Mixed Methods Approaches to Wildfire Evacuation: Modeling Behavior, Simulation, and Equity
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Mixed Methods Approaches to Wildfire Evacuation: Modeling Behavior, Simulation, and Equity

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  • Creators:
    Grajdura, Sarah Allison
  • Corporate Creators:
    University of California, Davis
  • Contributors:
    Jaller, Miguel
  • Subject/TRT Terms:
  • Resource Type:
    Dissertation
  • Geographical Coverage:
  • Corporate Publisher:
    University of California, Davis
  • Abstract:
    This dissertation presents several aspects of short-notice wildfire evacuation, using empirical findings from the 2018 Camp Fire in Butte County, California. I examine the manner and timing in which people find out about and begin evacuating in a short notice wildfire. Using these findings, I build a simulation model of such a disaster, and examine different worst-case scenarios. Lastly, I use thematic analysis to reveal findings from first-person interviews with fire evacuees. This topic is important due to the prevalence of wildfires in California and the chance of future no/short-notice wildfires occurring in the future. In particular, the Camp Fire was extremely deadly and destructive. It is imperative that I study these large-scale events to improve response and planning. In this dissertation, I rely on data from two post-evacuation surveys as well as interview data taken at post-fire shelters. This unique dataset allows us to answer several questions about this specific event. I use the qualitative findings to add context to our quantitative results. The first paper addresses the timing of awareness, departure, and preparation in short and no-notice wildfire events.
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