step Floating Catchment Area Method (3SFCA) and Moran’s I index were used as measurement models. The rapid evacuation and short-term resettlement capacity of RGS were evaluated by calculating accessibility with 5, 10, 15 and 30 min of walking. The purpose of this study was to quantitatively evaluate the supply capacity of RGS in the central area of Tianjin and to provide recommendations for future additions to RGS. The results show that over 80% of the research area exhibited relatively poor service capacity within a 5–10 min walking distance, while less than 20% exhibited relatively good service capacity. Within a 15–30 min walking distance, approximately 60% of the study area was not well served by the RGS, while approximately 40% was well served. In conclusion, the layout of RGS in the central area of Tianjin exhibits unevenness and polarization of phenomena, and the supply of different categories of RGS varies widely. There is an insufficient supply of Emergency Sheltered Green Space and Temporary Sheltered Green Space, and that which is available is difficult to reach within 5–10 min. The coverage capacity of Disaster Prevention Park Space is relatively good, essentially covering the entire study area within a 15–30 min walking distance; however, the service capacity is average. Based on these conclusions, areas in which the RGS supply was weak were identified, and future potential RGS additions were identified in conjunction with the Green Space System Plan. Full article
(This article belongs to the Special Issue Sustainable Planning and Preparedness for Emergency Disasters)
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21 pages, 2842 KiB  
Article
Direct-Use Geothermal Energy Location Multi-Criteria Planning for On-Site Energy Security in Emergencies: A Case Study of Malaysia
by Minh-Tai Le, Nhat-Luong Nhieu and Thuy-Duong Thi Pham
Sustainability 2022, 14(22), 15132; https://0-doi-org.brum.beds.ac.uk/10.3390/su142215132 - 15 Nov 2022
Cited by 6 | Viewed by 2167
Abstract
Geothermal potential is a significant advantage in terms of renewable energy for countries located on the Pacific Ring of Fire. Studies on geothermal energy sources show that Malaysia is one of the countries possessing this inexhaustible and stable energy source. This on-site energy [...] Read more.
Geothermal potential is a significant advantage in terms of renewable energy for countries located on the Pacific Ring of Fire. Studies on geothermal energy sources show that Malaysia is one of the countries possessing this inexhaustible and stable energy source. This on-site energy source is a promising solution to the problem of energy security during emergencies where the energy supply chain is disrupted. To exploit this advantage, this study proposes a novel tri-layer framework to prioritize locations for direct-use geothermal energy location (DGL) in Malaysia. First, the proposed locations are screened for feasibility to limit the impact on other natural conservation areas and stable residential areas. In the second layer, locations are evaluated for efficiency using the data envelopment analysis (DEA) model based on quantitative indicators. In the third layer, the spherical fuzzy extended combination of the analytic hierarchy process (SF AHP) and the combined compromise solution (SF CoCoSo) methods are introduced and applied to prioritize high-efficiency locations. According to the findings, costs, social acceptance, and noise impacts are the qualitative criteria of most concern for DGLs. Through the tri-layer framework, the suggested concordant locations for DGLs in Malaysia are Marudi of Sarawak, Tawau of Sabah, Serian of Sarawak, and Jeram of Selangor. Full article
(This article belongs to the Special Issue Sustainable Planning and Preparedness for Emergency Disasters)
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18 pages, 4208 KiB  
Article
ERSDMM: A Standard Digitalization Modeling Method for Emergency Response Based on Knowledge Graph
by Wenling Liu, Yuexiang Yang, Xinyu Tu and Wan Wang
Sustainability 2022, 14(22), 14975; https://0-doi-org.brum.beds.ac.uk/10.3390/su142214975 - 12 Nov 2022
Cited by 2 | Viewed by 1425
Abstract
Standard digitalization is a crucial step in social and economic development and the transformation of digital technology. Standard digitalization is of great significance in the promotion of sustainable economic and social development. This paper proposes a standard digitalization modeling method for emergency response [...] Read more.
