本研究之目的在於建構都市公共醫療設施的區位規劃模型，試圖改善過去研究忽略設施階層
性以及規劃條件不明確的問題，以輔助公共醫療設施區位選址的規劃決策工作。模型設計為灰色
多目標規劃問題，處理公私立設施競爭關係、醫療設施容量限制、社會包容與公平、設施財務、
醫療設施的服務層級、以及規劃過程中的不確定性因素等。模型求解採灰色規劃法處理灰參數以
及ε - 限制法處理多個目標產生非劣解。本文應用所建模型對台北市進行實例分析，規劃結果與
分析過程顯現了模型的實用性與價值。實務上，模型能運用在新市區開發與舊市區通盤檢討等時
機，透過量化資料與系統性的分析，使公共醫療設施區位規劃工作能夠更為客觀化與系統化。

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. 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 model was designed a grey multi-objective programming model considering
competitive facilities, service capacity, social inclusion and justice, finance feasibility, hierarchical
services and uncertainties. The problem-solving approach applies grey programming approach for
grey parameters and variables and the ε-constraint method for multiple objectives. The case study of
Taipei presents the applicability and usefulness of the developed model. By using of the developed
model, location planning of public health care facilities can be objectively and systematically
deployed.