| Summary: | 碩士 === 國立臺北大學 === 都市計劃研究所 === 96 === This study aims to design a location-allocation model for urban public health care facilities. The past studies about location of health care facilities ignored two issues: health care is hierarchical services and uncertain elements exist in location planning works. Thus this study tried to deal with the two issues and develop a useful tool to assist urban planners on location planning of public health care facilities.
The study began at literature review on the topics of public health care facility, social inclusion and location-allocation modeling. Based on the literature review, three important considerations for public health care facilities distribution planning including social inclusion, social justice and operational efficiency were identified for model development.
Then, a grey, fuzzy, nonlinear and multi-objective programming model considering competitive facilities, service capacity, social inclusion and social justice, finance feasibility, hierarchical services and uncertain elements was developed. The developed model can be solved by the following five steps: collecting parameter data, determining optional locations, identifying covering sets, model solving and identifying non-dominated solutions. In the model solving step, the grey programming approach is used for grey parameters and variables, the Verdegay method is employed for fuzzy constraints, the -constraint method is adopted for multiple objectives and the Lingo 11.0 package is applied for problem solving.
Finally, the model was applied to Taipei, Taiwan for examining the applicability and usefulness of the model. The case study created three alternatives, which give same importance to low level and high level services. The created alternatives have different emphases: taking care of vulnerable population (social inclusion), fairness of accessing facilities for all population (social justice), and compromise between social inclusion and social justice. Comparing the created alternatives with the present situation, the study indicates that the created alternatives have better performances on high level service than the present situation has.
Urban planners can apply the developed model to public health care facility distribution planning in underdeveloped and developed areas considering the needs of public health and social welfare. By using of mathematical programming, location planning of public health care facilities can be objectively and systematically deployed.
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