A. Ayşe Kaplan, J. Rodríguez-Pereira, B. Balcik, M. Rancourt, G. Laporte
This study introduces the Stochastic Assessment Routing Problem (SARP) for post-disaster resilience assessment under uncertainty. This stochastic routing problem variant combines location selection for assessments (to ensure sampling representativeness) with logistical planning (the design of field team routes). A major challenge is the uncertainty in the availability of key informants at sites, which is addressed by incorporating backup sites into the selection and routing process. We propose a matheuristic approach consisting of two phases: an enumeration process followed by a set partitioning model. Our approach is capable of solving the SARP for realistic instances, as demonstrated with data from the 2023 Türkiye earthquakes, supporting field teams in recovery efforts.
Palabras clave: Post-disaster Needs Assessment,Clustering,Stochastic Vehicle Routing
Programado
Transporte II
11 de junio de 2025 15:30
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