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Pedestrian–bus route and pickup location planning for emergency evacuation

    Weike Lu Affiliation
    ; Feng Wang Affiliation
    ; Lan Liu Affiliation
    ; Guojing Hu Affiliation
    ; Jiannan Mao Affiliation

Abstract

Planning for a bus-based regional evacuation is essential for emergency preparedness, especially for hurricane or flood prone urban environments with large numbers of transit-dependent or transit-captive populations. This paper develops an optimization-based decision-support model for pedestrian–bus evacuation planning under bus fleet, pedestrian and bus routes, and network constraints. Aiming to minimize the evacuation duration time, an optimization model is proposed to determine the optimal pickup nodes for evacuees to assemble using existing pedestrian routes, and to allocate available bus fleet via bus routes and urban road network to transport the assembled evacuees between the pickup nodes and designated public shelters. The numerical examples with two scenarios based on the Sioux Falls street network from North Dakota (United States) demonstrates that this model can be used to optimize the evacuation duration time, the location of pickup nodes and bus assignment simultaneously.


First published online 13 October 2020

Keyword : emergency evacuation, pedestrian–bus network, pickup location optimization, bus resource constraint, safety shelters, evacuation duration time

How to Cite
Lu, W., Wang, F., Liu, L., Hu, G., & Mao, J. (2021). Pedestrian–bus route and pickup location planning for emergency evacuation. Transport, 36(2), 176-184. https://doi.org/10.3846/transport.2020.13674
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Jun 22, 2021
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This work is licensed under a Creative Commons Attribution 4.0 International License.

References

Bish, D. R. 2011. Planning for a bus-based evacuation, OR spectrum 33(3): 629–654. https://doi.org/10.1007/s00291-011-0256-1

CCTV. 2017. A power supply failure happens in Shang metro, CCTV News 14 April 2017. Available from Internet: http://news.cctv.com/2017/04/14/ARTI3Bj1nhIeJ6chNAU-waSO1170414.shtml (in Chinese).

Chen, C.-C.; Chou, C.-S. 2009. Modeling and performance assessment of a transit-based evacuation plan within a contraflow simulation environment, Transportation Research Record: Journal of the Transportation Research Board 2091: 40–50. https://doi.org/10.3141/2091-05

Dikas, G.; Minis, I. 2016. Solving the bus evacuation problem and its variants, Computers & Operations Research 70: 75–86. https://doi.org/10.1016/j.cor.2015.12.012

Elmitiny, N.; Ramasamy, S.; Radwan, E. 2007. Emergency evacuation planning and preparedness of transit facilities: traffic simulation modeling, Transportation Research Record: Journal of the Transportation Research Board 1992: 121–126. https://doi.org/10.3141/1992-14

Feng, L.; Miller-Hooks, E. 2014. A network optimization-based approach for crowd management in large public gatherings, Transportation Research Part C: Emerging Technologies 42: 182–199. https://doi.org/10.1016/j.trc.2014.01.017

Goerigk, M.; Deghdak, K.; T’Kindt, V. 2015. A two-stage robustness approach to evacuation planning with buses, Transportation Research Part B: Methodological 78: 66–82. https://doi.org/10.1016/j.trb.2015.04.008

Hanna, J. 2017. The London train explosion is the latest of 5 terror incidents in 2017 in the UK, CNN News 15 September 2017. Available from Internet: https://edition.cnn.com/2017/09/15/world/uk-terror-events-2017/index.html

He, S.; Zhang, L.; Song, R.; Wen, Y.; Wu, D. 2009. Optimal transit routing problem for emergency evacuations, in TRB 88th Annual Meeting Compendium of Papers DVD, 11–15 January 2009, Washington, DC, US. 13 p.

Henderson, B.; Foster, P. 2017. Brussels station blast: suspect ‘wearing explosive belt’ shot dead by troops, The Telegraph 21 June 2017. Available from Internet: https://www.telegraph.co.uk/news/2017/06/20/traffic-halted-brussels-small-explosion-central-train-station/

Heydar, M.; Yu, J.; Liu, Y.; Petering, M. E. H. 2016. Strategic evacuation planning with pedestrian guidance and bus routing: a mixed integer programming model and heuristic solution, Journal of Advanced Transportation 50(7): 1314–1335. https://doi.org/10.1002/atr.1403

Kaisar, E. I.; Hess, L.; Portal Palomo, A. B. 2012. An emergency evacuation planning model for special needs populations using public transit systems, Journal of Public Transportation 15(2): 45–69. http://doi.org/10.5038/2375-0901.15.2.3

Kulshrestha, A.; Lou, Y.; Yin, Y. 2014. Pick‐up locations and bus allocation for transit‐based evacuation planning with demand uncertainty, Journal of Advanced Transportation 48(7): 721–733. https://doi.org/10.1002/atr.1221

Lawphongpanich, S.; Hearn, D. W. 2004. An MPEC approach to second-best toll pricing, Mathematical Programming 101(1): 33–55. https://doi.org/10.1007/s10107-004-0536-5

Li, G.; Zhang, L.; Wang, Z. 2014. Optimization and planning of emergency evacuation routes considering traffic control, The Scientific World Journal 2014: 164031. http://doi.org/10.1155/2014/164031

Liu, J.; Zhou, X. 2016. Capacitated transit service network design with boundedly rational agents, Transportation Research Part B: Methodological 93: 225–250. https://doi.org/10.1016/j.trb.2016.07.015

Liu, Y.; Yu, J. 2012. Emergency evacuation planning for highly populated urban zones: a transit-based solution and optimal operational strategies, in B. Eksioglu (Ed.). Emergency Management, 59–74. https://doi.org/10.5772/33653

Lownes, N. E.; Wang, Q.; Ibrahim, S.; Ammar, R. A.; Rajasekaran, S.; Sharma, D. 2011. Many-to-many game-theoretic approach for the measurement of transportation network vulnerability, Transportation Research Record: Journal of the Transportation Research Board 2263: 1–8. https://doi.org/10.3141/2263-01

Murray-Tuite, P.; Wolshon, B. 2013. Evacuation transportation modeling: an overview of research, development, and practice, Transportation Research Part C: Emerging Technologies 27: 25–45. https://doi.org/10.1016/j.trc.2012.11.005

Naghawi, H.; Wolshon, B. 2011. Performance of multi-modal evacuation traffic networks: a simulation based assessment, in TRB 90th Annual Meeting Compendium of Papers DVD, 23–27 January 2011, Washington, DC, US. 21 p.

Swamy, R.; Kang, J. E.; Batta, R.; Chung, Y. 2017. Hurricane evacuation planning using public transportation, Socio-Economic Planning Sciences 59: 43–55. https://doi.org/10.1016/j.seps.2016.10.009

Tong, L.; Zhou, X.; Miller, H. J. 2015. Transportation network design for maximizing space–time accessibility, Transportation Research Part B: Methodological 81(2): 555–576. https://doi.org/10.1016/j.trb.2015.08.002

Zhang, X.; Chang, G. L. 2014. An optimization model for guiding pedestrian–vehicle mixed flows during an emergency evacuation, Journal of Intelligent Transportation Systems: Technology, Planning, and Operations 18(3): 273–285. https://doi.org/10.1080/15472450.2013.824763