An Inter-Regional Lateral Transshipment Model to Massive Relief Supplies with Deprivation Costs

Shuanglin Li, Na Zhang and Jin Qin ()
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Shuanglin Li: School of Traffic & Transportation Engineering, Central South University, Changsha 410075, China
Na Zhang: School of Traffic & Transportation Engineering, Central South University, Changsha 410075, China
Jin Qin: School of Traffic & Transportation Engineering, Central South University, Changsha 410075, China

Mathematics, 2025, vol. 13, issue 14, 1-32

Abstract: Massive relief supplies inter-regional lateral transshipment (MRSIRLT) can significantly enhance the efficiency of disaster response, meet the needs of affected areas (AAs), and reduce deprivation costs. This paper develops an integrated allocation and intermodality optimization model (AIOM) to address the MRSIRLT challenge. A phased interactive framework incorporating adaptive differential evolution (JADE) and improved adaptive large neighborhood search (IALNS) is designed. Specifically, JADE is employed in the first stage to allocate the volume of massive relief supplies, aiming to minimize deprivation costs, while IALNS optimizes intermodal routing in the second stage to minimize the weighted sum of transportation time and cost. A case study based on a typhoon disaster in the Chinese region of Bohai Rim demonstrates and verifies the effectiveness and applicability of the proposed model and algorithm. The results and sensitivity analysis indicate that reducing loading and unloading times and improving transshipment efficiency can effectively decrease transfer time. Additionally, the weights assigned to total transfer time and costs can be balanced depending on demand satisfaction levels.

Keywords: disasters; humanitarian logistics; inter-regional lateral transshipment; deprivation cost; intermodality (search for similar items in EconPapers)
JEL-codes: C (search for similar items in EconPapers)
Date: 2025
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