A biobjective hierarchical location-allocation approach for the regionalization of maternal-neonatal care

Şakir Karakaya and Sedef Meral

Socio-Economic Planning Sciences, 2022, vol. 79, issue C

Abstract: This study proposes a biobjective location-allocation model for the regionalization of maternal-neonatal care to increase both accessibility and cost-efficiency by minimizing total transportation costs to public in accessing services and total service costs to government simultaneously. The model is characterized by a three-level successively inclusive hierarchy with an integrated flow and bidirectional referrals. Since it is difficult to solve for the optimum in a reasonable time, three heuristics are developed: top-down heuristic, novel top-down heuristic, and Lagrangean relaxation. A significant result obtained from the computational study is that at least one of the heuristics provides high-quality solutions in reasonable computational time for any level of the policy variable in weighting the two objectives. To demonstrate its practicality, the proposed hierarchical location-allocation model is applied to a case study based on the southeastern Anatolian region of Turkey.

Keywords: Maternal-neonatal; Health care; Hierarchical location-allocation; p-median; Top-down heuristic; Lagrangean relaxation (search for similar items in EconPapers)
Date: 2022
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Persistent link: https://EconPapers.repec.org/RePEc:eee:soceps:v:79:y:2022:i:c:s0038012121000859

DOI: 10.1016/j.seps.2021.101093

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