Determining the Optimal Location of Terror Response Facilities under the Risk of Disruption
Document Type
Article
Publication Date
2-1-2018
Abstract
The highly strategic nature of terrorist attacks has often frustrated attempts at locating emergency response facilities. To better determine the optimal location of such facilities, we present a leader-follower game between State and Terrorist by considering facility failures. The first stage of the game allows State to make a facility location decision and facility assignment to the attacked city, while the second stage allows Terrorist to select one city to attack after observing the State's strategy. The game is translated into a minmaxmin problem, and a population-based heuristic algorithm is proposed to solve it. We evaluate the performance of both model and heuristic by using an emergency example. Our results indicate that the proposed algorithm is able to generate suitable facility location solutions, allowing us to deploy resources more efficiently during a terrorist attack to where they are needed.
Identifier
85023631085 (Scopus)
Publication Title
IEEE Transactions on Intelligent Transportation Systems
External Full Text Location
https://doi.org/10.1109/TITS.2017.2697965
ISSN
15249050
First Page
476
Last Page
486
Issue
2
Volume
19
Grant
71371142
Fund Ref
National Natural Science Foundation of China
Recommended Citation
Meng, Lingpeng; Kang, Qi; Han, Chuanfeng; and Zhou, Mengchu, "Determining the Optimal Location of Terror Response Facilities under the Risk of Disruption" (2018). Faculty Publications. 8876.
https://digitalcommons.njit.edu/fac_pubs/8876
