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Decision Analysis for Resilient and Sustainable Infrastructure Systems: Design and Planning with Digital Supports

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

Deadline for manuscript submissions: 31 December 2026 | Viewed by 1734

Editors


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Guest Editor
Department of Architecture—DIARC, University of Naples Federico II, 800134 Naples, Italy
Interests: urban green infrastructure; ecosystem services; mapping; urban soils; circularity

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Guest Editor
Institute for Research on Innovation and Services for Development, National Research Council (CNR), 80134 Naples, Italy
Interests: sustainable planning; inclusive cities; circularity; civic engagement; policy design

E-Mail Website
Guest Editor
Department of Architecture, University of Naples Federico II, 800134 Naples, Italy
Interests: urban green infrastructure; ecosystem services mapping; remote sensing; information technologies; spatial decision support systems

Special Issue Information

Dear Colleagues,

The increasing exposure of cities to climate-induced risks requires integrating decision analysis into designing and planning of infrastructure systems [1–4]. The limited resources available to public administrations prompt them to prioritize proactive approaches to reduce the damage caused by risk events [5–7]. These approaches include updating conventional planning methods with scenario-based approaches which are supported by decision analysis methods and digital tools, including interoperable platforms and monitoring tools such as remote sensing and spatially enabled decision-support systems [8–11].

According to these remarks, this Special Issue aims to explore how decision analysis and informative support tools interact with planning and design methods to enhance the resilience and sustainability of infrastructure systems [12,13]. Our goal is to gather research articles and critical essays that

  • Evaluate existing digital decision support systems for the quality and efficacy for creating resilient and sustainable infrastructure.
  • Assess the quality of spatial support tools for addressing the impact of extreme events on local communities and infrastructures.
  • Establish novel frameworks in research and practice for developing digital decision support systems for addressing urban infrastructure

References

  1. IPCC. (2023). Climate Change 2023: Synthesis Report. Contribution of Working Groups I, II and III to the Sixth Assessment Report of the Intergovernmental Panel on Climate Change (H. Lee & J. Romero, Eds.). Intergovernmental Panel on Climate Change. https://doi.org/10.59327/IPCC/AR6-9789291691647
  2. United Nations Office for Disaster Risk Reduction. (2015). Sendai Framework for Disaster Risk Reduction 2015–2030. UNDRR. https://www.undrr.org/publication/sendai-framework-disaster-risk-reduction-2015-2030
  3. European Commission. (2021). Accounting for ecosystems and their services in the European Union (INCA): Final report from phase II of the INCA project aiming to develop a pilot for an integrated system of ecosystem accounts for the EU (2021 edition). Publications Office of the European Union. https://doi.org/10.2785/197909
  4. Meerow, S., Newell, J. P., & Stults, M. (2016). Defining urban resilience: A review. Landscape and Urban Planning, 147, 38–49. https://doi.org/10.1016/j.landurbplan.2015.11.011
  5. Ahern, J. (2011). From fail-safe to safe-to-fail: Sustainability and resilience in the new urban world. Landscape and Urban Planning, 100(4), 341–343. https://doi.org/10.1016/j.landurbplan.2011.02.021
  6. United Nations. (2014). System of Environmental-Economic Accounting 2012: Central Framework. United Nations. https://unstats.un.org/unsd/envaccounting/seeaRev/SEEA_CF_Final_en.pdf
  7. European Commission. (2013). Mapping and assessment of ecosystems and their services (MAES): An analytical framework for ecosystem assessments under Action 5 of the EU Biodiversity Strategy to 2020. Publications Office of the European Union. https://doi.org/10.2779/12398
  8. Sugumaran, R., & DeGroote, J. (2010). Spatial Decision Support Systems: Principles and Practices. CRC Press. https://doi.org/10.1201/b10322
  9. Ochoa, V., & Urbina-Cardona, N. (2017). Tools for spatially modeling ecosystem services: Publication trends, conceptual reflections and future challenges. Ecosystem Services, 26, 155–169. https://doi.org/10.1016/j.ecoser.2017.06.011
  10. Reinwald, F., Brandenburg, C., Gabor, A., Hinterkörner, P., Kainz, A., Kraus, F., Ring, Z., Scharf, B., Tötzer, T., & Damyanovic, D. (2021). Multi-level toolset for steering urban green infrastructure to support the development of climate-proofed cities. Sustainability, 13(21), 12111. https://doi.org/10.3390/su132112111
  11. Geertman, S., & Witte, P. (2024). From PSScience to digital planning: Steps towards an integrated research and practice agenda for digital planning. Computers, Environment and Urban Systems, 114, 102183. https://doi.org/10.1016/j.compenvurbsys.2024.102183
  12. Malczewski, J. (1999). GIS and Multicriteria Decision Analysis. John Wiley & Sons.
  13. Di Cesare, E. A., Floris, R., Cocco, C., & Campagna, M. (2018). Linking knowledge to action with geodesign. In R. Papa, R. Fistola, & C. Gargiulo (Eds.), Smart planning: Sustainability and mobility in the age of change (pp. 179–198). Springer. https://doi.org/10.1007/978-3-319-77682-8_12

