Vulnerability patterns of road network to extreme floods based on accessibility measures

Papilloud, Tsolmongerel; Keiler, Margreth (2021). Vulnerability patterns of road network to extreme floods based on accessibility measures. Transportation research Part D. Transport and environment, 100, p. 103045. Elsevier 10.1016/j.trd.2021.103045

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Accessibility is a key measure of the vulnerability of road networks to disruptions such as floods. However, studies comparing the contribution of parameters to the accuracy of accessibility-based vulnerability assessment are lacking. We propose modifying two accessibility measures to include flood-affected populations, opportunities, and average shortest travel time. We also applied three methods including the divergent ranking method to identify the direct impact of extreme floods on road networks. The shortest travel time pathway calculation was enhanced with the inclusion of spatially distributed settlements as an input. The results indicate a strong relationship between parameter weights and the accessibility measures, irrespective of the evaluated approaches. The results of the study highlight that measures of overall vulnerability, with respect to inter-comparisons of flood scenarios alone, do not fully capture the local vulnerability of some traffic zones. This is particularly evident with the flooding of highly connected roads that serve these zones.

Item Type:

Journal Article (Original Article)

Division/Institute:

10 Strategic Research Centers > Oeschger Centre for Climate Change Research (OCCR) > MobiLab
08 Faculty of Science > Institute of Geography > Physical Geography > Unit Geomorphology
10 Strategic Research Centers > Oeschger Centre for Climate Change Research (OCCR)
08 Faculty of Science > Institute of Geography
08 Faculty of Science > Institute of Geography > Physical Geography

UniBE Contributor:

Papilloud, Tsolmongerel

Subjects:

500 Science > 550 Earth sciences & geology
900 History > 910 Geography & travel

ISSN:

1361-9209

Publisher:

Elsevier

Language:

English

Submitter:

Mira Maria Schär

Date Deposited:

22 Oct 2021 15:09

Last Modified:

16 Feb 2023 10:14

Publisher DOI:

10.1016/j.trd.2021.103045

BORIS DOI:

10.48350/160274

URI:

https://boris.unibe.ch/id/eprint/160274

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