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A Two-Stage Process for Emergency Evacuation Planning: Shelter Assignment and Routing

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Computational Urban Planning and Management for Smart Cities (CUPUM 2019)

Part of the book series: Lecture Notes in Geoinformation and Cartography ((LNGC))

Abstract

With the rapid growth of population and volume of urban flows, cities have become more vulnerable to uneven natural and man-made disasters. In this chapter, we applied a two-stage approach to first find the most appropriate sites for shelters based on the multi-criteria decision-making (MCDM) technique, then an algorithm for determining the best routes of evacuation under an emergency situation was examined. Two well-known scenarios Capacity-Aware Shortest Path Evacuation Routing (CASPER) and the Shortest Path (SP) were applied, then the results were compared together. The CASPER scenario, based on the navigation time and traffic volume of the network, required a longer navigation distance than the SP scenario, although it considered road capacity and the volume of traffic, in conjunction with the minimization of total evacuation time . The case study of research was the City of Sadra, a new town in southern Iran , in the Middle East.

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References

  • Alabdouli K (2015) Tsunami evacuation: using GIS to integrate behavioral and vulnerability data with transportation modelling. The Florida State University

    Google Scholar 

  • Calabrese A, Costa R, Levialdi N, Menichini T (2016) A fuzzy analytic hierarchy process method to support materiality assessment in sustainability reporting. J Clean Prod 121:248–264

    Article  Google Scholar 

  • Chen W, Zhai G, Ren C, Shi Y, Zhang J (2018) Urban resources selection and allocation for emergency shelters: in a multi-hazard environment. Int J Environ Res Public Health 15(6):1261

    Article  Google Scholar 

  • Chang H-S, Liao C-H (2015) Planning emergency shelter locations based on evacuation behavior. Nat Hazards 76(3):1551–1571

    Article  Google Scholar 

  • Choi J-H, Kang I-J, King S-S (2012) Study on the selection of the tsunami shelter using AHP and GIS analysis. J Korean Soc Surv Geodesy Photogram Cartogr 30(6_1):503–509

    Article  Google Scholar 

  • Chu J, Su Y (2012) The application of TOPSIS method in selecting fixed seismic shelter for evacuation in cities. Syst Eng Proc 3:391–397

    Article  Google Scholar 

  • Cova TJ (1999) GIS in emergency management. Geogr Inf Syst 2:845–858

    Google Scholar 

  • Cova TJ, Johnson JP (2003) A network flow model for lane-based evacuation routing. Transp Res Part A: Policy Pract 37(7):579–604

    Google Scholar 

  • ESRI (2018) ArcGIS for desktop

    Google Scholar 

  • FEMA (1990) Definitions of rerms. FEMA. Federal Emergency Management Agency. Instruction Number 5000.2

    Google Scholar 

  • Ghajari YE, Alesheikh AA, Modiri M, Hosnavi R, Abbasi M, Sharifi A (2018) Urban vulnerability under various blast loading scenarios: analysis using GIS-based multi-criteria decision analysis techniques. Cities 72:102–114

    Article  Google Scholar 

  • Goerigk M, Deghdak K, Heßler P (2014) A comprehensive evacuation planning model and genetic solution algorithm. Trans Res Part E: Logistics Transp Rev 71:82–97

    Article  Google Scholar 

  • Guo R-Y, Huang H-J, Wong S (2012) Route choice in pedestrian evacuation under conditions of good and zero visibility: experimental and simulation results. Transp Res Part B: Methodol 46(6):669–686

    Article  Google Scholar 

  • Hamilton J (2008) Mass evacuation planning. Director’s Guidelines for Civil Defence Emergency Management (CDEM) Groups [DGL 07/08], Ministry of Civil Defence & Emergency Management

    Google Scholar 

  • Harris JB, Gregg C, Joyner TA, Luffman I (2015) Preparing a small town for a hazardous materials incident: an examination of evacuation routing algorithms and plume models. Int J Geospatial Environ Res 2(1):5

    Google Scholar 

  • Hasan S, Mesa-Arango R, Ukkusuri S (2013) A random-parameter hazard-based model to understand household evacuation timing behavior. Transp Res Part C: Emerg Technol 27:108–116

