lynx   »   [go: up one dir, main page]
IDEAS home Printed from https://ideas.repec.org/a/spr/nathaz/v59y2011i1p167-189.html
   My bibliography  Save this article

An agent-based model for risk-based flood incident management

Author

Listed:
Abstract
Effective flood incident management (FIM) requires successful operation of complex, interacting human and technological systems. A dynamic agent-based model of FIM processes has been developed to provide new insights which can be used for policy analysis and other practical applications. The model integrates remotely sensed information on topography, buildings and road networks with empirical survey data to fit characteristics of specific communities. The multiagent simulation has been coupled with a hydrodynamic model to estimate the vulnerability of individuals to flooding under different storm surge conditions, defence breach scenarios, flood warning times and evacuation strategies. A case study in the coastal town of Towyn in the United Kingdom has demonstrated the capacity of the model to analyse the risks of flooding to people, support flood emergency planning and appraise the benefits of flood incident management measures. Copyright Springer Science+Business Media B.V. 2011

Suggested Citation

  • Richard Dawson & Roger Peppe & Miao Wang, 2011. "An agent-based model for risk-based flood incident management," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 59(1), pages 167-189, October.
    • Handle: RePEc:spr:nathaz:v:59:y:2011:i:1:p:167-189
    DOI: 10.1007/s11069-011-9745-4
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1007/s11069-011-9745-4
    Download Restriction: Access to full text is restricted to subscribers.
    File URL: https://libkey.io/10.1007/s11069-011-9745-4?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Dirk Helbing & Illés Farkas & Tamás Vicsek, 2000. "Simulating dynamical features of escape panic," Nature, Nature, vol. 407(6803), pages 487-490, September.
    2. Dennis Parker & Sue Tapsell & Simon McCarthy, 2007. "Enhancing the human benefits of flood warnings," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 43(3), pages 397-414, December.
    3. Slobodan Simonovic & Sajjad Ahmad, 2005. "Computer-based Model for Flood Evacuation Emergency Planning," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 34(1), pages 25-51, January.
    4. S. Jonkman & J. Vrijling & A. Vrouwenvelder, 2008. "Methods for the estimation of loss of life due to floods: a literature review and a proposal for a new method," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 46(3), pages 353-389, September.
    Full references (including those not matched with items on IDEAS)

    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. Zhenqiang Wang & Gaofeng Jia, 2021. "A novel agent-based model for tsunami evacuation simulation and risk assessment," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 105(2), pages 2045-2071, January.
    2. Marcel Favereau & Luis F. Robledo & María T. Bull, 2020. "Homeostatic representation for risk decision making: a novel multi-method simulation approach for evacuation under volcanic eruption," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 103(1), pages 29-56, August.
    3. Sajjad Ahmad & Slobodan Simonovic, 2006. "An Intelligent Decision Support System for Management of Floods," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 20(3), pages 391-410, June.
    4. Manuela Mauro & Karin Bruijn & Matteo Meloni, 2012. "Quantitative methods for estimating flood fatalities: towards the introduction of loss-of-life estimation in the assessment of flood risk," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 63(2), pages 1083-1113, September.
    5. Stock, Eduardo Velasco & da Silva, Roberto, 2023. "Lattice gas model to describe a nightclub dynamics," Chaos, Solitons & Fractals, Elsevier, vol. 168(C).
    6. Ebrahim Ahmadisharaf & Alfred Kalyanapu & Eun-Sung Chung, 2015. "Evaluating the Effects of Inundation Duration and Velocity on Selection of Flood Management Alternatives Using Multi-Criteria Decision Making," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 29(8), pages 2543-2561, June.
    7. George R. Priest & Laura L. Stimely & Nathan J. Wood & Ian P. Madin & Rudie J. Watzig, 2016. "Beat-the-wave evacuation mapping for tsunami hazards in Seaside, Oregon, USA," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 80(2), pages 1031-1056, January.
    8. Varas, A. & Cornejo, M.D. & Mainemer, D. & Toledo, B. & Rogan, J. & Muñoz, V. & Valdivia, J.A., 2007. "Cellular automaton model for evacuation process with obstacles," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 382(2), pages 631-642.
    9. Murilo S Baptista & Hai-Peng Ren & Johen C M Swarts & Rodrigo Carareto & Henk Nijmeijer & Celso Grebogi, 2012. "Collective Almost Synchronisation in Complex Networks," PLOS ONE, Public Library of Science, vol. 7(11), pages 1-11, November.
    10. Xianing Wang & Zhan Zhang & Ying Wang & Jun Yang & Linjun Lu, 2022. "A Study on Safety Evaluation of Pedestrian Flows Based on Partial Impact Dynamics by Real-Time Data in Subway Stations," Sustainability, MDPI, vol. 14(16), pages 1-19, August.
    11. Chen, Changkun & Sun, Huakai & Lei, Peng & Zhao, Dongyue & Shi, Congling, 2021. "An extended model for crowd evacuation considering pedestrian panic in artificial attack," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 571(C).
    12. Michael Batty & Jake Desyllas & Elspeth Duxbury, 2003. "Safety in Numbers? Modelling Crowds and Designing Control for the Notting Hill Carnival," Urban Studies, Urban Studies Journal Limited, vol. 40(8), pages 1573-1590, July.
    13. Ma, Jian & Song, Wei-guo & Zhang, Jun & Lo, Siu-ming & Liao, Guang-xuan, 2010. "k-Nearest-Neighbor interaction induced self-organized pedestrian counter flow," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 389(10), pages 2101-2117.
    14. Illés J Farkas & Shuohong Wang, 2018. "Spatial flocking: Control by speed, distance, noise and delay," PLOS ONE, Public Library of Science, vol. 13(5), pages 1-12, May.
    15. Zheng, Yaochen & Chen, Jianqiao & Wei, Junhong & Guo, Xiwei, 2012. "Modeling of pedestrian evacuation based on the particle swarm optimization algorithm," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 391(17), pages 4225-4233.
    16. Yue, Hao & Zhang, Junyao & Chen, Wenxin & Wu, Xinsen & Zhang, Xu & Shao, Chunfu, 2021. "Simulation of the influence of spatial obstacles on evacuation pedestrian flow in walking facilities," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 571(C).
    17. Ross Gudde & Yi He & Ulysse Pasquier & Nicole Forstenhäusler & Ciar Noble & Qianyu Zha, 2024. "Quantifying future changes of flood hazards within the Broadland catchment in the UK," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 120(11), pages 9893-9915, September.
    18. Sungryong Bae & Jun-Ho Choi & Hong Sun Ryou, 2020. "Modification of Interaction Forces between Smoke and Evacuees," Energies, MDPI, vol. 13(16), pages 1-10, August.
    19. Nathan Wood & Mathew Schmidtlein, 2013. "Community variations in population exposure to near-field tsunami hazards as a function of pedestrian travel time to safety," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 65(3), pages 1603-1628, February.
    20. R. Jelínek & E. Krausmann & M. González & J. Álvarez-Gómez & J. Birkmann & T. Welle, 2012. "Approaches for tsunami risk assessment and application to the city of Cádiz, Spain," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 60(2), pages 273-293, January.

    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:spr:nathaz:v:59:y:2011:i:1:p:167-189. 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: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    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.
    Лучший частный хостинг