Technical Papers
Aug 2, 2019

Game Approach to Vulnerability Analysis of Evacuation Highway Networks

Publication: Journal of Transportation Engineering, Part A: Systems
Volume 145, Issue 10

Abstract

A hurricane can cause a lot of damage to highway networks and significantly affect the evacuation trip operations on the roads. A good understanding of network vulnerability can improve preparedness for an emergency evacuation. This paper presents a game theory–based approach to the analysis of network vulnerability under a hurricane evacuation. A zero-sum game was constructed between a router, which seeks the minimum-cost paths for the evacuation trips, and a tester, which maximizes the travel cost by disturbing the links. The distribution of the evacuation demand was elastic because the probability of selecting an evacuation destination was determined by the path risk and travel cost. In addition, the congestion effect was also considered. A solution strategy based on the method of successive averages (MSA) was adopted. Over a sample network, the proposed method was compared with three other methods for the network vulnerability analyses. The method was applied to the vulnerability analysis of a realistic evacuation network in the Mississippi Gulf Coast area.

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Acknowledgments

The project received research funding support from the Institute for Multimodal Transportation (IMTrans) at Jackson State University. IMTrans is a member of the Maritime Transportation Research and Education Center (MarTREC) with the University of Arkansas (lead), and a member of the Southeastern Transportation Research, Innovation, Development and Education (STRIDE) Center with the University of Florida (lead). MarTREC is a Tier I University Transportation Center and STRIDE is a Regional University Transportation Center, funded by the US Department of Transportation. The authors are grateful to the three anonymous reviewers for sharing their research insights and providing helpful comments to improve the quality of the paper.

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Go to Journal of Transportation Engineering, Part A: Systems
Journal of Transportation Engineering, Part A: Systems
Volume 145Issue 10October 2019

History

Received: Feb 11, 2018
Accepted: Feb 4, 2019
Published online: Aug 2, 2019
Published in print: Oct 1, 2019
Discussion open until: Jan 2, 2020

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Authors

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Ph.D. Candidate, School of Transportation and Logistics, Southwest Jiaotong Univ., 111 the Second Ring Rd. North, Chengdu, Sichuan 610031, China. Email: [email protected]
Feng Wang, M.ASCE [email protected]
Associate Professor, Ingram School of Engineering, Texas State Univ., San Marcos, TX 78666 (corresponding author). Email: [email protected]
Research Associate, Institute for Multimodal Transportation, Jackson State Univ., 1230 Raymond Rd. 900, Jackson, MS 39204. Email: [email protected]
Professor, School of Transportation and Logistics, Southwest Jiaotong Univ., 111 the Second Ring Rd. North, Chengdu, Sichuan 610031, China. Email: [email protected]

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