Integrating Supply and Demand Aspects of Transportation for Mass Evacuation under Disasters

This study seeks to address real-time operational needs in the context of the evacuation response problem by providing a capability to dynamically route vehicles under evacuation, thereby being responsive to the actual conditions unfolding in real-time in the traffic network, both in terms of the evolving traffic patterns (demand-side) and the available road infrastructure in the aftermath of the disaster (supply-side). A key aspect in evacuation operations which is not well-understood is the interplay between route choice behavior and its effect on traffic and supply dynamics (i.e., composition of evacuation traffic, changes in roadway capacities, etc.). Evacuation traffic has historically been quantified with descriptive surveys characterizing the behavioral aspects from social or psychological contexts. Integration of these behavioral aspects into traffic and/or supply-side models has been limited. This study seeks to address such integration for generating realistic and effective evacuation strategies by focusing on developing behavioral models for no-notice mass evacuation. They include: (i) an evacuation participation decision model that determines whether an individual or a group of individuals would evacuate at the current time in a disaster context, and (ii) an evacuation route choice model that determines the routes taken by individuals or groups of individuals after they take a decision to evacuate.

  • Record URL:
  • Supplemental Notes:
    • This document is disseminated under the sponsorship of the Department of Transportation, University Transportation Centers Program.
  • Corporate Authors:

    NEXTRANS

    Purdue University
    3000 Kent Avenue
    Lafayette, IN  United States  47906-1075

    Research and Innovative Technology Administration

    1200 New Jersey Avenue, SE
    Washington, DC  United States  20590
  • Authors:
    • Peeta, Srinivas
    • Hsu, Yu-Ting
  • Publication Date: 2009-10-15

Language

  • English

Media Info

  • Media Type: Print
  • Edition: Final Report
  • Features: Figures; References; Tables;
  • Pagination: 50p

Subject/Index Terms

Filing Info

  • Accession Number: 01149506
  • Record Type: Publication
  • Report/Paper Numbers: NEXTRANS Project No 019PY01
  • Contract Numbers: DTRT07-G-005 (Grant)
  • Files: UTC, TRIS, USDOT
  • Created Date: Jan 20 2010 11:38AM