Standard digitalization is a crucial step in social and economic development and the transformation of digital technology. Standard digitalization is of great significance in the promotion of sustainable economic and social development. This paper proposes a standard digitalization modeling method for emergency response (ERSDMM) based on knowledge graph (KG). Firstly, this paper analyzes the knowledge structure of emergency response standards (ERS) and constructs a “seven-dimensional” model of ERS based on the public safety triangle theory. An ontology model of the emergency response domain is then created. Secondly, ERS and emergency scenario fine-grained knowledge are extracted. Thirdly, a standard reorganization model is constructed to meet the needs of the scenario response. Finally, the ERSDMM is applied to the GB 21734-2008, which proves that the ERSDMM is available. Taking RES as an example, this paper explores the path and practice of standard digitalization. ERSDMM solves standards-related problems, such as overlapping content, coarse knowledge granularity, incomplete coverage of elements, and difficulty in acquiring knowledge. Full article
(This article belongs to the Special Issue Sustainable Planning and Preparedness for Emergency Disasters)
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21 pages, 1282 KiB  
Article
Modeling Impacts of COVID-19 in Supply Chain Activities: A Grey-DEMATEL Approach
by Koppiahraj Karuppiah, Bathrinath Sankaranarayanan and Syed Mithun Ali
Sustainability 2022, 14(21), 14141; https://0-doi-org.brum.beds.ac.uk/10.3390/su142114141 - 29 Oct 2022
Cited by 6 | Viewed by 1696
Abstract
The purpose of this study was to identify and exhibit the interrelationships among COVID-19’s impacts on supply chain activities. Based on a literature review and the manager’s input, twenty COVID-19 impacts were collected. An integrated approach of exploratory factor analysis (EFA) and grey-decision-making [...] Read more.
The purpose of this study was to identify and exhibit the interrelationships among COVID-19’s impacts on supply chain activities. Based on a literature review and the manager’s input, twenty COVID-19 impacts were collected. An integrated approach of exploratory factor analysis (EFA) and grey-decision-making trial and evaluation laboratory (G-DEMATEL) was used to reveal the causal interrelationships among the COVID-19 impacts. Initially, a questionnaire survey was administered among 220 respondents for EFA. Based on the outcome of EFA, the twenty COVID-19 impacts were categorized into seven critical areas. Then, based on the experts’ inputs, G-DEMATEL was utilized to reveal the causal interrelationships among various COVID-19 impacts. The results indicate that disruption management, relationship management, and production management are the top three critical areas that need to be addressed in the COVID-19 crisis. Disruption in supply, ripple effect on supply chain operations, and obsolescence of machines were found to be the most influential impacts while disproportionateness between supply and demand, difficulty in demand forecasting, and reduced cash inflow were found to be the most influenced impacts. This study’s outcomes will help policymakers and supply chain managers develop strategies to restructure supply chain networks. This study is an original contribution to the analysis of COVID-19 impacts in the supply chain activities in India due to the use of EFA and G-DEMATEL. This study considers India only, and hence, the outcomes lack generalizability. A study considering multiple developing countries could generalize these findings. Full article
(This article belongs to the Special Issue Sustainable Planning and Preparedness for Emergency Disasters)
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27 pages, 9916 KiB  
Article
An Integrated Framework for the Quantification of Road Network Seismic Vulnerability and Accessibility to Critical Services
by Ahmad Mohamad El-Maissi, Sotirios A. Argyroudis, Moustafa Moufid Kassem, Lee Vien Leong and Fadzli Mohamed Nazri
Sustainability 2022, 14(19), 12474; https://0-doi-org.brum.beds.ac.uk/10.3390/su141912474 - 30 Sep 2022
Cited by 9 | Viewed by 1859
Abstract
Road networks are regarded as the backbone of transportation systems, which play an important role in the social and economic prosperity of societies. Due to this reason, it is crucial to develop road networks with higher resiliency rates to operate normally during earthquake [...] Read more.
Road networks are regarded as the backbone of transportation systems, which play an important role in the social and economic prosperity of societies. Due to this reason, it is crucial to develop road networks with higher resiliency rates to operate normally during earthquake incidents. In the last decades, the research that tackled the management of disasters for road networks gained great attention, in particular by developing various seismic vulnerability assessment models. Most of those models study a single criterion, e.g., physical damage of road assets, traffic disruption, and/or functionality loss of the network without taking into consideration the combination of different vulnerability criteria. The proposed framework is part of the global seismic vulnerability assessment models that combine fragility functions and vulnerability indices, which is demonstrated by an application in a road network in the city of Penang in Malaysia. In the first step, the fragility functions are developed where their results are used to calculate the Seismic Vulnerability Index (SVI) for roadways by weighting the main investigated parameters. This is followed by investigating the Accessibility Index (AI) model that is employed to assess the accessibility of targeted districts within the investigated area. Subsequently, an integrated approach is employed to generate the emergency evacuation maps to critical service centres by referring to the correlations between vulnerability and the accessibility rates. In conclusion, the results of this study integrate engineering judgment and numerical models to create a comparative study for assessing the performance of road networks and to validate the significance of an integrated seismic assessment on various critical societal sectors, such as improving emergency accessibility and implementing better mitigation strategies for communities living in disaster-prone areas. Full article
(This article belongs to the Special Issue Sustainable Planning and Preparedness for Emergency Disasters)
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18 pages, 1137 KiB  
Article
Study on the Impact of Supply Chain Dynamic Capabilities on Long-Term Performance of Enterprises
by Borui Yan, Bo Yao, Qian Li and Qianli Dong
Sustainability 2022, 14(19), 12441; https://0-doi-org.brum.beds.ac.uk/10.3390/su141912441 - 29 Sep 2022
Cited by 1 | Viewed by 1597
Abstract
The risk of frequent disasters is becoming a huge challenge for enterprises and their supply chains. In particular, sudden global public health events have brought a great test to the supply chain. How to make sustainable planning and preparedness and smoothly carry out [...] Read more.
