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Computational Evacuation Modeling in Wildfires

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Encyclopedia of Wildfires and Wildland-Urban Interface (WUI) Fires

Synonyms

Emergency egress; Evacuation; Evacuees; Pedestrians; People; Person; Residents; Traffic; Vehicle transport

Definition

Evacuation refers to the dispersal or removal of people from dangerous areas and their arrival at a place of relative safety. In the context of wildfires, this involves the movement of people away from a wildfire, the forest, or the wildland-urban interface (WUI) to a safer place of shelter. Evacuations may be mandatory, advised, or spontaneous. An evacuation model is a qualitative or quantitative conceptual framework used to depict evacuee response, assist decision-making, and finally improve people safety. Computational evacuation modeling refers to the implementation of this conceptual framework into a computer, typically to quantify evacuee performance.

Introduction

Wildfires are a global issue which affects numerous communities around the world, with an associated economic burden estimated to be between 71 and 348 billion dollars (the estimated impact is...

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Author information

Authors and Affiliations

  1. Department of Fire Safety Engineering, Lund University, Lund, Sweden

    Enrico Ronchi

  2. Movement Strategies, London, UK

    Steven Gwynne

Authors
  1. Enrico Ronchi
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  2. Steven Gwynne
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Corresponding author

Correspondence to Enrico Ronchi .

Editor information

Editors and Affiliations

  1. United States Department of Commerce, National Institute of Standards and Technology, Gaithersburg, MD, USA

    Samuel L. Manzello

Section Editor information

  1. Land & Water, CSIRO, Melbourne, Victoria, Australia

    Raphaele Blanchi PhD

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Ronchi, E., Gwynne, S. (2019). Computational Evacuation Modeling in Wildfires. In: Manzello, S. (eds) Encyclopedia of Wildfires and Wildland-Urban Interface (WUI) Fires. Springer, Cham. https://doi.org/10.1007/978-3-319-51727-8_121-1

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  • DOI: https://doi.org/10.1007/978-3-319-51727-8_121-1

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-51727-8

  • Online ISBN: 978-3-319-51727-8

  • eBook Packages: Springer Reference EngineeringReference Module Computer Science and Engineering

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