    Article  Google Scholar 

  • Hernández R, José G, García G, María J, Hernández G, Gilberto J (2015) Shelter selection with AHP making use of the ideal alternative. Encyclopedia of information science and technology, 3rd edn. IGI Global, Hershey, pp 2003–2015

    Chapter  Google Scholar 

  • Hou L, Liu J-G, Pan X, Wang B-H (2014) A social force evacuation model with the leadership effect. Physica A 400:93–99

    Article  Google Scholar 

  • Kılcı F, Kara BY, Bozkaya B (2015) Locating temporary shelter areas after an earthquake: a case for Turkey. Eur J Oper Res 243(1):323–332

    Article  Google Scholar 

  • Lim H Jr, Lim MB, Piantanakulchai M (2013) A review of recent studies on flood evacuation planning. J Eastern Asia Soc Transp Stud 10:147–162

    Google Scholar 

  • Lindell MK, Prater CS (2007) Critical behavioral assumptions in evacuation time estimate analysis for private vehicles: Examples from hurricane research and planning. J Urban Plan Dev 133(1):18–29

    Article  Google Scholar 

  • Liu Q, Ruan X, Shi P (2011) Selection of emergency shelter sites for seismic disasters in mountainous regions: lessons from the 2008 Wenchuan Ms 8.0 Earthquake, China. J Asian Earth Sci 40(4):926–934

    Article  Google Scholar 

  • Liu X, Lim S (2015) A spatial analysis approach to evacuation management: shelter assignment and routing. Research@ Locate, Brisbane, Australia

    Google Scholar 

  • Lu L, Chan C-Y, Wang J, Wang W (2017) A study of pedestrian group behaviors in crowd evacuation based on an extended floor field cellular automaton model. Transp Res Part C: Emerg Technol 81:317–329

    Article  Google Scholar 

  • Ma Y, Yuen RKK, Lee EWM (2016) Effective leadership for crowd evacuation. Phys A 450:333–341

    Article  Google Scholar 

  • Malczewski J (1999) GIS and multicriteria decision analysis. Wiley, New York

    Google Scholar 

  • Mansourian A, Rajabifard A, Zoej MV, Williamson I (2006) Using SDI and web-based system to facilitate disaster management. Comput Geosci 32(3):303–315

    Article  Google Scholar 

  • Saadatseresht M, Mansourian A, Taleai M (2009) Evacuation planning using multiobjective evolutionary optimization approach. Eur J Oper Res 198(1):305–314

    Article  Google Scholar 

  • Saeed Osman M, Ram B (2012) Application of static uncapacitated multi-commodity flow models to dynamic capacity-constrained evacuation path networks. In: Proceedings of the 2012 International Conference on Industrial Engineering and Operations Management Istanbul, Turkey, July 3–6, 2012

    Google Scholar 

  • Santos G, Aguirre BE (2004) A critical review of emergency evacuation simulation models. Preliminary Paper #339, Disaster Research Center, University of Delaware. http://udspace.udel.edu/handle/19716/299

  • Shahabi K, Wilson JP (2014) CASPER: intelligent capacity-aware evacuation routing. Comput Environ Urban Syst 46:12–24

    Article  Google Scholar 

  • Shahabi K, Wilson JP (2018) Scalable evacuation routing in a dynamic environment. Comput Environ Urban Syst 67:29–40

    Article  Google Scholar 

  • Soltani A, Marandi EZ (2011) Hospital site selection using two-stage fuzzy multi-criteria decision making process. J Urban Environ Eng 5(1):32–43

    Article  Google Scholar 

  • Sorensen JH, Shumpert BL, Vogt BM (2004) Planning for protective action decision making: evacuate or shelter-in-place. J Hazard Mater 109(1–3):1–11

    Article  Google Scholar 

  • Stepanov A, Smith JM (2009) Multi-objective evacuation routing in transportation networks. Eur J Oper Res 198(2):435–446

    Article  Google Scholar 

  • Tan L, Hu M, Lin H (2015) Agent-based simulation of building evacuation: combining human behavior with predictable spatial accessibility in a fire emergency. Inf Sci 295:53–66