Prof. Dr. Marina Rigillo
Dr. Gabriella Esposito De Vita
Dr. Martina Di Palma
Guest Editors

Manuscript Submission Information

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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

  • decision analysis
  • resilient and sustainable infrastructure
  • digital decision support systems
  • climate vulnerability
  • planning and design support system
  • multi-criteria decision-making
  • scenario analysis
  • geospatial analysis
  • citizen science
  • natural capital accounting

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Published Papers (2 papers)

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Research

24 pages, 1928 KB  
Article
Agent-Based Simulation and Mechanism Identification of Evacuation Efficiency in a Typical Built-Up Area Within a Desert Corridor County: A Case Study of Ruoqiang, Xinjiang
by Ling Yang, Junliang Wang, Longhui He, Dongwei Huo, Shanshan Jiang and Hao Wu
Sustainability 2026, 18(13), 6573; https://doi.org/10.3390/su18136573 - 29 Jun 2026
Viewed by 276
Abstract
Research on evacuation in built-up areas within corridor-dependent counties is shifting from static shelter-coverage assessment toward dynamic simulation of spatial constraints, behavioral heterogeneity, and organizational capacity. This study takes a typical built-up area within Ruoqiang County, Xinjiang, as the simulation unit, rather than [...] Read more.
Research on evacuation in built-up areas within corridor-dependent counties is shifting from static shelter-coverage assessment toward dynamic simulation of spatial constraints, behavioral heterogeneity, and organizational capacity. This study takes a typical built-up area within Ruoqiang County, Xinjiang, as the simulation unit, rather than the entire county administrative area. GIS-based shortest-path analysis shows that the origin-to-nearest-shelter distance ranges from approximately 0.03 km to 0.64 km, indicating a short-distance pedestrian evacuation context. Based on multi-source spatial data from 2025, this study constructs an agent-based evacuation simulation framework and positions the model as a general evacuation-capacity experiment rather than a predictive simulation of a specific hazard process. Five scenarios are compared: fully disordered, 25% ordered, 50% ordered, 75% ordered, and fully ordered evacuation. Under the ideal ordered-information assumption, the simulated system reaches complete evacuation within 9.25 min, whereas the fully disordered scenario enters a low-level plateau after approximately 4.88 min, with a final evacuation rate of about 13%. The 25%, 50%, and 75% ordered scenarios reach plateau levels of approximately 37–38%, 61–62%, and 71–72%, respectively. Origin-type results further indicate that origins near shelters, directly connected to shelters, or embedded in continuous road networks respond more strongly to improved organization, whereas origins near boundaries, in low-connectivity areas, far from shelters, or adjacent to bottleneck nodes are more likely to generate late-stage retention. This study reveals how destination cognition, route organization, and origin spatial conditions jointly shape evacuation efficiency in a typical built-up area within a corridor-dependent county under specified scenario assumptions. Full article
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21 pages, 8048 KB  
Article
Digital Platforms for Climate-Resilient and Sustainable Planning: Lessons on Nature-Based Solutions from a Louisiana Watershed-Scale Case Study
by Martina Di Palma, Gabriella Esposito De Vita and Marina Rigillo
Sustainability 2026, 18(6), 2783; https://doi.org/10.3390/su18062783 - 12 Mar 2026
Viewed by 774
Abstract
Digital platforms have been increasingly adopted to support sustainable climate-resilient planning by implementing nature-based solutions (NbSs) as an effective short-term strategy. Although existing studies have deepened the operational performance of digital platforms, less attention has been paid to their role as knowledge infrastructure [...] Read more.
Digital platforms have been increasingly adopted to support sustainable climate-resilient planning by implementing nature-based solutions (NbSs) as an effective short-term strategy. Although existing studies have deepened the operational performance of digital platforms, less attention has been paid to their role as knowledge infrastructure for shaping sustainability-relevant planning practices. This paper examines the informative structure of the Louisiana Watershed Initiative (LWI) platform. This is intended as a relevant case study to investigate how digital platforms organize data, information, and knowledge to support NbS-oriented climate resilience at the watershed scale. The study adopts a mixed-method case-study approach, combining an interpretative analysis of the platform’s digital and informational architecture with targeted tests of NbS-oriented decision-support interfaces. The results highlight the operational and cognitive conditions in shaping NbS prioritization processes—notably, those related to scaling, informational structuring, and governance alignment. While the platform effectively supports digital decision-making processes at regional and watershed levels, limitations emerge regarding how ecological knowledge is produced, interpreted, and operationalized within planning frameworks, with implications for the long-term sustainability and robustness of planning decisions. The lesson learnt by the analysis of the LWI identifies the conditions under which the analytical approach can be replicated and highlights insights relevant to both the design and evaluation of digital decision-support platforms in NbS-oriented planning contexts. Full article
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