The risk of frequent disasters is becoming a huge challenge for enterprises and their supply chains. In particular, sudden global public health events have brought a great test to the supply chain. How to make sustainable planning and preparedness and smoothly carry out supply chain operations and obtain sustainable firm performance in the complex market environment requires urgent attention from industries and academia. The different effects of supply chain operational capability and dynamic capability on the long-term performance and short-term performance of enterprises are still unclear; therefore, a model was established to discuss this. Based on the theory of dynamic capability, a relational model between supply chain dynamic capability, supply chain operational capability, and firm performance was constructed, a hypothesis testing method and Amos software were used to verify the set model, and the mechanisms of supply chain dynamic capability and supply chain operational capability on firm performance were discussed. The empirical results show that supply chain operational capability has a mediating effect on supply chain dynamic capability and firm performance, and supply chain dynamic capability has a moderating impact on supply chain operational capability and firm performance. The supply chain and its enterprises should cultivate and continuously improve the supply chain dynamic capability as soon as possible, so that in the face of emergencies, the supply chain operation capability can be reasonably configured to avoid damage, improve firm performance, and gain competitive advantages. Full article
(This article belongs to the Special Issue Sustainable Planning and Preparedness for Emergency Disasters)
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25 pages, 1724 KiB  
Article
Collaborative Hybrid Aerial and Ground Vehicle Routing for Post-Disaster Assessment
by Anak Agung Ngurah Perwira Redi, Bertha Maya Sopha, Anna Maria Sri Asih and Rahmad Inca Liperda
Sustainability 2021, 13(22), 12841; https://0-doi-org.brum.beds.ac.uk/10.3390/su132212841 - 19 Nov 2021
Cited by 6 | Viewed by 2002
Abstract
Hybrid aerial and ground vehicles are seen as a promising option for deployment in a post-disaster assessment due to the risk of infrastructure damage that may hinder the assessment operation. The efficient operation of the hybrid aerial and ground vehicle, particularly routings, remains [...] Read more.
Hybrid aerial and ground vehicles are seen as a promising option for deployment in a post-disaster assessment due to the risk of infrastructure damage that may hinder the assessment operation. The efficient operation of the hybrid aerial and ground vehicle, particularly routings, remains a challenge. The present study proposed a collaborative hybrid aerial and ground vehicle to support the operation of post-disaster assessment. The study developed two models, i.e., the Two-Echelon Vehicle Routing Problem combined with Assignment (2EVRPA) and the Two-Echelon Collaborative Vehicle Routing Problem (2ECoVRP) to evaluate optimal routings for both aerial and ground vehicles. The difference lies in the second echelon in which the 2EVRPA uses a single point-to-point assignment, whereas the 2ECoVRP considers the collaborative routings between the ground vehicle and the aerial vehicle. To demonstrate its applicability, the developed models were applied to solve the post-disaster assessment for the Mount Merapi eruption in Yogyakarta, Indonesia. Sets of numerical experiments based on the empirical case were conducted. The findings indicate that the 2ECoVRP performs better than 2EVRPA in terms of the total operation time. The tabu search algorithm was found to be a promising method to solve the models due to its good quality solution and computational efficiency. The deployment of eight drones appears to be optimum for the given network configuration of the studied case. Flight altitude and battery capacity were found to be influential to the operation time, hence requiring further exploration. Other potential avenues for future research are also discussed. Full article
(This article belongs to the Special Issue Sustainable Planning and Preparedness for Emergency Disasters)
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25 pages, 12639 KiB  
Article
COVID-19 Challenges: Can Industry 4.0 Technologies Help with Business Continuity?
by Amjad Hussain, Muhammad Umar Farooq, Muhammad Salman Habib, Tariq Masood and Catalin I. Pruncu
Sustainability 2021, 13(21), 11971; https://0-doi-org.brum.beds.ac.uk/10.3390/su132111971 - 29 Oct 2021
Cited by 20 | Viewed by 4790
Abstract
The COVID-19 pandemic has halted economic activities and made business dynamics much more challenging by introducing several additional operational, structural, and managerial constraints. The problem has affected global supply chains in many ways, and has questioned their long-term continuity. On the other hand, [...] Read more.
