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Data-Driven Approaches and Decision Support Tools for Sustainable and Resilient Infrastructure Systems

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

Deadline for manuscript submissions: 28 February 2026 | Viewed by 93

Special Issue Editors

Department of Civil & Environmental Engineering, University of New Hampshire, Durham, NH 03824, USA
Interests: sustainable and resilient infrastructure; infrastructure–human–resource interdependency; water–energy nexus; complex systems modeling; life cycle assessment; system dynamics modeling
Special Issues, Collections and Topics in MDPI journals
Department of Civil and Environmental Engineering, University of New Hampshire, Durham, NH 03824, USA
Interests: machine learning; artificial intelligence; urban planning; system modeling and optimization
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

We are pleased to invite contributions to a forthcoming Special Issue focused on “Data-Driven Approaches and Decision Support Tools for Sustainable and Resilient Infrastructure Systems”. As infrastructure systems face growing pressures from climate change, aging assets, and evolving societal needs, the integration of data analytics and computational tools is becoming increasingly critical for enabling adaptive, informed, and future-ready decision-making.

This Special Issue will emphasize systems thinking and interdisciplinary modeling approaches in the development and application of data analytics and decision support tools for sustainable and resilient infrastructure systems. Topics of interest include systems-based predictive analytics, digital twins, scenario analysis, risk and resilience modelling, AI integration, and participatory decision-making under uncertainty. The collection aims to bridge disciplinary boundaries and connect theoretical advances with practical implementation. By foregrounding systems-oriented, data-driven frameworks, this Special Issue will highlight how interdisciplinary tools and methods can guide infrastructure design and management toward more adaptive, equitable, and sustainable outcomes in the face of evolving environmental, social, and technological challenges. 

We welcome interdisciplinary research, case studies, and methodological advancements that push the boundaries of how data is used to guide infrastructure decisions.

Dr. Weiwei Mo
Dr. Fei Han
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

  • systems thinking
  • sustainable and resilient infrastructure systems
  • decision support systems
  • interdisciplinary approaches
  • data analytics, scenario analysis
  • digital twinning
  • artificial intelligence
  • machine learning
  • uncertainty and risk assessment
  • participatory modeling

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Published Papers

This special issue is now open for submission.
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