A data-driven approach to improving evacuation time estimates during wildfires for communities with part-time residents in the wildland-urban interface

Li, Dapeng

doi:10.1016/j.ijdrr.2022.103363

Cited by 4 publications

(1 citation statement)

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“…Dapeng Li [50] developed a data-driven evacuation simulation model for wildfire scenarios using different types of data, evacuation simulation models, and GIS to improve evacuation time in holiday homes and resorts. Car ownership and occupancy rates in second homes were considered two important factors in evacuation times, and results showed that they have high correspondence with evacuation time.…”

Section: Evacuation Model Designmentioning

confidence: 99%

Evacuation Simulation under Threat of Wildfire—An Overview of Research, Development, and Knowledge Gaps

Beyki,

Santiago,

Laím

et al. 2023

Applied Sciences

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Wildfires have become a common incident over the past decades, and they have been threatening people’s lives and assets. In the communities close to wildlands or wildland–urban interfaces (WUI), these threats become increasingly serious, and in case of wildfires, people are advised or often have to evacuate the area to save their lives. In order to have a safe and effective evacuation, data on people’s behavior and decisions during wildfires, evacuation modeling, and traffic simulations are required. This paper reviews past and recent research on evacuation, human behavior in wildfires, evacuation modeling, and traffic simulation. Similar research on evacuation in other situations is also reviewed, and the applicability of the models and simulations on wildfires is discussed. Different stages for an evacuation modeling design are assessed, and the gaps and challenges in obtaining an effective evacuation model are presented.

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Section: Evacuation Model Designmentioning

confidence: 99%