IDEAS home Printed from https://ideas.repec.org/p/cdl/uctcwp/qt5257005q.html
   My bibliography  Save this paper

Managing City Evacuations

Author

Listed:
  • So, Stella Kin-Mang

Abstract

The city evacuation problem is analyzed physically at the freeway and network levels. On a freeway, a macroscopic approach is used to identify the critical bottlenecks that determine the system’s evacuation capacity. Knowledge of these bottlenecks leads to the development of an input control strategy that maximizes exit flows at all times, effectively minimizing total evacuation time. The optimality results are true for the complete system and for “population nests”. The strategy, called innermost first out (InFO), has many other benefits: it is decentralized, adaptive and robust. Additionally, since the strategy gives priority to upstream, most-at-risk residents, InFO is likely to be socially acceptable. Finally, relaxed versions of the strategy exist, giving flexibility to freeway evacuation management. At the network level, a tree-shaped topology allows for similar results to be obtained. Specifically, a tree-based innermost first out (T-InFO) strategy is developed, combining InFO with an intuitive routing scheme. It is shown that if a reasonable driver adaptive behavior can be assumed for the local access streets, then T-InFO maximizes exit flows and minimizes evacuation time for population nests and therefore the complete system. Similar to InFO, T-InFO has the following benefits when implemented in a tree-shaped network: decentralization, adaptiveness, robustness, and social optimality. Due to these reasons, the strategies proposed in this dissertation have the potential to greatly improve current traffic management practices in emergency evacuations.

Suggested Citation

  • So, Stella Kin-Mang, 2010. "Managing City Evacuations," University of California Transportation Center, Working Papers qt5257005q, University of California Transportation Center.
    • Handle: RePEc:cdl:uctcwp:qt5257005q
    as

