Vulnerability analysis of evacuation transportation networks

Jun Kim, Je Hun Lee, Hyun Jung Kim, Byung Do Chung

Research output: Contribution to journalArticlepeer-review


As natural disasters are increasing in frequency and scale, there is increasing interest in determining appropriate reactions to the disasters, such as evacuation planning and disaster relief distribution. When an evacuation network is built, strategic analyses are needed to support its operations. One of these is a vulnerability analysis to determine the weak points of an evacuation transportation network is one of those. This study aims to analyze the vulnerability of evacuation transportation networks constructed using the cell transmission model. Previous studies have considered all the possible scenarios to investigate weak points without using mathematical approaches. In this paper, we propose a bi-level optimization model to identify the fragile spots in a network. Due to the complexity of the problem, a genetic algorithm combined with linear programming is developed to find good solutions in a reasonable computational time. Solutions from the proposed algorithm are compared with optimal solutions.

Original languageEnglish
Pages (from-to)663-673
Number of pages11
JournalInternational Journal of Industrial Engineering : Theory Applications and Practice
Publication statusPublished - 2018

Bibliographical note

Publisher Copyright:
© 2018 International Journal of Industrial Engineering.

All Science Journal Classification (ASJC) codes

  • Industrial and Manufacturing Engineering


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