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Optimal building evacuation time considering evacuation routes

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  • Pursals, Salvador Casadesús
  • Garzón, Federico Garriga

Abstract

The main purpose of this work is to present a formulation of the building evacuation problem that incorporates evacuation routes and applies the functions developed by Nelson and McLennan [H.E. Nelson, H.A. McLennan (Eds.), Emergency Movement, The SFPE Handbook of Fire Protection Engineering, 1996, pp. 3.286-3.295 (Section 3/Chapter 14)] to model the movement of people. These considerations lead to significant changes in the form of the evacuation and inverse evacuation functions, so it is necessary to develop a new procedure for solving the building evacuation problem.

Suggested Citation

  • Pursals, Salvador Casadesús & Garzón, Federico Garriga, 2009. "Optimal building evacuation time considering evacuation routes," European Journal of Operational Research, Elsevier, vol. 192(2), pages 692-699, January.
  • Handle: RePEc:eee:ejores:v:192:y:2009:i:2:p:692-699
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    References listed on IDEAS

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    Cited by:

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    3. Jianghua Zhang & Yang Liu & Yingxue Zhao & Tianhu Deng, 2020. "Emergency evacuation problem for a multi-source and multi-destination transportation network: mathematical model and case study," Annals of Operations Research, Springer, vol. 291(1), pages 1153-1181, August.
    4. Guo, Ren-Yong & Huang, Hai-Jun & Wong, S.C., 2011. "Collection, spillback, and dissipation in pedestrian evacuation: A network-based method," Transportation Research Part B: Methodological, Elsevier, vol. 45(3), pages 490-506, March.
    5. 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.
    6. Fang, Zhixiang & Zong, Xinlu & Li, Qingquan & Li, Qiuping & Xiong, Shengwu, 2011. "Hierarchical multi-objective evacuation routing in stadium using ant colony optimization approach," Journal of Transport Geography, Elsevier, vol. 19(3), pages 443-451.
    7. Saadatseresht, Mohammad & Mansourian, Ali & Taleai, Mohammad, 2009. "Evacuation planning using multiobjective evolutionary optimization approach," European Journal of Operational Research, Elsevier, vol. 198(1), pages 305-314, October.
    8. Guo, Ren-Yong, 2014. "New insights into discretization effects in cellular automata models for pedestrian evacuation," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 400(C), pages 1-11.
    9. Abdelghany, Ahmed & Abdelghany, Khaled & Mahmassani, Hani & Alhalabi, Wael, 2014. "Modeling framework for optimal evacuation of large-scale crowded pedestrian facilities," European Journal of Operational Research, Elsevier, vol. 237(3), pages 1105-1118.
    10. Haghani, Milad & Sarvi, Majid, 2019. "Laboratory experimentation and simulation of discrete direction choices: Investigating hypothetical bias, decision-rule effect and external validity based on aggregate prediction measures," Transportation Research Part A: Policy and Practice, Elsevier, vol. 130(C), pages 134-157.
    11. Cruz, F.R.B. & van Woensel, T. & MacGregor Smith, J. & Lieckens, K., 2010. "On the system optimum of traffic assignment in M/G/c/c state-dependent queueing networks," European Journal of Operational Research, Elsevier, vol. 201(1), pages 183-193, February.
    12. Jiang-Hua Zhang & Hai-Yue Liu & Rui Zhu & Yang Liu, 2017. "Emergency Evacuation of Hazardous Chemical Accidents Based on Diffusion Simulation," Complexity, Hindawi, vol. 2017, pages 1-16, December.
    13. Li Liu & Huan Jin & Yangguang Liu & Xiaomin Zhang, 2022. "Intelligent Evacuation Route Planning Algorithm Based on Maximum Flow," IJERPH, MDPI, vol. 19(13), pages 1-14, June.
    14. Kerly Castro-Basurto & Freddy Jijon-Veliz & Washington Medina & Washington Velasquez, 2021. "Outside Dynamic Evacuation Routes to Escape a Wildfire: A Prototype App for Forest Firefighters," Sustainability, MDPI, vol. 13(13), pages 1-16, June.

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