    Download full text from publisher

    File URL: https://www.escholarship.org/uc/item/5257005q.pdf;origin=repeccitec
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Sherali, Hanif D. & Carter, Todd B. & Hobeika, Antoine G., 1991. "A location-allocation model and algorithm for evacuation planning under hurricane/flood conditions," Transportation Research Part B: Methodological, Elsevier, vol. 25(6), pages 439-452, December.
    2. Paul I. Richards, 1956. "Shock Waves on the Highway," Operations Research, INFORMS, vol. 4(1), pages 42-51, February.
    3. Lovell, David J. & Daganzo, Carlos F., 2000. "Access control on networks with unique origin-destination paths," Transportation Research Part B: Methodological, Elsevier, vol. 34(3), pages 185-202, April.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Daganzo, Carlos F. & So, Stella K., 2011. "Managing evacuation networks," Transportation Research Part B: Methodological, Elsevier, vol. 45(9), pages 1424-1432.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. So, Stella Kin-Mang, 2010. "Managing City Evacuations," University of California Transportation Center, Working Papers qt23w302h9, University of California Transportation Center.
    2. Chou, Chang-Chi & Chiang, Wen-Chu & Chen, Albert Y., 2022. "Emergency medical response in mass casualty incidents considering the traffic congestions in proximity on-site and hospital delays," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 158(C).
    3. Daganzo, Carlos F. & So, Stella K., 2011. "Managing evacuation networks," Transportation Research Part B: Methodological, Elsevier, vol. 45(9), pages 1424-1432.
    4. Xiaozheng He & Srinivas Peeta, 2014. "Dynamic Resource Allocation Problem for Transportation Network Evacuation," Networks and Spatial Economics, Springer, vol. 14(3), pages 505-530, December.
    5. So, Stella K. & Daganzo, Carlos F., 2009. "Managing Evacuation Routes," Institute of Transportation Studies, Research Reports, Working Papers, Proceedings qt75d4j8fm, Institute of Transportation Studies, UC Berkeley.
    6. Gomes, Gabriel C., 2004. "Optimization and Microsimulation of On-ramp Metering for Congested Freeways," Institute of Transportation Studies, Research Reports, Working Papers, Proceedings qt95k1q411, Institute of Transportation Studies, UC Berkeley.
    7. So, Stella K. & Daganzo, Carlos F., 2010. "Managing evacuation routes," Transportation Research Part B: Methodological, Elsevier, vol. 44(4), pages 514-520, May.
    8. Soulaymane Kachani & Georgia Perakis, 2009. "A Dynamic Travel Time Model for Spillback," Networks and Spatial Economics, Springer, vol. 9(4), pages 595-618, December.
    9. Xu, Guanhao & Gayah, Vikash V., 2023. "Non-unimodal and non-concave relationships in the network Macroscopic Fundamental Diagram caused by hierarchical streets," Transportation Research Part B: Methodological, Elsevier, vol. 173(C), pages 203-227.
    10. Bai, Lu & Wong, S.C. & Xu, Pengpeng & Chow, Andy H.F. & Lam, William H.K., 2021. "Calibration of stochastic link-based fundamental diagram with explicit consideration of speed heterogeneity," Transportation Research Part B: Methodological, Elsevier, vol. 150(C), pages 524-539.
    11. Du, Jinxiao & Ma, Wei, 2024. "Maximin headway control of automated vehicles for system optimal dynamic traffic assignment in general networks," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 188(C).
    12. Souza, Juliano Silva & Lim-Apo, Flávio Araújo & Varella, Leonardo & Coelho, Antônio Sérgio & Souza, João Carlos, 2022. "Multi-period optimization model for planning people allocation in shelters and distributing aid with special constraints," Socio-Economic Planning Sciences, Elsevier, vol. 79(C).
    13. Duong Viet Thong & Aviv Gibali & Mathias Staudigl & Phan Tu Vuong, 2021. "Computing Dynamic User Equilibrium on Large-Scale Networks Without Knowing Global Parameters," Networks and Spatial Economics, Springer, vol. 21(3), pages 735-768, September.
    14. Seo, Toru & Kawasaki, Yutaka & Kusakabe, Takahiko & Asakura, Yasuo, 2019. "Fundamental diagram estimation by using trajectories of probe vehicles," Transportation Research Part B: Methodological, Elsevier, vol. 122(C), pages 40-56.
    15. McCrea, Jennifer & Moutari, Salissou, 2010. "A hybrid macroscopic-based model for traffic flow in road networks," European Journal of Operational Research, Elsevier, vol. 207(2), pages 676-684, December.
    16. Coifman, Benjamin A. & Mallika, Ramachandran, 2007. "Distributed surveillance on freeways emphasizing incident detection and verification," Transportation Research Part A: Policy and Practice, Elsevier, vol. 41(8), pages 750-767, October.
    17. A. Anaya-Arenas & J. Renaud & A. Ruiz, 2014. "Relief distribution networks: a systematic review," Annals of Operations Research, Springer, vol. 223(1), pages 53-79, December.
    18. Firas Rifai, 2018. "Transfer of Knowhow and Experiences from Commercial Logistics into Humanitarian Logistics to Improve Rescue Missions in Disaster Areas," Journal of Management and Sustainability, Canadian Center of Science and Education, vol. 8(3), pages 1-63, August.
    19. Knoop, Victor L. & Snelder, Maaike & van Zuylen, Henk J. & Hoogendoorn, Serge P., 2012. "Link-level vulnerability indicators for real-world networks," Transportation Research Part A: Policy and Practice, Elsevier, vol. 46(5), pages 843-854.
    20. Xingmin Wang & Zachary Jerome & Zihao Wang & Chenhao Zhang & Shengyin Shen & Vivek Vijaya Kumar & Fan Bai & Paul Krajewski & Danielle Deneau & Ahmad Jawad & Rachel Jones & Gary Piotrowicz & Henry X. L, 2024. "Traffic light optimization with low penetration rate vehicle trajectory data," Nature Communications, Nature, vol. 15(1), pages 1-14, December.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:cdl:uctcwp:qt5257005q. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Lisa Schiff (email available below). General contact details of provider: https://edirc.repec.org/data/itucbus.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.