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Smart Infrastructure Management and Sustainable Urban Development

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

Deadline for manuscript submissions: 20 January 2026 | Viewed by 571

Special Issue Editor


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Guest Editor
Department of Architectural and Urban Systems Engineering, Ewha Womans University, Seoul 03760, Republic of Korea
Interests: smart built environment; infrastructure management; urban safety and disaster management
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

This Special Issue of Sustainability, titled “Smart Infrastructure Management and Sustainable Urban Development”, invites papers focusing on research that advances the safety, health, and overall quality of life for urban populations via sustainable, resilient, and intelligent built environments and urban development. As many cities are confronted with a myriad of challenges stemming from aging infrastructure, urban infrastructure often fails to meet present demands and is projected to struggle to meet future needs, which result from climate change, the adoption of new energy sources, and the emergence of new technologies. However, integrating smart technologies into infrastructure holds promise for the streamlining of operation and management, thus enhancing its performance in order to better serve society. Given this, we encourage submissions covering a broad spectrum of topics, including but not limited to ICT-based smart infrastructure monitoring and management, the construction of sustainable and resilient infrastructure, and urban development approaches that prioritize urban residents’ safety, health, and quality of life.

Prof. Dr. Sungjoo Hwang
Guest Editor

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 infrastructure
  • sustainable society and community
  • resilience
  • urban development
  • monitoring and control
  • ICTs
  • safety and health
  • quality of life
  • urban population

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Published Papers (1 paper)

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Research

15 pages, 2087 KB  
Article
XAI-Informed Comparative Safety Performance Assessment of Human-Driven Crashes and Automated Vehicle Failures
by Hyeonseo Kim, Sari Kim and Sehyun Tak
Sustainability 2025, 17(21), 9615; https://doi.org/10.3390/su17219615 (registering DOI) - 29 Oct 2025
Abstract
Current Automated Vehicle (AV) technologies still face challenges in operating safely across diverse road environments, as existing infrastructure is not yet fully adapted to AV-specific requirements. While many previous studies have relied on simulations, real-world data is crucial for accurately assessing AV safety [...] Read more.
Current Automated Vehicle (AV) technologies still face challenges in operating safely across diverse road environments, as existing infrastructure is not yet fully adapted to AV-specific requirements. While many previous studies have relied on simulations, real-world data is crucial for accurately assessing AV safety and understanding the impact of road characteristics. To address this gap, this study analyzes human-driven vehicle (HDV) crashes and AV failures using machine learning and explainable AI (XAI), providing insights into how road design can be improved to facilitate AV integration into existing infrastructure. Using XGBoost-based frequency modeling, the study achieved accuracy ranging from 0.6389 to 0.9770, depending on the specific model. The findings indicate that road geometry and traffic characteristics play a significant role in road safety, while the impact of road infrastructure varies across different road classifications. In particular, traffic characteristics were identified as key contributors to HDV crashes, whereas road geometry was the most critical factor in AV failures. By leveraging real-world AV failure data, this study overcomes the limitations of simulation-based research, improving the reliability of safety assessments. It provides a comprehensive evaluation of road safety across different road types and traffic flow conditions while simultaneously analyzing HDV crashes and AV failures. The findings offer critical insights into the challenges of mixed-traffic environments, where AVs and HDVs must coexist, highlighting the need for adaptive road design and infrastructure strategies to enhance safety for all road users. Full article
(This article belongs to the Special Issue Smart Infrastructure Management and Sustainable Urban Development)
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