01702243

Component

The development of health care facilities in a nation improves the quality of life of its citizens, and enhances their efficiency and productivity; eventually, reducing poverty. This paper proposed a methodology that uses GIS and multi-criteria decision-making technique for development of health care units (HCUs), to attain spatial efficiency in distribution of facilities. The methodology assigns spatial weightage to the suitability index of the candidate locations in the objective function of maximize coverage location-allocation problem embedded in ArcGIS. Habitations unserved by the existing HCUs are considered as candidate locations. The five criteria considered to determine the suitability index of a location are: Access distance to nearest existing HCU (C1), Accessibility index of habitations to existing HCUs based on service to population ratio (C2), Connectivity to all-weather roads (C3), Population of neighborhood (C4), and Health care requirement of a zone (C5). The proposed methodology is applied in Jhunjhunu district, India as a case study, for the development of Community Health Centers (CHCs). Accessibility of habitation to facilities (jointly C1, C2, and C3) found to be the most influencing criteria in deciding the suitability of a candidate location to site the CHCs. The proposed methodology enables maximization of coverage, minimization of needless competition within CHCs, and satisfaction of zonal requirement for health. Study findings would be helpful to national policymakers for developing HCUs by prioritizing fund allocation to shortage areas to improve the health index as well as quality of life.

19-00633

English

6p

2019

Transportation Research Board 98th Annual Meeting

Digital/other

Figures; References

Accessibility; Geographic information systems; Health care facilities; Location; Multiple criteria decision making; Residential location; Rural areas

India

Highways; Operations and Traffic Management; Planning and Forecasting

Transportation Research Board Annual Meeting 2019 Paper #19-00633

TRIS, TRB, ATRI

Apr 17 2019 3:07PM

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