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Post-disaster relief–service centralized logistics distribution with survivor resilience maximization

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  • Sheu, Jiuh-Biing

Abstract

This work proposes a post-disaster demand-oriented emergency logistics operational model that aims at disaster relief–service distribution to maximize survivor resilience. Rooted in survival psychology and cognition theories, this work proposes a conceptual model which hypothesizes post-disaster survivor perception–attitude–resilience relationships. This is followed by conducting a normative analysis which includes establishing survivor-specific disaggregate attitudinal functions and a post-disaster relief–service distribution optimization model, based on the proposed conceptual model and hypotheses. Using structural equation modeling we conduct an empirical study which verifies that the proposed survivor perception–attitude–resilience conceptual model is valid, supporting the results of the normative analyses. Furthermore, a numerical study of a real earthquake disaster is conducted. Numerical results demonstrate the applicability of the proposed method and its potential advantages in evaluating the performance of an emergency logistics system from the perspective of not only the suppliers but also the demanders.

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  • Sheu, Jiuh-Biing, 2014. "Post-disaster relief–service centralized logistics distribution with survivor resilience maximization," Transportation Research Part B: Methodological, Elsevier, vol. 68(C), pages 288-314.
    • Handle: RePEc:eee:transb:v:68:y:2014:i:c:p:288-314
    DOI: 10.1016/j.trb.2014.06.016
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    13. Li Zhu & Yeming Gong & Yishui Xu & Jun Gu, 2019. "Emergency Relief Routing Models for Injured Victims Considering Equity and Priority," Post-Print hal-02879681, HAL.
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    20. Aldrighetti, Riccardo & Battini, Daria & Ivanov, Dmitry & Zennaro, Ilenia, 2021. "Costs of resilience and disruptions in supply chain network design models: A review and future research directions," International Journal of Production Economics, Elsevier, vol. 235(C).
    21. Oscar Rodríguez-Espíndola, 2023. "Two-stage stochastic formulation for relief operations with multiple agencies in simultaneous disasters," OR Spectrum: Quantitative Approaches in Management, Springer;Gesellschaft für Operations Research e.V., vol. 45(2), pages 477-523, June.
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    23. Peiyu Zhang & Yankui Liu & Guoqing Yang & Guoqing Zhang, 2022. "A multi-objective distributionally robust model for sustainable last mile relief network design problem," Annals of Operations Research, Springer, vol. 309(2), pages 689-730, February.

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