A Hybrid Fuzzy AHP–Fuzzy TOPSIS and GIS‐Based Framework for Mobile Clinic Location Selection in Conflict Zones: A Case Study From Northern Syria

ABSTRACT Providing healthcare services in conflict‐affected regions like northern Syria is a significant challenge due to ongoing conflict and massive displacement. Mobile clinics offer a flexible solution to meet the urgent healthcare needs of displaced communities. This study aims to develop a comprehensive evaluation framework for the optimal location selection of mobile clinics, integrating fuzzy multi‐criteria decision‐making approaches, Geographic Information Systems (GIS), and multi‐scenario planning. We conducted surveys with 37 medical NGOs actively engaged in the Syrian health sector to identify key criteria for mobile clinic locations. Using the Fuzzy Analytic Hierarchy Process (F‐AHP), we weighted these criteria based on their importance. Spatial analysis with GIS provided a visual assessment of each potential location against these criteria, creating risk maps to guide decision‐making. We applied the fuzzy Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) to evaluate and rank 51 candidate locations. Additionally, multi‐scenario planning was employed to assess the performance of these locations under four potential conditions: current/continued instability (S1), conflict escalation (S2), flood risk (S3), and post‐conflict recovery (S4). The results highlight strategic locations for mobile clinics, providing actionable insights for health authorities, NGOs, and donors. This framework offers a data‐driven, adaptable solution for healthcare delivery in crisis zones, enhancing the strategic planning capabilities of humanitarian organisations.