The COVID-19 pandemic has halted economic activities and made business dynamics much more challenging by introducing several additional operational, structural, and managerial constraints. The problem has affected global supply chains in many ways, and has questioned their long-term continuity. On the other hand, Industry 4.0 is an emerging phenomenon. However, there is a need to investigate how Industry 4.0 technologies may play a potential role in sustaining business operations to ease unprecedented causalities. The current research aims to investigate the potentiality of Industry 4.0 technologies to solve the COVID-19 challenges for long term sustainability. From an exploratory literature analysis coupled with the Delphi method, keeping in view the situation of the pandemic, ten challenge groups that have affected global business dynamics were identified. A questionnaire was developed with the aim of accumulating industrial and academic experts to evaluate the degree of influence and interrelationship among the identified challenges. The Decision Making, Trial and Evaluation Laboratory (DEMATEL) approach was deployed to further analyze the challenges for the categorization of these into causes and effects, further prioritizing them for better decision making. The prioritized challenges from the list of causes were governmental policies and support, followed by real access to customers and a lack of infrastructure. Additionally, these challenges were further evaluated through the expert opinion of Industry 4.0 systems experts and strategic-level supply chain experts to potentially gauge the potency of Industry 4.0 technologies to solve COVID-19-induced challenges. The outcomes of this research (which used Delphi integrated with a DEMATEL approach) are expected to support businesses in formulating strategies with the aim of business continuity in combating future disruptions caused by COVID-19-like pandemics. Full article
(This article belongs to the Special Issue Sustainable Planning and Preparedness for Emergency Disasters)
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36 pages, 1136 KiB  
Review
Risk Narrative of Emergency and Disaster Management, Preparedness, and Planning (EDMPP): The Importance of the ‘Social’
by Brielle Lillywhite and Gregor Wolbring
Sustainability 2023, 15(1), 387; https://0-doi-org.brum.beds.ac.uk/10.3390/su15010387 - 26 Dec 2022
Cited by 7 | Viewed by 3737
Abstract
Risk perception, literacy, communication, narrative, governance, and education are important aspects of emergency and disaster management, preparedness, and planning (EDMPP) as they for example influence and direct EDMPP policies and actions. A thorough understanding of the ‘social aspects of risk is important for [...] Read more.
Risk perception, literacy, communication, narrative, governance, and education are important aspects of emergency and disaster management, preparedness, and planning (EDMPP) as they for example influence and direct EDMPP policies and actions. A thorough understanding of the ‘social aspects of risk is important for EDMPP, especially in relation to marginalized populations who are often overlooked. Technologies are increasingly employed for EDMPP. How these technology applications identify and engage with the ‘social’ of risk in general and the ‘social’ of risk experienced by marginalized populations is important for EDMPP. Equity, diversity, and inclusion (EDI) and similar phrases are employed as policy concepts to improve research, education, and participation in the workplace for marginalized groups such as women, Indigenous peoples, visible/racialized minorities, disabled people, and LGBTQ2S including in workplaces engaging with EDMPP which includes universities. The aim of this scoping review was to generate data that allows for a detailed understanding of the risk related discussions within the EDMPP academic literature as these discussions shape EDMPP policies and actions. The objective of this scoping review study was to map out the engagement with risk, specifically the social aspects of risk, in the EDMPP-focused academic literature with a focus on (a) EDMPP in general, (b) COVID-19, (c) EDMPP and marginalized groups, (d) EDMPP and patients, and (e) EDMPP and technologies (artificial intelligence, machine learning, machine reasoning, algorithm design approaches such as Bayesian belief networks, e-coaching, decision support systems, virtual coaching, automated decision support, e-mentoring, automated dialogue and conversational agents). Using the academic databases SCOPUS, Web of Sciences, and databases accessible under Compendex and EBSCO-HOST and performing hit count frequency searches of online and downloaded abstracts and thematic analysis of downloaded abstracts the study reveals a lack of coverage on the social aspects of risk and engagement with risk concepts such as risk perception, risk governance, risk literacy, risk communication, risk education and risk narrative especially in conjunction with marginalized groups and technologies employed in EDMPP decision support. Our findings suggest many opportunities to further the EDMPP academic inquiry by filling the gaps. Full article
(This article belongs to the Special Issue Sustainable Planning and Preparedness for Emergency Disasters)
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50 pages, 504 KiB  
Review
Emergency and Disaster Management, Preparedness, and Planning (EDMPP) and the ‘Social’: A Scoping Review
by Brielle Lillywhite and Gregor Wolbring
Sustainability 2022, 14(20), 13519; https://0-doi-org.brum.beds.ac.uk/10.3390/su142013519 - 19 Oct 2022
Cited by 8 | Viewed by 8787
Abstract
The importance of emergency and disaster management, preparedness, and planning (EDMPP) is ever increasing with COVID-19 being one recent EDMPP challenge. EDMPP is impacted by and impacts the ‘social’ of individuals and societies. Therefore, a thorough understanding of the ‘social’ is important for [...] Read more.
