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Global Optimization of Emergency Evacuation Assignments

Author

Listed:
  • Lee D. Han

    (Department of Civil and Environmental Engineering, University of Tennessee, 112 Perkins Hall, Knoxville, Tennessee 37996-2010)

  • Fang Yuan

    (PTV America, Inc., 1300 N. Market Street, Suite 603, Wilmington, Delaware 19801)

  • Shih-Miao Chin

    (ORNL Center of Transportation Analysis, National Transportation Research Center, 2360 Cherahala Boulevard, Knoxville, Tennessee 37932)

  • Holing Hwang

    (ORNL Center of Transportation Analysis, National Transportation Research Center, 2360 Cherahala Boulevard, Knoxville, Tennessee 37932)

Abstract

Conventional emergency evacuation plans often assign evacuees to fixed routes or destinations based mainly on geographic proximity. Such approaches can be inefficient if the roads are congested, blocked, or otherwise dangerous because of the emergency. By not constraining evacuees to prespecified destinations, a one-destination evacuation approach provides flexibility in the optimization process. We present a framework for the simultaneous optimization of evacuation-traffic distribution and assignment. Based on the one-destination evacuation concept, we can obtain the optimal destination and route assignment by solving a one-destination traffic-assignment problem on a modified network representation. In a county-wide, large-scale evacuation case study, the one-destination model yields substantial improvement over the conventional approach, with the overall evacuation time reduced by more than 60 percent. More importantly, emergency planners can easily implement this framework by instructing evacuees to go to destinations that the one-destination optimization process selects.

Suggested Citation

  • Lee D. Han & Fang Yuan & Shih-Miao Chin & Holing Hwang, 2006. "Global Optimization of Emergency Evacuation Assignments," Interfaces, INFORMS, vol. 36(6), pages 502-513, December.
  • Handle: RePEc:inm:orinte:v:36:y:2006:i:6:p:502-513
    DOI: 10.1287/inte.1060.0251
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    References listed on IDEAS

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    1. Urbina, Elba & Wolshon, Brian, 2003. "National review of hurricane evacuation plans and policies: a comparison and contrast of state practices," Transportation Research Part A: Policy and Practice, Elsevier, vol. 37(3), pages 257-275, March.
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    Cited by:

    1. Jorge A. Huertas & Daniel Duque & Ethel Segura-Durán & Raha Akhavan-Tabatabaei & Andrés L. Medaglia, 2020. "Evacuation dynamics: a modeling and visualization framework," OR Spectrum: Quantitative Approaches in Management, Springer;Gesellschaft für Operations Research e.V., vol. 42(3), pages 661-691, September.
    2. Gai, Wen-mei & Deng, Yun-feng & Jiang, Zhong-an & Li, Jing & Du, Yan, 2017. "Multi-objective evacuation routing optimization for toxic cloud releases," Reliability Engineering and System Safety, Elsevier, vol. 159(C), pages 58-68.
    3. Duanmu, Jun & Chowdhury, Mashrur & Taaffe, Kevin & Jordan, Craig, 2012. "Buffering in evacuation management for optimal traffic demand distribution," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 48(3), pages 684-700.
    4. Khamis, Nurulaqilla & Selamat, Hazlina & Ismail, Fatimah Sham & Lutfy, Omar Farouq & Haniff, Mohamad Fadzli & Nordin, Ili Najaa Aimi Mohd, 2020. "Optimized exit door locations for a safer emergency evacuation using crowd evacuation model and artificial bee colony optimization," Chaos, Solitons & Fractals, Elsevier, vol. 131(C).
    5. Yiping Jiang & Yufei Yuan, 2019. "Emergency Logistics in a Large-Scale Disaster Context: Achievements and Challenges," IJERPH, MDPI, vol. 16(5), pages 1-23, March.
    6. Hediye Tuydes-Yaman & Athanasios Ziliaskopoulos, 2014. "Modeling demand management strategies for evacuations," Annals of Operations Research, Springer, vol. 217(1), pages 491-512, June.
    7. Bian Liang & Dapeng Yang & Xinghong Qin & Teresa Tinta, 2019. "A Risk-Averse Shelter Location and Evacuation Routing Assignment Problem in an Uncertain Environment," IJERPH, MDPI, vol. 16(20), pages 1-28, October.
    8. Huang, Hai-Jun & Xia, Tian & Tian, Qiong & Liu, Tian-Liang & Wang, Chenlan & Li, Daqing, 2020. "Transportation issues in developing China's urban agglomerations," Transport Policy, Elsevier, vol. 85(C), pages 1-22.

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