Pick-up locations and bus allocation for transit-based evacuation planning with demand uncertainty

Ashish Kulshrestha, Yingyan Lou, Yafeng Yin

Research output: Contribution to journalArticle

25 Scopus citations

Abstract

This paper develops a decision-support model for transit-based evacuation planning under demand uncertainty. Demand uncertainty refers to the uncertainty associated with the number of transit-dependent evacuees. A robust optimization model is proposed to determine the optimal pick-up points for evacuees to assemble, and allocate available buses to transport the assembled evacuees between the pick-up locations and different public shelters. The model is formulated as a mixed-integer linear program and is solved via a cutting plane scheme. The numerical example based on the Sioux Falls network demonstrates that the robust plan yields lower total evacuation time and is reliable in serving the realized evacuee demand.

Original languageEnglish (US)
Pages (from-to)721-733
Number of pages13
JournalJournal of Advanced Transportation
Volume48
Issue number7
DOIs
StatePublished - Nov 1 2014

Keywords

  • bus allocation
  • demand uncertainty
  • evacuation planning
  • pick-up locations
  • robust optimization
  • transit-based evacuation

ASJC Scopus subject areas

  • Automotive Engineering
  • Economics and Econometrics
  • Mechanical Engineering
  • Computer Science Applications
  • Strategy and Management

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