Wildfire Evacuation Survey of Residents in CA, CO, and OR [supporting dataset]

Data were collected by the project team through Amazon Mechanical Turk (MTurk) between April and May 2022. The team conducted an online survey of residents in wildfire-prone areas, specifically in California, Colorado, and Oregon, which have experienced major wildfire events and evacuations in the past several years, to capture their diverse behaviors prior to and during a wildfire evacuation. A total of 1,312 participants responded to the survey, but 459 responses were considered invalid because they did not meet the following criteria: (a) participants should pass all attention checks; (b) participants should provide the same answers to two identical questions during the survey; and (c) the combined number of elder people and children in his/her household should be less than or equal to the total number of people in the household. Therefore, the dataset contains only 853 valid responses. The dataset includes the responses about evacuation trigger, evacuation timing, preparation time, evacuation destination, main mode of evacuation, primary route choice, and some independent variables that may affect evacuee’s responses during wildfire evacuation.

  • Dataset URL:
  • Record URL:
  • Supplemental Notes:
    • This document was sponsored by the U.S. Department of Transportation, University Transportation Centers Program. The dataset supports report: Agent-based Modeling Framework for Wildfire Evacuation in Damaged Transportation Settings, available at the URL above.
  • Corporate Authors:

    Pacific Northwest Transportation Consortium

    University of Washington
    More Hall Room 112
    Seattle, WA  United States  98195-2700

    Office of the Assistant Secretary for Research and Technology

    Department of Transportation
    1200 New Jersey Avenue, SE
    Washington, DC  United States  20590
  • Authors:
  • Publication Date: 2023-3-2

Language

  • English

Media Info

  • Media Type: Dataset
  • Dataset: Version: 1.0 Integrity Hash:
  • Dataset publisher:

    Harvard Dataverse

    ,    

Subject/Index Terms

Filing Info

  • Accession Number: 01882107
  • Record Type: Publication
  • Contract Numbers: 69A355174110
  • Files: UTC, TRIS, ATRI, USDOT
  • Created Date: May 16 2023 4:53PM