Reliable evacuation planning via demand inflation and supply deflation

Research output: Contribution to journalResearch articleContributedpeer-review

Contributors

  • Man Wo Ng - , University of Texas at Austin (Author)
  • S. Travis Waller - , University of Texas at Austin (Author)

Abstract

This paper presents an evacuation route planning model that both accounts for demand uncertainty (i.e. the number of evacuees) as well as capacity uncertainty (i.e. the road capacities). To ensure reliability, the model plans for more evacuees (i.e. demand inflation) and less road capacity (i.e. supply deflation). A major contribution is that we provide a framework to determine the amount of demand inflation/supply deflation necessary to ensure a user-specified reliability level. The model is shown to be a natural generalization of previously proposed evacuation models. A small numerical case study reveals the key characteristics of the model.

Details

Original languageEnglish
Pages (from-to)1086-1094
Number of pages9
JournalTransportation Research Part E: Logistics and Transportation Review
Volume46
Issue number6
Publication statusPublished - Nov 2010
Peer-reviewedYes
Externally publishedYes

External IDs

ORCID /0000-0002-2939-2090/work/141543909

Keywords

Keywords

  • Demand inflation, Dynamic traffic assignment, Evacuation, Reliability, Supply deflation, Uncertainty