Spatial accessibility modeling to healthcare facilities in the case of health shocks of Midnapore municipality, India

This research aims to identify the accessibility of entire population, especially slum population existing healthcare facilities (HCF) as well neighborhoods having low geographic accessibility, and finally, provide an analytical model for people living in areas that are outside coverage range across study area. Spatial data has been collected used based on road network, elevation, location HCF, municipal boundary, point, satellite images from various sources. Also, non-spatial such socioeconomic variables questionnaires survey within a particular period. The spatial analysis tool like near, network analysis, predictive ArcGIS platform was examine accessibility. results show distribution public facility centers area not uniformly distributed. Across 84% have sound with traveling time is about 12 min. However, 16% 30 min under neighborhoods. Therefore, demanding new Analytical Hierarchy Process (AHP) employed find most optimal efficient locational suitability building centers. finding AHP site revealed five major classes suitable (2%), (5%), moderate (35%), poor (54%), very (4%) Moreover, realistic framework this helps measure any geographical