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The simulation of wildland-urban interface fire evacuation: The WUI-NITY platform

journal contribution
posted on 2024-11-02, 15:42 authored by Jonathan Wahlqvist, Enrico Ronchi, Steve Gwynne, Erica KuligowskiErica Kuligowski
Wildfires are a significant safety risk to populations adjacent to wildland areas, known as the wildland-urban interface (WUI). This paper introduces a modelling platform called WUI-NITY. The platform is built on the Unity3D game engine and simulates and visualises human behaviour and wildfire spread during an evacuation of WUI communities. The purpose of this platform is to enhance the situational awareness of responders and residents during evacuation scenarios by providing information on the dynamic evolution of the emergency. WUI-NITY represents current and predicted conditions by coupling the three key modelling layers of wildfire evacuation, namely the fire, pedestrian, and traffic movement. This allows predictions of evacuation behaviour over time. The current version of WUI-NITY demonstrates the feasibility and advantages of coupling the modelling layers. Its wildfire modelling layer is based on FARSITE, the pedestrian layer implements a dedicated pedestrian response and movement model, and the traffic layer includes a traffic evacuation model based on the Lighthill-Whitham-Richards model. The platform also includes a sub-model called PERIL that designs the spatial location of trigger buffers. The main contribution of this work is in the development of a modular and model-agnostic (i.e., not linked to a specific model) platform with consistent levels of granularity (allowing a comparable modelling resolution in the representation of each layer) in all three modelling layers. WUI-NITY is a powerful tool to protect against wildfires; it can enable education and training of communities, forensic studies of past evacuations and dynamic vulnerability assessment of ongoing emergencies.

History

Related Materials

  1. 1.
    DOI - Is published in 10.1016/j.ssci.2020.105145
  2. 2.
    ISSN - Is published in 09257535

Journal

Safety Science

Volume

136

Number

105145

Start page

1

End page

12

Total pages

12

Publisher

Elsevier B.V.

Place published

Netherlands

Language

English

Copyright

© 2021 The Author(s Published by Elsevier Ltd. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).

Former Identifier

2006105116

Esploro creation date

2021-04-21

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