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Resilient Infrastructure for Climate Action: The Nexus of Technology, Management, and Innovation

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

Deadline for manuscript submissions: 30 September 2026 | Viewed by 1951

Special Issue Editors

Dr. Yaning Qiao

E-Mail Website
Guest Editor
School of Mechanics & Civil Engineering, China University of Mining and Technology, Xuzhou, China
Interests: civil infrastructure resilience (resilience); sustainable development and carbon neutrality; digitalization and artificial intelligence; sponge cities; building information modeling (BIM)
Special Issues, Collections and Topics in MDPI journals
Dr. Davide Lo Presti

E-Mail Website
Co-Guest Editor
Department of Engineering, University of Palermo, Viale Delle Scienze, 90128 Palermo, Italy
Interests: sustainability; life cycle assessment; recycling; bitumen; asphalt; smart infrastructure; road pavements; railway trackbeds
Special Issues, Collections and Topics in MDPI journals
Dr. Nur Izzi Md Yusoff

E-Mail Website
Co-Guest Editor
Department of Civil Engineering, Faculty of Engineering and Built Environment, Universiti Kebangsaan Malaysia, 43600 UKM Bangi, Selangor, Malaysia
Interests: asphalt technology; green and sustainable materials; resilient infrastructure; artificial intelligence; net zero carbon; life cycle assessment
Special Issues, Collections and Topics in MDPI journals
Dr. Runhua Zhang

E-Mail Website
Co-Guest Editor
Civil and Environmental Engineering, University of Wisconsin-Madison, Madison, WI 53705, USA
Interests: modified asphalt; asphalt mixture; sustainable and innovative bituminous materials; pavement evaluation
Dr. Jin Guo

E-Mail Website
Co-Guest Editor
School of Mechanics and Civil Engineering, China University of Mining and Technology, Xuzhou 221116, China
Interests: transportation infrastructure construction management; artificial intelligence; big data

Special Issue Information

Dear Colleagues,

Climate change has become one of the greatest global challenges of the 21st century, with profound implications for infrastructure systems that support economic development, social well-being, and environmental sustainability. Achieving the United Nations’ Sustainable Development Goals, particularly Goal 13 on Climate Action, requires resilient infrastructure that can withstand climate-induced stresses and adapt to uncertain future conditions.

This Special Issue focuses on the nexus of technology, management, and innovation in advancing resilient infrastructure for climate action. We welcome contributions that address how innovative technical solutions, such as artificial intelligence and digital twins, can enhance infrastructure performance and resilience. Equally important are management innovations that enable risk-informed decision-making and multi-stakeholder collaboration, adopting automated and intelligent systems. We also encourage approaches integrating technical and managerial perspectives to provide scalable, cost-effective, and socially inclusive solutions for resilient infrastructure.

By bringing together interdisciplinary research, this Special Issue aims to foster knowledge exchange across engineering, management, and policy communities, offering actionable insights for sustainable infrastructure development. Ultimately, the goal is to contribute to global climate action through resilient infrastructure systems that not only mitigate risks but also create opportunities for green growth and social equity.

Dr. Yaning Qiao
Guest Editor

Dr. Davide Lo Presti
Dr. Nur Izzi Md Yusoff
Dr. Runhua Zhang
Dr. Jin Guo
Co-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 250 words) can be sent to the Editorial Office for assessment.

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

  • climate change
  • resilience
  • infrastructure
  • technology
  • management
  • innovation

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Further information on MDPI's Special Issue policies can be found here.

Published Papers (2 papers)

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Research

22 pages, 1041 KB  
Article
From Expectation to Experience: Understanding Public Acceptance of AI-Enabled Autonomous Shuttle Services in Seoul
by Xiaoyu Zhang, Luning Tong and Maowei Chen
Sustainability 2026, 18(10), 4649; https://doi.org/10.3390/su18104649 - 7 May 2026
Viewed by 532
Abstract
This study examines public acceptance of autonomous shuttle services in a real-world urban context by integrating expectation–experience dynamics, system characteristics, and configurational analysis. Based on survey data collected from users of Seoul’s self-driving shuttle operating along the Cheonggyecheon corridor (n = 566), a [...] Read more.
This study examines public acceptance of autonomous shuttle services in a real-world urban context by integrating expectation–experience dynamics, system characteristics, and configurational analysis. Based on survey data collected from users of Seoul’s self-driving shuttle operating along the Cheonggyecheon corridor (n = 566), a mixed-method approach combining structural equation modeling (SEM) and fuzzy-set qualitative comparative analysis (fsQCA) is employed. The results confirm that pre-use expectations significantly shape post-use experiences, supporting the expectation–confirmation framework. Notably, perceived autonomy exhibits a significant negative effect on user attitudes, suggesting that users may prefer partial automation rather than full autonomy during early deployment stages. In contrast to prior research, trust and satisfaction do not significantly influence attitudes, suggesting a context-specific pattern in which user evaluations may be shaped more by system-related considerations than by psychological responses in this early-stage pilot setting. Furthermore, perceived human backup plays a dual role by enhancing experienced safety while simultaneously reducing perceived autonomy, highlighting a human backup paradox in early-stage deployment. Contextual factors, including integration value and fare acceptability, significantly influence continuation intention, highlighting the importance of system-level integration in public transport. The fsQCA results further uncover multiple configurational pathways leading to high acceptance, demonstrating causal complexity and equifinality. These findings advance understanding of user acceptance in early-stage autonomous mobility systems and provide both practical and policy-relevant insights for designing safe, trustworthy, and system-integrated AI-enabled transport services, thereby supporting the sustainable deployment of autonomous transport systems in smart cities. Full article
(This article belongs to the Special Issue Resilient Infrastructure for Climate Action: The Nexus of Technology, Management, and Innovation)
21 pages, 748 KB  
Article
Examining the Impact of Artificial Intelligence Technology on Sustainable Development in Highway Maintenance Industry: A Structural Equation Modelling Approach
by Jizhao Zhou, Chenyang Wang, Jin Guo and Peng Qin
Sustainability 2026, 18(2), 889; https://doi.org/10.3390/su18020889 - 15 Jan 2026
Viewed by 491
Abstract
In the field of the road transportation industry, quantitative research on the relationship between artificial intelligence (AI) technology and corporate sustainable development is relatively scarce. This disparity has led to discussions about whether artificial intelligence technology can truly promote the sustainable development level [...] Read more.
In the field of the road transportation industry, quantitative research on the relationship between artificial intelligence (AI) technology and corporate sustainable development is relatively scarce. This disparity has led to discussions about whether artificial intelligence technology can truly promote the sustainable development level of the highway maintenance industry. Therefore, this study aims to quantify the relationship between artificial intelligence technology and the sustainable development of the highway maintenance industry, and to analyze the reasons behind the current controversies. The research results show: (1) Each exogenous variable has an impact on sustainable development, although the degree of influence varies, especially the economic development level (ED) has the strongest direct effect on sustainable development, followed by the level of market demand (MD), the level of policy support (PS), and the level of enterprise capital (EC); (2) Moderating variables can enhance this direct impact, among which the moderating effect of ED on the relationship between ED and sustainable development is the strongest; (3) Artificial intelligence technology has different impacts on enterprises at different positions in the industrial chain, thereby explaining the controversy over whether to adopt it or not. These conclusions highlight the value of artificial intelligence technology and provide a reasonable explanation for the existing controversies in the industry and research field. Full article
(This article belongs to the Special Issue Resilient Infrastructure for Climate Action: The Nexus of Technology, Management, and Innovation)
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