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Sustainability
Special Issues
Smart Cities, Connected Communities, and Environmental Sustainability
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Smart Cities, Connected Communities, and Environmental Sustainability

A special issue of Sustainability (ISSN 2071-1050). This special issue belongs to the section "Sustainable Urban and Rural Development".

Deadline for manuscript submissions: closed (30 April 2022) | Viewed by 7292

Special Issue Editors

Dr. Jee Eun Kang

E-Mail Website
Guest Editor
Department of Industrial and Systems Engineering, 409 Bell Hall, University of Buffalo, Buffalo, NY 14260, USA
Interests: transportation modeling; applied operations research; shared and autonomous mobility services; alternative fuel technologies; data-driven decision-making
Dr. Roger Chen

E-Mail Website
Guest Editor
Department of Civil and Environmental Engineering, 337 Holmes Hall, 2540 Dole St., The University of Hawaii at Manoa, Honolulu, HI 96822, USA
Interests: smart cities; connected communities; transportation systems; environmental sustainability
Dr. Daniel Rodríguez Román

E-Mail Website
Guest Editor
Departamento de Ingeniería Civil y Agrimensura, Universidad de Puerto Rico, Mayagüez, PO Box 9000, PR 00682, USA
Interests: travel demand management; road pricing; environmental sustainability; transportation equity; network design

Special Issue Information

Dear Colleagues,

Cities and communities are witnessing profound changes as they enter a new era in which community members are increasingly connected with their surrounding built and natural environments, and with each other, through rapidly evolving intelligent technologies. These changes promise improved wellbeing and prosperity but pose significant challenges at the complex intersection of technology and society. The goal of this Special Issue is to contribute to the growing body of scientific and engineering work that will enable smart and connected communities to bring about new levels of economic opportunity and growth, safety and security, health and wellness, accessibility and inclusivity, and overall quality of life.

In this Special Issue, we invite submissions on the topic of Smart Cities, Connected Communities, and Environmental Sustainability to appear in the journal Sustainability. Specifically, we invite submissions contributing new, innovative models, analysis frameworks, supporting decision-making tools, policy studies on emerging technologies and their impacts on cities and communities, exploring household and consumer behaviors through data, and discussing lessons learned from real case studies.

The overarching theme of this Special Issue is Smart Cities, Connected Communities, and Environmental Sustainability which includes but is not limited to the following areas:

  • Equity and fairness implications of smart cities and connected communities;
  • Sustainable smart transportation systems and their mobility technologies, products, and services;
  • Alternative fuel vehicle technologies and energy systems modeling;
  • Community wellbeing related to socializing and connecting across virtual/real worlds;
  • Energy consumption and sustainability impacts of automation, deep-learning AI, and other technologies in smart cities;
  • Societal impacts of automation, deep-learning AI, and other technologies, including trust-worthiness and privacy;
  • Integrated modeling or urban systems under emerging technologies and services;
  • Modeling and analysis of emerging mobility technologies, products, and services;
  • Data-driven decision-making in sustainable systems modeling;
  • Application of emerging 3D data (e.g., lidar point clouds) toward constructing, visualizing, and modeling urban infrastructure for smart cities, including AVs, wayfinding, and other human activities.

Dr. Jee Eun Kang
Dr. Roger Chen
Dr. Daniel Rodríguez Román
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Sustainability is an international peer-reviewed open access semimonthly journal published by MDPI.

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

  • smart cities
  • connected communities
  • transportation systems
  • equity
  • trust
  • deep-learning AI
  • data-driven decision making
  • autonomous systems
  • point cloud visualization
  • energy systems

Published Papers (3 papers)