The importance of emergency and disaster management, preparedness, and planning (EDMPP) is ever increasing with COVID-19 being one recent EDMPP challenge. EDMPP is impacted by and impacts the ‘social’ of individuals and societies. Therefore, a thorough understanding of the ‘social’ is important for providing EDMPP. Marginalized populations are over-proportionally impacted by emergencies and disasters and often overlooked in EDMPP. Therefore, it is especially important to understand the lived experience of marginalized groups and to involve marginalized groups in providing knowledge for EDMPP. Technologies such as artificial intelligence and machine learning and reasoning, e-coaching, other decision support systems and Bayesian belief networks are increasingly employed for EDMPP. However, biases and other problems in the use of technologies for EDMPP are noted. Understanding the ‘social’ of marginalized populations and others is essential for designing algorithms and other technologies that are not biased towards marginalized populations and others. The phrase “equity, diversity, and inclusion” (EDI), other EDI linked phrases, and EDI frameworks are increasingly employed in workplaces to improve research, education, and workplace environments for marginalized groups such as women, Indigenous Peoples, visible minorities, racialized minorities, disabled people, people with disabilities and LGBTQ2S+. EDMPP actors are workers. Using EDI in EDMPP could improve the EDMPP situation of marginalized groups by encouraging knowledge production by and about marginalized groups related to EDMPP. The main objective of this study was to map out the engagement with the ‘social’, EDI and marginalized groups in the EDMPP-focused academic literature in general and the EDMPP academic literature covering disabled people, patients, technologies and COVID-19. A scoping review using the academic databases SCOPUS, Web of Science, and the databases accessible under Compendex and EBSCO-HOST were employed to fulfill the objectives. The study found little coverage of marginalized populations and EDI phrases and frameworks, and a lack of many terms linked to the ‘social’ in the literature searched. These gaps need to be filled given the importance of EDMPP to the ‘social’ of individuals and societies. Full article
(This article belongs to the Special Issue Sustainable Planning and Preparedness for Emergency Disasters)
15 pages, 17566 KiB  
Review
Emergency Shelter Geospatial Location Optimization for Flood Disaster Condition: A Review
by Reza Asriandi Ekaputra, Changkye Lee, Seong-Hoon Kee and Jurng-Jae Yee
Sustainability 2022, 14(19), 12482; https://0-doi-org.brum.beds.ac.uk/10.3390/su141912482 - 30 Sep 2022
Cited by 4 | Viewed by 2096
Abstract
Today, the world is experiencing a tremendous catastrophic disaster that can lead to potential environmental damage. However, awareness of how to deal with this catastrophic situation still remains very low. One of the most critical issues in disaster response is assigning disaster victims [...] Read more.
Today, the world is experiencing a tremendous catastrophic disaster that can lead to potential environmental damage. However, awareness of how to deal with this catastrophic situation still remains very low. One of the most critical issues in disaster response is assigning disaster victims to the best emergency shelter location. This article reviews various existing studies to develop a new approach to determining emergency shelter locations. There are four evaluation criteria that are reviewed: optimization objective, decision variable, methodology, and victim identification. From the investigation, there are two major evaluations that can be further developed. In terms of decision variables, most of the previous research applies direct distance (Euclidean Distance) in the analysis process. However, the application of travel distance can represent a real evacuation process. Another interesting point is the victim identification process. Recent research applies grid-based partitioning and administrative-based partitioning. However, this method leads to a bias in the assignment process. This article recommends the application of K-Means clustering method as one of the unsupervised machine learning methods that is rapidly developing in many engineering fields. For better understanding, an example of K-Means clustering application is also provided in this article. Finally, the combination of travel distance and K-Means clustering will be proposed method for any further research. Full article
(This article belongs to the Special Issue Sustainable Planning and Preparedness for Emergency Disasters)
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