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  Resilience of transportation infrastructure networks to road failures

Wassmer, J., Merz, B., Marwan, N. (2024): Resilience of transportation infrastructure networks to road failures. - Chaos, 34, 013124.
https://doi.org/10.1063/5.0165839

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https://zenodo.org/doi/10.5281/zenodo.10868627 (Supplementary material)
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We provide the code used for the analysis that we used in the article Resilience of transportation infrastructure networks to road failures.

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 Creators:
Wassmer, Jonas1, Author              
Merz, Bruno2, Author
Marwan, Norbert1, Author              
Affiliations:
1Potsdam Institute for Climate Impact Research, ou_persistent13              
2External Organizations, ou_persistent22              

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 Abstract: Anthropogenic climate change drives extreme weather events, leading to significant consequences for both society and the environment. This includes damage to road infrastructure, causing disruptions in transportation, obstructing access to emergency services, and hindering humanitarian organizations after natural disasters. In this study, we develop a novel method for analyzing the impacts of natural hazards on transportation networks rooted in the gravity model of travel, offering a fresh perspective to assess the repercussions of natural hazards on transportation network stability. Applying this approach to the Ahr valley flood of 2021, we discovered that the destruction of bridges and roads caused major bottlenecks, affecting areas considerably distant from the flood’s epicenter. Furthermore, the flood-induced damage to the infrastructure also increased the response time of emergency vehicles, severely impeding the accessibility of emergency services. Our findings highlight the need for targeted road repair and reinforcement, with a focus on maintaining traffic flow for emergency responses. This research provides a new perspective that can aid in prioritizing transportation network resilience measures to reduce the economic and social costs of future extreme weather events.

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Language(s): eng - English
 Dates: 2024-01-192024-01-19
 Publication Status: Finally published
 Pages: 17
 Publishing info: -
 Table of Contents: -
 Rev. Type: Peer
 Identifiers: DOI: 10.1063/5.0165839
MDB-ID: No MDB - stored outside PIK (see DOI)
PIKDOMAIN: RD4 - Complexity Science
Organisational keyword: RD4 - Complexity Science
Research topic keyword: Climate impacts
Research topic keyword: Extremes
Research topic keyword: Weather
Research topic keyword: Complex Networks
Research topic keyword: Nonlinear Dynamics
Regional keyword: Germany
Model / method: Nonlinear Data Analysis
Model / method: Quantitative Methods
OATYPE: Hybrid - American Institute of Physics
 Degree: -

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Title: Chaos
Source Genre: Journal, SCI, Scopus, p3
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Pages: - Volume / Issue: 34 Sequence Number: 013124 Start / End Page: - Identifier: CoNE: https://publications.pik-potsdam.de/cone/journals/resource/180808
Publisher: American Institute of Physics (AIP)