De Nardi, Cristina, Ghaemi, Afrouz, Hodorog, Andrei ORCID: https://orcid.org/0000-0002-4701-5643, Cerè, Giulia, Ghoroghi, Ali and Rezgui, Yacine ORCID: https://orcid.org/0000-0002-5711-8400
2026.
Software requirements for semantic-based antifragile urban mobility decision-support systems under disruption.
Progress in Disaster Science
31
, 100657.
10.1016/j.pdisas.2026.100657
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Abstract
Urban mobility systems are increasingly exposed to recurrent disruptions driven by climate extremes, infrastructure failures, and socio-economic shocks. These pressures expose the limits of resilience-oriented planning approaches that prioritise recovery to pre-disturbance conditions, and they motivate a shift toward antifragility, understood here as the capacity of systems to learn, adapt, and improve through disruption. This paper presents a validated set of requirements for SUMA (Smart Urban Mobility Antifragility), a semantic-based decision-support platform designed to support adaptive mobility management under disruptive conditions. The study adopts a triangulated methodology combining a systematic literature review, a requirement-capture questionnaire completed by project partners, a workshop for refinement, and a two-round Delphi consultation with nine multidisciplinary experts from eight countries. The resulting 47 requirements are organised into eight thematic categories spanning spatial, environmental, institutional, equity, safety, policy, and data-governance dimensions. Consensus assessment using interquartile range thresholds on a seven-point Likert scale identified 40 requirements with high agreement, defining a validated core specification for SUMA. The validated requirement set covers emergency response, scenario analysis, antifragility scoring, multi-source data fusion, and equity-aware monitoring. The paper contributes a structured and replicable framework for eliciting and validating requirements for decision-support systems intended to support urban mobility management under disruption.
| Item Type: | Article |
|---|---|
| Date Type: | Publication |
| Status: | Published |
| Schools: | Schools > Engineering |
| ISSN: | 2590-0617 |
| Date of First Compliant Deposit: | 4 August 2026 |
| Date of Acceptance: | 22 July 2026 |
| Last Modified: | 04 Aug 2026 11:01 |
| URI: | https://orca.cardiff.ac.uk/id/eprint/188725 |
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