Local impacts on road networks and access to critical locations during extreme floods

Loreti, Simone; Ser-Giacomi, Enrico; Zischg, Andreas; Keiler, Margreth; Barthelemy, Marc (2022). Local impacts on road networks and access to critical locations during extreme floods. Scientific reports, 12(1), p. 1552. Springer Nature 10.1038/s41598-022-04927-3

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Floods affected more than 2 billion people worldwide from 1998 to 2017 and their occurrence is expected to increase due to climate warming, population growth and rapid urbanization. Recent approaches for understanding the resilience of transportation networks when facing floods mostly use the framework of percolation but we show here on a realistic high-resolution flood simulation that it is inadequate. Indeed, the giant connected component is not relevant and instead, we propose to partition the road network in terms of accessibility of local towns and define new measures that characterize the impact of the flooding event. Our analysis allows to identify cities that will be pivotal during the flooding by providing to a large number of individuals critical services such as hospitalization services, food supply, etc. This approach is particularly relevant for practical risk management and will help decision makers for allocating resources in space and time.

Item Type:

Journal Article (Original Article)

Division/Institute:

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:

Loreti, Simone; Zischg, Andreas Paul and Keiler, Margreth

Subjects:

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

ISSN:

2045-2322

Publisher:

Springer Nature

Language:

English

Submitter:

Mira Maria Schär

Date Deposited:

18 Feb 2022 14:46

Last Modified:

20 Feb 2022 01:55

Publisher DOI:

10.1038/s41598-022-04927-3

PubMed ID:

35091555

BORIS DOI:

10.48350/164993

URI:

https://boris.unibe.ch/id/eprint/164993

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