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Solving a location-routing problem with a multiobjective approach: the design of urban evacuation plans

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  • Coutinho-Rodrigues, João
  • Tralhão, Lino
  • Alçada-Almeida, Luís
Abstract
Fires, earthquakes, floods, acts of terrorism, nuclear accidents and other catastrophes that may occur in (or affect) urban areas, constitute an important concern for emergency and rescue services, such as fire departments and medical assistance. This paper introduces a multiobjective approach to identify evacuation paths and the location of shelters for urban evacuation planning. Six objectives including risks associated to paths and shelter locations, evacuation path lengths, and the final evacuation time from shelters to, for instance, hospitals, were considered in a mixed integer linear programming model. The proposed approach was tested for a simulated fire situation concerning the historical urban city center of an old European city (Coimbra, Portugal). The modeling approach may also support other emergency situations for which evacuation plans are pertinent. The solutions generated are compared in the objective space via various graphical techniques and represented via color-coded graphics in a Geographic Information System (GIS) where evacuation routes, rescue facilities and the respective building assignments are shown.

Suggested Citation

  • Coutinho-Rodrigues, João & Tralhão, Lino & Alçada-Almeida, Luís, 2012. "Solving a location-routing problem with a multiobjective approach: the design of urban evacuation plans," Journal of Transport Geography, Elsevier, vol. 22(C), pages 206-218.
    • Handle: RePEc:eee:jotrge:v:22:y:2012:i:c:p:206-218
    DOI: 10.1016/j.jtrangeo.2012.01.006
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    Cited by:

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    2. Wang, Qingyi & Wallace, Stein W., 2022. "Non-compliance in transit-based evacuation pick-up point assignments," Socio-Economic Planning Sciences, Elsevier, vol. 82(PB).
    3. Kılcı, Fırat & Kara, Bahar Yetiş & Bozkaya, Burçin, 2015. "Locating temporary shelter areas after an earthquake: A case for Turkey," European Journal of Operational Research, Elsevier, vol. 243(1), pages 323-332.
    4. Kimms, A. & Maiwald, M., 2018. "Bi-objective safe and resilient urban evacuation planning," European Journal of Operational Research, Elsevier, vol. 269(3), pages 1122-1136.
    5. Hammad, Ahmed W A & Akbarnezhad, Ali & Rey, David, 2017. "Sustainable urban facility location: Minimising noise pollution and network congestion," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 107(C), pages 38-59.
    6. Coutinho-Rodrigues, João & Tralhão, Lino & Alçada-Almeida, Luís, 2012. "A bi-objective modeling approach applied to an urban semi-desirable facility location problem," European Journal of Operational Research, Elsevier, vol. 223(1), pages 203-213.
    7. Aghaie, Sepide & Karimi, Behrooz, 2022. "Location-allocation-routing for emergency shelters based on geographical information system (ArcGIS) by NSGA-II (case study: Earthquake occurrence in Tehran (District-1))," Socio-Economic Planning Sciences, Elsevier, vol. 84(C).
    8. Esposito Amideo, A. & Scaparra, M.P. & Kotiadis, K., 2019. "Optimising shelter location and evacuation routing operations: The critical issues," European Journal of Operational Research, Elsevier, vol. 279(2), pages 279-295.
    9. Pérez-Galarce, Francisco & Canales, Linda J. & Vergara, Claudio & Candia-Véjar, Alfredo, 2017. "An optimization model for the location of disaster refuges," Socio-Economic Planning Sciences, Elsevier, vol. 59(C), pages 56-66.
    10. Goerigk, Marc & Deghdak, Kaouthar & Heßler, Philipp, 2014. "A comprehensive evacuation planning model and genetic solution algorithm," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 71(C), pages 82-97.
    11. Bayram, Vedat & Tansel, Barbaros Ç. & Yaman, Hande, 2015. "Compromising system and user interests in shelter location and evacuation planning," Transportation Research Part B: Methodological, Elsevier, vol. 72(C), pages 146-163.
    12. Kınay, Ömer Burak & Yetis Kara, Bahar & Saldanha-da-Gama, Francisco & Correia, Isabel, 2018. "Modeling the shelter site location problem using chance constraints: A case study for Istanbul," European Journal of Operational Research, Elsevier, vol. 270(1), pages 132-145.

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