Approach to modeling demand and supply for a short-notice evacuation

Hyunsoo Noh, Yi Chang Chiu, Hong Zheng, Mark Hickman, Pitu Mirchandani

Research output: Contribution to journalArticle

23 Scopus citations

Abstract

As part of disaster mitigation and evacuation planning, planners must be able to develop effective tactical and operational strategies to manage traffic and transportation needs during an evacuation. One aspect of evacuation planning is the estimation of how many people must be evacuated to provide strategies that are responsive to the number and location of these people. When such estimates are available, it may be possible to implement tactical and operational strategies that closely match the likely demand on the road network during the evacuation. With short notice for an evacuation, people may need to be evacuated directly from current locations. In addition, for some disasters, the spatial extent of the evacuated area may change over time. This problem may be exacerbated by congestion around the evacuated area. An estimation process is proposed for a short-notice evacuation. The method uses on-hand data typically generated through existing travel demand models at many metropolitan planning organizations. It estimates demand using convenient models for trip generation, trip distribution, and travel time generation for these trips, considering a staged evacuation. These demand estimates feed a dynamic simulation model, DynusT, that is used to model the supply characteristics of the roadway network during the evacuation. Such models can be applied using a case study based on a short-notice flooding scenario for Phoenix, Arizona.

Original languageEnglish (US)
Pages (from-to)91-99
Number of pages9
JournalTransportation Research Record
Issue number2091
DOIs
StatePublished - Dec 1 2009

ASJC Scopus subject areas

  • Civil and Structural Engineering
  • Mechanical Engineering

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