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A strategic planning model for the railway system accident rescue problem

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  • Cheng, Yung-Hsiang
  • Liang, Zheng-Xian

Abstract

The present study examines the location of emergency rescue problems for urban ambulance and railway emergency systems. The proposed model considers probabilistic rescue demand, independent busy fractions of ambulances, and the corresponding risk levels in railway segments. We formulate the proposed model using fuzzy multi-objective programming and solve it using a generic algorithm and a non-dominated sorting genetic algorithm-II. Computation results are analyzed by applying the model to a real-world Taiwan railway system. Analytical results demonstrate that a proper adjustment of the rescue resource location improves rescue effectiveness for railway rescue and urban medical service demand.

Suggested Citation

  • Cheng, Yung-Hsiang & Liang, Zheng-Xian, 2014. "A strategic planning model for the railway system accident rescue problem," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 69(C), pages 75-96.
    • Handle: RePEc:eee:transe:v:69:y:2014:i:c:p:75-96
    DOI: 10.1016/j.tre.2014.06.005
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    2. Huizhu Wang & Jianqin Zhou & Ling Zhou, 2024. "A Lattice Boltzmann Method-like Algorithm for the Maximal Covering Location Problem on the Complex Network: Application to Location of Railway Emergency-Rescue Spot," Mathematics, MDPI, vol. 12(2), pages 1-20, January.
    3. Wu, Shanhua & Yang, Zhongzhen, 2018. "Locating manufacturing industries by flow-capturing location model – Case of Chinese steel industry," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 112(C), pages 1-11.
    4. ShuJie Liao & Haiting Tu & Cheng Hu & Wulin Pan & Jianwu Xiong & Dongyang Yu & Lei Jing & Wei Pan, 2019. "Fuzzy multi-objective medical service organization selection model considering limited resources and stochastic demand in emergency management," PLOS ONE, Public Library of Science, vol. 14(3), pages 1-15, March.
    5. Huizhu Wang & Jianqin Zhou, 2023. "Location of Railway Emergency Rescue Spots Based on a Near-Full Covering Problem: From a Perspective of Diverse Scenarios," Sustainability, MDPI, vol. 15(8), pages 1-16, April.
    6. Zhao, Xian & Lv, Zuheng & Qiu, Qingan & Wu, Yaguang, 2023. "Designing two-level rescue depot location and dynamic rescue policies for unmanned vehicles," Reliability Engineering and System Safety, Elsevier, vol. 233(C).
    7. Canca, David & Barrena, Eva, 2018. "The integrated rolling stock circulation and depot location problem in railway rapid transit systems," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 109(C), pages 115-138.
    8. Jie Cao & He Han & Yi-Ping Jiang & Ya-Jing Wang, 2018. "Emergency Rescue Vehicle Dispatch Planning Using a Hybrid Algorithm," International Journal of Information Technology & Decision Making (IJITDM), World Scientific Publishing Co. Pte. Ltd., vol. 17(06), pages 1865-1890, November.
    9. Mohri, Seyed Sina & Akbarzadeh, Meisam & Sayed Matin, Seyed Hamed, 2020. "A Hybrid model for locating new emergency facilities to improve the coverage of the road crashes," Socio-Economic Planning Sciences, Elsevier, vol. 69(C).
    10. Jing Zuo & Mengxing Shang & Jianwu Dang, 2022. "Research on the Optimization Model of Railway Emergency Rescue Network Considering Space-Time Accessibility," Sustainability, MDPI, vol. 14(21), pages 1-14, November.
    11. Kundu, Tanmoy & Sheu, Jiuh-Biing & Kuo, Hsin-Tsz, 2022. "Emergency logistics management—Review and propositions for future research," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 164(C).

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