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Research

25 pages, 2733 KiB  
Article
Is Public–Private Partnership (PPP) a Preferred Strategy for Procuring Smart Infrastructure in Developed Countries: An Empirical Study of the Perceived Benefits, Barriers and Recommended Strategies
by Nimesha Sahani Jayasena, Daniel W. M. Chan and Mohan M. Kumaraswamy
Sustainability 2022, 14(11), 6421; https://0-doi-org.brum.beds.ac.uk/10.3390/su14116421 - 24 May 2022
Cited by 3 | Viewed by 2546
Abstract
Attention to Smart Infrastructure (SI) has risen due to its advantages, including better access, increased quality of life, and simplified maintenance management. To develop SI, Public–Private Partnerships (PPPs) are identified as potentially beneficial procurement strategies, which boost capacities to manage risks by pooling [...] Read more.
Attention to Smart Infrastructure (SI) has risen due to its advantages, including better access, increased quality of life, and simplified maintenance management. To develop SI, Public–Private Partnerships (PPPs) are identified as potentially beneficial procurement strategies, which boost capacities to manage risks by pooling diverse resources. However, the applicability of PPP in SI developments in developed countries is scarcely researched. This may be due to underestimating the other potential benefits from PPP, although developed countries may have their own funding to develop SI. Hence, this research aims to evaluate the significant factors influencing the success of PPP in SI projects in developed countries based on public-sector satisfaction (S1), private-sector satisfaction (S2), and end-user satisfaction (S3). A comprehensive literature review was followed by expert interviews and an international survey, focusing on developed countries. The Partial Least Squares Structural Equation Modeling (PLS-SEM) technique was applied to map the connections amongst the influencing factors and S1, S2, and S3. The results reveal that legal and political-related factors significantly impact on S2 and S3, while social barriers significantly impact on S1. The effect of the constructs and factors on S1, S2, and S3 along with their rankings are unveiled in this research paper, providing a sound basis to increase success levels and minimize shortfalls in PPP to boost SI developments in developed countries. Full article
(This article belongs to the Special Issue Smart Cities, Connected Communities, and Environmental Sustainability)
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16 pages, 632 KiB  
Article
Facilitating Smart City Development through Adaption of the Learnings from Enterprise Systems Integration
by Vahid Javidroozi, Hanifa Shah and Gerald Feldman
Sustainability 2022, 14(7), 3730; https://0-doi-org.brum.beds.ac.uk/10.3390/su14073730 - 22 Mar 2022
Cited by 3 | Viewed by 1579
Abstract
Cross-sectoral city systems integration is a necessity for Smart City Development (SCD) to provide real-time services to citizens. However, there is scant knowledge about integrating city systems, while the existing literature is replete with learnings on systems integration from private enterprises. Hence, the [...] Read more.
Cross-sectoral city systems integration is a necessity for Smart City Development (SCD) to provide real-time services to citizens. However, there is scant knowledge about integrating city systems, while the existing literature is replete with learnings on systems integration from private enterprises. Hence, the wisdom of Enterprise Systems Integration (ESI) can be utilised to integrate systems for SCD. Yet, there is limited knowledge on the association between these two contexts. This research aims to develop an innovative model, referred to as ‘AdaptModel’, that enables the adaption of the ESI learnings for SCD based on the differences and similarities between city and enterprise through qualitative research utilising literature analysis, semi-structured interviews, and document analysis. The findings show that the difference between cities and private enterprises from a systems integration viewpoint is in degree rather than in kind. Hence, using ESI learnings for the SCD context is valuable and informative, but it would be more complex, bureaucratic, time-consuming, and expensive. The research offers guidance in addressing the systems integration challenges associated with SCD based on interrelations between SCD and ESI; this is carried out by applying a novel approach of contextualising and modifying the ESI learnings to support cross-sectoral city systems integration. Full article
(This article belongs to the Special Issue Smart Cities, Connected Communities, and Environmental Sustainability)
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18 pages, 16259 KiB  
Article
Understanding the Heterogeneity of Human Mobility Patterns: User Characteristics and Modal Preferences
by Laiyun Wu, Samiul Hasan, Younshik Chung and Jee Eun Kang
Sustainability 2021, 13(24), 13921; https://doi.org/10.3390/su132413921 - 16 Dec 2021
Cited by 3 | Viewed by 2003
Abstract
Characterizing individual mobility is critical to understand urban dynamics and to develop high-resolution mobility models. Previously, large-scale trajectory datasets have been used to characterize universal mobility patterns. However, due to the limitations of the underlying datasets, these studies could not investigate how mobility [...] Read more.
Characterizing individual mobility is critical to understand urban dynamics and to develop high-resolution mobility models. Previously, large-scale trajectory datasets have been used to characterize universal mobility patterns. However, due to the limitations of the underlying datasets, these studies could not investigate how mobility patterns differ over user characteristics among demographic groups. In this study, we analyzed a large-scale Automatic Fare Collection (AFC) dataset of the transit system of Seoul, South Korea and investigated how mobility patterns vary over user characteristics and modal preferences. We identified users’ commuting locations and estimated the statistical distributions required to characterize their spatio-temporal mobility patterns. Our findings show the heterogeneity of mobility patterns across demographic user groups. This result will significantly impact future mobility models based on trajectory datasets. Full article
(This article belongs to the Special Issue Smart Cities, Connected Communities, and Environmental Sustainability)
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