The impact of self-evacuation from flood hazard areas on the equilibrium of the road transport

•Modelling disruption-induced evacuation is conducted mainly to determine the causes behind such disruptions and to assess their impact.•Evacuation from flood hazard areas following non-typical disruptions has a considerable impact on changes in the spatial distribution of the load on the road netwo...

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Veröffentlicht in:Safety science 2023-01, Vol.157, p.105934, Article 105934
Hauptverfasser: Borowska-Stefańska, Marta, Kowalski, Michał, Wiśniewski, Szymon, Dulebenets, Maxim A.
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Sprache:eng
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Zusammenfassung:•Modelling disruption-induced evacuation is conducted mainly to determine the causes behind such disruptions and to assess their impact.•Evacuation from flood hazard areas following non-typical disruptions has a considerable impact on changes in the spatial distribution of the load on the road network.•Analysis of the variants of self-evacuation is vital if we wish to improve the planning and management of the process.•Self-evacuation has a lesser impact on travel speeds. The main purpose of this article is to identify the local determinants for self-evacuation during a flooding event and the impact that the changes related to its individual stages and forms exert on the operational efficiency of the regional transport system. The authors conducted a questionnaire survey, the results of which were used to perform a series of traffic simulations. Six scenarios were analysed, each exemplifying various stages and forms of self-evacuation. Base volumes of traffic flows, speeds within the congested network, and travel times between individual transport regions were determined on the basis of a multi-modal and multi-motivational model of the area which takes into account the following types of traffic: internal, source-external, source–destination, and transit. The study showed that the evacuation from flood hazard areas following non-typical disruptions has a considerable impact on changes in the spatial distribution of the load on the road network.
ISSN:0925-7535
1879-1042
DOI:10.1016/j.ssci.2022.105934