Impact assessment on spatial connectivity and simulation of traffic flows under flood-related road network disruptions

• Assessment of flood disruptions on road networks using two quantitative approaches. • GIS analysis provides a preliminary vulnerability evaluation of road networks. • Mesoscopic simulation captures traffic dynamics and quantifies flood impacts. • Both methods estimate significant increases in travel times and distances. • Results confirm the effectiveness of combining GIS and traffic network analysis. Road networks serve as a critical lifeline for ensuring the mobility of people and goods. The increasing frequency and unpredictability of extreme weather events highlight the need for studies to identify potential vulnerabilities of road networks and assess the negative effects of disruptions on traffic flows. This paper investigates the vulnerability of road networks to flood-induced disruptions, emphasising the use of open data and open-source software tools. Two quantitative approaches are proposed and compared: (i) a GIS-based spatial and topological analysis that assesses network vulnerability without incorporating traffic demand, and (ii) mesoscopic traffic simulation with dynamic traffic assignment to evaluate network performance and functionality under disrupted conditions. These methodologies are applied to a case study in Northern Italy, highlighting their different levels of complexity and applicability depending on data availability. The results indicate that while the spatial and topological approach provides a preliminary identification of vulnerabilities, the simulation method offers a detailed understanding of the dynamic traffic flows under degraded conditions, capturing not only changes in travel distance and time but also the effects of congestion.

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Publication Details

Journal
Sustainable Cities and Society
Published
2025-11-21
DOI
https://doi.org/10.1016/j.scs.2025.107003
Citations
2
Primary Topic
Infrastructure Resilience and Vulnerability Analysis
Type
article
Field-Weighted Citation Impact
1.91
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article

Impact assessment on spatial connectivity and simulation of traffic flows under flood-related road network disruptions

Lorenzo Sica, Angela Carboni, Francesco Paolo Deflorio, Amirehsan Charlang Bakhtyari et al.
2 citations
Sustainable Cities and Society
Infrastructure Resilience and Vulnerability Analysis
1.91
article

Impact assessment on spatial connectivity and simulation of traffic flows under flood-related road network disruptions

Lorenzo Sica, Angela Carboni, Francesco Paolo Deflorio, Amirehsan Charlang Bakhtyari, Matteo Ferraro
article en
2 citations

Abstract

• Assessment of flood disruptions on road networks using two quantitative approaches. • GIS analysis provides a preliminary vulnerability evaluation of road networks. • Mesoscopic simulation captures traffic dynamics and quantifies flood impacts. • Both methods estimate significant increases in travel times and distances. • Results confirm the effectiveness of combining GIS and traffic network analysis. Road networks serve as a critical lifeline for ensuring the mobility of people and goods. The increasing frequency and unpredictability of extreme weather events highlight the need for studies to identify potential vulnerabilities of road networks and assess the negative effects of disruptions on traffic flows. This paper investigates the vulnerability of road networks to flood-induced disruptions, emphasising the use of open data and open-source software tools. Two quantitative approaches are proposed and compared: (i) a GIS-based spatial and topological analysis that assesses network vulnerability without incorporating traffic demand, and (ii) mesoscopic traffic simulation with dynamic traffic assignment to evaluate network performance and functionality under disrupted conditions. These methodologies are applied to a case study in Northern Italy, highlighting their different levels of complexity and applicability depending on data availability. The results indicate that while the spatial and topological approach provides a preliminary identification of vulnerabilities, the simulation method offers a detailed understanding of the dynamic traffic flows under degraded conditions, capturing not only changes in travel distance and time but also the effects of congestion.

Sustainable Cities and SocietyVol. 135
Politecnico di Torino (IT)
Openalex Percentile: Top 13%
Infrastructure Resilience and Vulnerability Analysis
1.91
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