Networks and Spatial Economics

, 9:171

Evacuation Transportation Planning Under Uncertainty: A Robust Optimization Approach


DOI: 10.1007/s11067-009-9103-1

Cite this article as:
Yao, T., Mandala, S.R. & Chung, B.D. Netw Spat Econ (2009) 9: 171. doi:10.1007/s11067-009-9103-1


This paper considers evacuation via surface transportation networks in an uncertain environment. We focus on demand uncertainty which can lead to significant infeasibility cost during evacuation, where loss of life or property may appear. We develop a robust linear programming model based on a robust optimization approach where hard constraints are guaranteed within an appropriate uncertainty set. The robust counterpart solutions have been shown tractable. We show that the robustness in evacuation is important and a robust solution outperforms a nominal deterministic solution in both quality and feasibility.


Dynamic traffic assignmentEvacuationRobust optimizationData uncertainty

Copyright information

© Springer Science+Business Media, LLC 2009

Authors and Affiliations

  • Tao Yao
    • 1
  • Supreet Reddy Mandala
    • 1
  • Byung Do Chung
    • 1
  1. 1.Department of Industrial and Manufacturing EngineeringThe Pennsylvania State UniversityUniversity ParkUSA