運用空間型構理論探討長照服務據點之可近性：以臺北市萬華區為例

Using Space Syntax to Analyze the Accessibility of Long-Term Care Service Stations: The Case of Wanhua District in Taipei

在長期照顧十年計畫2.0的驅動下，近年來長照據點在數量上呈現前所未有的快速成長。為探討其空間分布的適切性，本研究以臺北市高齡人口比例最高的萬華區為例，運用空間型構理論對其進行可近性分析，結果如下：一、整體空間結構：萬華區以有機型路網為主，不同區域間的可近性條件存在顯著的差異。二、長照據點分級與分類：A、B級據點雖然多座落於交通便捷的區位，但在社區尺度上是以提供居家式服務為主的C級據點與社區照顧關懷據點展現出較高的可近性。三、行政分區：進一步將可近性分析結果與人口密度、高齡人口與低收入人口占比等因子進行K-means集群分析，結果顯示各分群在長照需求上有很大的差異，而現行長照據點的分布並未能很好地對應實際需求。

Driven by the 10-Year Long-Term Care Plan 2.0, the number of long-term care service stations has drastically grown in recent years. In order to assess the appropriateness of their spatial distribution, this study examines Wanhua District, an area with the highest proportion of elderly residents in Taipei City, and Space Syntax theory is used to analyze accessibility. The findings are as follows: 1. Overall spatial configuration: Wanhua District has a primary feature of an organic road network, causing significant differences in accessibility across various areas. 2. Classification and categorization of long-term care service stations: While the service stations of level A and B are mostly located in areas of convenient transportation, at the community level, the level-C service stations and community care stations, which primarily provide home services, exhibit higher accessibility. 3. Administrative divisions: Further analyses integrate accessibility results associated with factors such as population density, the proportion of elderly residents, and low-income population using K-means clustering. The results reveal substantial variations in the demand for care services among different clusters, while the current distribution of long-term care service stations does not fully meet the community demands.