Towards modelling of evacuation behavior and planning for emergency logistics due to the Philippine Taal Volcanic eruption in 2020

Hector R. Lim (), Ma. Bernadeth B. Lim () and Ann Wendy M. Rojas ()
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Hector R. Lim: University of the Philippines Los Baños
Ma. Bernadeth B. Lim: University of the Philippines Los Baños
Ann Wendy M. Rojas: University of the Philippines Los Baños

Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, 2022, vol. 114, issue 1, No 23, 553-581

Abstract: Abstract Emergency evacuation is the immediate escape of people away from a place of an imminent threat to a place of safety. The ability of the households to evacuate is a crucial component in reducing disaster risks. Logistical issues such as a lack of resources during and after the evacuation, as well as road congestion, might arise, especially in short and no-notice calamities such as a volcanic eruption. This study examines the relationship of variables of evacuation logistics of Barangay Banga, Talisay, Batangas, in the context of the 2020 Taal Volcanic eruption. A survey was conducted based on the evacuation experience of the households at the onset of the eruption. First, a descriptive statistical analysis was performed for all the variables on household evacuation logistics to understand the evacuation behavior of households. These variables include the type of evacuation, departure timing, evacuation mode, and destination type choice. Additionally, a pairwise correlaton analysis was employed to identify the influential factors related to household evacuation logistics such as socio-demographic and household characteristics, their experience with Taal Volcano’s recurring activities and relationship with other evacuation-related decisions. The results of this study aim to provide insights into a better understanding of the evacuation behavior of households in the context of a volcanic eruption and be useful in the evacuation logistics planning of the country.

Keywords: Correlation analysis; Departure timing; Destination choice; Mode choice; Emergency planning (search for similar items in EconPapers)
Date: 2022
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DOI: 10.1007/s11069-022-05401-z

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