AntifragiCity: Advancing Urban Mobility Through Antifragile

This paper presents a theoretical framework derived from a funded European Commission proposal for enhancing urban mobility systems through antifragile principles. While urban mobility systems increasingly face unprecedented challenges due to interconnected crises, this proposed framework aims to enable systems to improve through disruptions rather than merely recover from them. The framework, scheduled to begin implementation in May 2025, proposes to combine real-time monitoring, adaptive decision support, and machine learning. Planned validation will occur across three European cities, Larissa, Odessa, and Bratislava, pending final agreements and implementation. All results and improvements discussed in this paper are projections based on preliminary simulations and theoretical analysis. Expected outcomes, subject to real-world validation, include potential improvements in accident rates, system resilience, and public engagement in urban mobility planning.

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Published
2025-06-16
DOI
https://doi.org/10.1109/ice/itmc65658.2025.11106596
Primary Topic
Infrastructure Resilience and Vulnerability Analysis
Type
article
Field-Weighted Citation Impact
0.00

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AntifragiCity: Advancing Urban Mobility Through Antifragile

Ali Ghoroghi, Abolfazl Ghaemi, Yacine Rezgui, Evangelos Manthos et al.
Infrastructure Resilience and Vulnerability Analysis
article

AntifragiCity: Advancing Urban Mobility Through Antifragile

Ali Ghoroghi, Abolfazl Ghaemi, Yacine Rezgui, Evangelos Manthos, Theocharis Vlachopanagiotis
article en

Abstract

This paper presents a theoretical framework derived from a funded European Commission proposal for enhancing urban mobility systems through antifragile principles. While urban mobility systems increasingly face unprecedented challenges due to interconnected crises, this proposed framework aims to enable systems to improve through disruptions rather than merely recover from them. The framework, scheduled to begin implementation in May 2025, proposes to combine real-time monitoring, adaptive decision support, and machine learning. Planned validation will occur across three European cities, Larissa, Odessa, and Bratislava, pending final agreements and implementation. All results and improvements discussed in this paper are projections based on preliminary simulations and theoretical analysis. Expected outcomes, subject to real-world validation, include potential improvements in accident rates, system resilience, and public engagement in urban mobility planning.

Aristotle University of Thessaloniki (GR), Cardiff University (GB)
European Commission, HORIZON EUROPE Framework Programme
Sustainable cities and communities
Openalex Percentile: Top 79%
Infrastructure Resilience and Vulnerability Analysis
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