Determining the Optimal Location of Terror Response Facilities Under the Risk of Disruption

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, the authors' 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. The authors' evaluate the performance of both model and heuristic by using an emergency example. Their results indicate that the proposed algorithm is able to generate suitable facility location solutions, allowing them to deploy resources more efficiently during a terrorist attack to where they are needed.

• Record URL:
  • https://doi.org/10.1109/TITS.2017.2697965
• Availability:
  • Find a library where document is available. Order URL: http://worldcat.org/oclc/41297384
• Supplemental Notes:
  • Copyright © 2018, IEEE.
• Authors:
  • Meng, LingPeng
  • Kang, Qi
  • Han, ChuanFeng
  • Zhou, MengChu
  • 0000-0002-5408-8752
• Publication Date: 2018-2

Language

• English

Media Info

• Media Type: Digital/other
• Features: Figures; References; Tables;
• Pagination: pp 476-486
• Serial:
  • IEEE Transactions on Intelligent Transportation Systems
  • Volume: 19
  • Issue Number: 2
  • Publisher: Institute of Electrical and Electronics Engineers (IEEE)
  • ISSN: 1524-9050
  • Serial URL: http://ieeexplore.ieee.org/xpl/RecentIssue.jsp?punumber=6979

Subject/Index Terms

• TRT Terms: Algorithms; Facilities; Game theory; Heuristic methods; Optimization; Terrorism
• Geographic Terms: China
• Subject Areas: Data and Information Technology; Planning and Forecasting; Security and Emergencies; Terminals and Facilities; Transportation (General);

Filing Info

• Accession Number: 01663794
• Record Type: Publication
• Files: TLIB, TRIS
• Created Date: Mar 22 2018 12:01PM