MAPPING EVACUATION RISK ON TRANSPORTATION NETWORKS USING A SPATIAL OPTIMIZATION MODEL

This paper focuses on the development of a methodology to identify network and demographic features of real transportation networks that may lead to significant problems in evacuation during a natural disaster. An optimization model is presented, called the critical cluster model, that can be used to identify small areas or neighborhoods with high ratios of population to exit capacity. Although this model in its simplest form is a nonlinear, constrained optimization problem, a special integer-linear programming equivalent can be formulated. Special contiguity constraints are needed to keep identified clusters spatially connected. Details are presented on how this model can be solved optimally, and computational experience for several example transportation networks is discussed. A description is provided of how this model can be integrated within a GIS system to produce maps of evacuation risk or vulnerability.

  • Availability:
  • Corporate Authors:

    Elsevier

    The Boulevard, Langford Lane
    Kidlington, Oxford  United Kingdom  OX5 1GB
  • Authors:
    • Church, R L
    • COVA, T J
  • Publication Date: 2000-2

Language

  • English

Media Info

Subject/Index Terms

Filing Info

  • Accession Number: 00800331
  • Record Type: Publication
  • Files: TRIS, ATRI
  • Created Date: Oct 5 2000 12:00AM