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Quick-Response Model for Pre- and Post-Disaster Evacuation and Aid Distribution: The Case of the Tula River Flood Event

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Listed:
  • Francisca Santana-Robles

    (Escuela Superior de Cd. Sahagún, Universidad Autónoma del Estado de Hidalgo, Ciudad Sahagún, Sahagún 43990, Hidalgo, Mexico)

  • Eva Selene Hernández-Gress

    (Engineering and Sciences School, Tecnologico de Monterrey, Pachuca 42080, Hidalgo, Mexico)

  • Ricardo Martínez-López

    (Escuela Superior de Cd. Sahagún, Universidad Autónoma del Estado de Hidalgo, Ciudad Sahagún, Sahagún 43990, Hidalgo, Mexico)

  • Isidro Jesús González-Hernández

    (Escuela Superior de Cd. Sahagún, Universidad Autónoma del Estado de Hidalgo, Ciudad Sahagún, Sahagún 43990, Hidalgo, Mexico)

Abstract

Background : In the context of humanitarian logistics, efficiently evacuating people from disaster-stricken areas is a complex challenge. This study focuses on the Tula River region in Hidalgo, Mexico, exploring the evacuation and support of individuals in temporary shelters. Despite the fact that the topic has been addressed in the literature, it is necessary to have quick response methods that can be used by decision-makers to adapt and utilize existing spaces as temporary shelters, in addition to knowing how to evacuate people. Methods : Addressing this void, a methodology to minimize evacuation and aid distribution costs is introduced. Leveraging existing algorithms, particularly Integer Linear Programming, the model determines shelter activation and utilizes the Vehicle Routing Problem to assess aid delivery strategies. Results : The research identifies optimal evacuation routes from 13 affected areas to 34 shelters and analyzes aid distribution costs under various demand scenarios: original, increased, and decreased by 10%, based on the number of transport units allocated and Google Maps distances. It also evaluates the costs associated with humanitarian aid distribution under varying collection strategies, involving state and municipal governments. Conclusion : This approach provides a decision-making foundation and can be adapted for similar analyses in other communities during extreme events.

Suggested Citation

  • Francisca Santana-Robles & Eva Selene Hernández-Gress & Ricardo Martínez-López & Isidro Jesús González-Hernández, 2024. "Quick-Response Model for Pre- and Post-Disaster Evacuation and Aid Distribution: The Case of the Tula River Flood Event," Logistics, MDPI, vol. 8(1), pages 1-21, January.
    • Handle: RePEc:gam:jlogis:v:8:y:2024:i:1:p:8-:d:1314399
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    References listed on IDEAS

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    1. Li Zhu & Yeming Gong & Yishui Xu & Jun Gu, 2019. "Emergency relief routing models for injured victims considering equity and priority," Annals of Operations Research, Springer, vol. 283(1), pages 1573-1606, December.
    2. Muhammad Salman Habib & Young Hae Lee & Muhammad Saad Memon, 2016. "Mathematical Models in Humanitarian Supply Chain Management: A Systematic Literature Review," Mathematical Problems in Engineering, Hindawi, vol. 2016, pages 1-20, February.
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