Functionality assessment of road network combining flood roadworthiness and graph topology

Flood hazards can affect road networks by closing roads, extending travel distances and lengthening travel times. This paper innovatively integrates flood hazard, road network topology and vehicle vulnerability via a severity factor to assess the accessibility of exposed links and the performance of the whole network. The overall network functionality loss under different flood return periods is assessed by evaluating the functionality of each network link for cars and SUVs. The most vulnerable links are identified and used to assess the performance of the entire network using topology-based metrics such as average shortest paths and isochrones. The case study of Bristol (UK) is investigated. It is demonstrated that network status is a function of vehicle typology, with SUVs exhibiting naturally stronger resistance to flood than cars. This finding can support preparedness strategies of road networks in the face of future flood events.

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Publication Details

Journal
Transportation Research Part D Transport and Environment
Published
2024-08-16
DOI
https://doi.org/10.1016/j.trd.2024.104354
Citations
13
Primary Topic
Infrastructure Resilience and Vulnerability Analysis
Type
article
Field-Weighted Citation Impact
3.39

Funders

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article

Functionality assessment of road network combining flood roadworthiness and graph topology

Maria Pregnolato, Raffaele De Risi, Neil Carhart, Jeffrey Neal et al.
13 citations
Transportation Research Part D Transport and Environment
Infrastructure Resilience and Vulnerability Analysis
3.39
article

Functionality assessment of road network combining flood roadworthiness and graph topology

Maria Pregnolato, Raffaele De Risi, Neil Carhart, Jeffrey Neal, Ke He
article en
13 citations

Abstract

Flood hazards can affect road networks by closing roads, extending travel distances and lengthening travel times. This paper innovatively integrates flood hazard, road network topology and vehicle vulnerability via a severity factor to assess the accessibility of exposed links and the performance of the whole network. The overall network functionality loss under different flood return periods is assessed by evaluating the functionality of each network link for cars and SUVs. The most vulnerable links are identified and used to assess the performance of the entire network using topology-based metrics such as average shortest paths and isochrones. The case study of Bristol (UK) is investigated. It is demonstrated that network status is a function of vehicle typology, with SUVs exhibiting naturally stronger resistance to flood than cars. This finding can support preparedness strategies of road networks in the face of future flood events.

Transportation Research Part D Transport and EnvironmentVol. 135
University of Bristol (GB), Delft University of Technology (NL)
Economic and Social Research Council
Climate action
Openalex Percentile: Top 8%
Infrastructure Resilience and Vulnerability Analysis
3.39
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