    Article  Google Scholar 

  • Tanachawengsakul T, Mishima N, Fuchikami T (2016) A simulation study on fire evacuation routes in primary stage for a historic canal residential area. Proc-Soc Behav Sci 216:492–502

    Article  Google Scholar 

  • Trainor JE, Murray-Tuite P, Edara P, Fallah-Fini S, Triantis K (2012) Interdisciplinary approach to evacuation modeling. Nat Hazards Rev 14(3):151–162

    Article  Google Scholar 

  • Trivedi A, Singh A (2017) Prioritizing emergency shelter areas using hybrid multi-criteria decision approach: a case study. J Multi-Criteria Decis Anal 24(3–4):133–145

    Article  Google Scholar 

  • Wang Z, Zlatanova S, Moreno A, Van Oosterom P, Toro C (2014) A data model for route planning in the case of forest fires. Comput Geosci 68:1–10

    Article  Google Scholar 

  • Widener MJ, Horner MW (2011) A hierarchical approach to modelling hurricane disaster relief goods distribution. J Transp Geogr 19(4):821–828

    Article  Google Scholar 

  • Wilmot CG, Meduri N (2005) Methodology to establish hurricane evacuation zones. Transp Res Rec 1922(1):129–137

    Article  Google Scholar 

  • Xu X, Zhang L, Sotiriadis S, Asimakopoulou E, Li M, Bessis N (2018) CLOTHO: a large-scale internet of things based crowd evacuation planning system for disaster management. IEEE Internet of Things Journal

    Google Scholar 

  • Zhang Z, Parr SA, Jiang H, Wolshon B (2015) Optimization model for regional evacuation transportation system using macroscopic productivity function. Transp Res Part B: Methodol 81:616–630

    Article  Google Scholar 

  • Zhao X, Xu W, Ma Y, Hu F (2015) Scenario-based multi-objective optimum allocation model for earthquake emergency shelters using a modified particle swarm optimization algorithm: a case study in Chaoyang District, Beijing, China. PloS one 10(12):e0144455

    Article  Google Scholar 

  • Zhao X, Xu W, Ma Y, Qin L, Zhang J, Wang Y (2017) Relationships between evacuation population size, earthquake emergency shelter capacity, and evacuation. Int J Disaster Risk Sci 8(4):457–470

    Article  Google Scholar 

  • Zografos KG, Androutsopoulos KN (2008) A decision support system for integrated hazardous materials and emergency response decisions. Transp Res Part C: Emerg Technol 16(6):684–703

    Article  Google Scholar 

  • Zong X, Xiong S, Fang Z (2014) A conflict-congestion model for pedestrian-vehicle mixed evacuation based on discrete particle swarm optimization algorithm. Comput Oper Res 44:1–12

    Article  Google Scholar 

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Author information

Authors and Affiliations

  1. Shiraz University, Shiraz, Iran

    Ali Soltani

  2. Urban and Regional Planning, School of Art, Architecture and Design, University of South Australia, Adelaide, Australia

    Andrew Allan

  3. University of Tarbiat Modares, Tehran, Iran

    Mohammad Heydari

Authors
  1. Ali Soltani
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  2. Andrew Allan
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  3. Mohammad Heydari
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Corresponding author

Correspondence to Andrew Allan .

Editor information

Editors and Affiliations

  1. Human Geography and Planning, Utrecht University, Utrecht, The Netherlands

    Stan Geertman

  2. School of Urban Design, Wuhan University, Wuhan, China

    Qingming Zhan

  3. School of Art, Architecture and Design, University of South Australia, Adelaide, SA, Australia

    Andrew Allan

  4. Faculty of the Built Environment, University of New South Wales, Sydney, NSW, Australia

    Christopher Pettit

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Soltani, A., Allan, A., Heydari, M. (2019). A Two-Stage Process for Emergency Evacuation Planning: Shelter Assignment and Routing. In: Geertman, S., Zhan, Q., Allan, A., Pettit, C. (eds) Computational Urban Planning and Management for Smart Cities. CUPUM 2019. Lecture Notes in Geoinformation and Cartography. Springer, Cham. https://doi.org/10.1007/978-3-030-19424-6_24

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