Pre-positioning and real-time disaster response operations: Optimization with mobile phone location data

Jing Wang, Jianping Cai, Xiaohang Yue and Nallan C. Suresh

Transportation Research Part E: Logistics and Transportation Review, 2021, vol. 150, issue C

Abstract: Uncertainty of disaster information severely hinders efficiency of disaster relief operations. This paper explores how mobile phone location data are applied to capture rapidly accurate disaster information and proposes a preparedness-response two-stage scenario-based stochastic programming model with mobile phone location data for integrated pre-positioning and real-time response operation optimization. The Dantzig-Wolfe decomposition approach based on Lagrange duality and branch-and-bound algorithm are adopted to solve this model. The applicability of the model is proved via a real-world case study on the Haiti earthquake. Numerical experiments are performed to offer important managerial implications and insights in disaster management, especially for large-scale disasters.

Keywords: Mobile phone location data; Real-time disaster information; Preparedness-response integrated optimization; Two-stage scenario-based stochastic programming model (search for similar items in EconPapers)
Date: 2021
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Citations: View citations in EconPapers (7)

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DOI: 10.1016/j.tre.2021.102344

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