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研究生:簡全亮
研究生(外文):CHIEN, CHUAN-LIANG
論文名稱:運動場館普及性指標建構之研究:以臺北市公立 游泳池為演示
論文名稱(外文):A Research on Constructing the Facilities Popularity Index of Sports Venues: Take Taipei City Public Swimming Pool as a Demonstration
指導教授:高俊雄高俊雄引用關係周宇輝周宇輝引用關係
指導教授(外文):KAO ,CHIN-HSUNGCHOU, YU-HUI
口試委員:劉田修田文政葉公鼎周宇輝高俊雄
口試委員(外文):LIU, TIAN-XIUTIAN,WEN-ZHENGYEH, KONG-TINGCHOU, YU-HUIKAO ,CHIN-HSUNG
口試日期:2020-08-10
學位類別:博士
校院名稱:國立體育大學
系所名稱:體育研究所
學門:教育學門
學類:專業科目教育學類
論文種類:學術論文
論文出版年:2020
畢業學年度:109
語文別:中文
論文頁數:115
中文關鍵詞:體育政策區位選擇公共設施
外文關鍵詞:sports policylocation selectionpublic facilities
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普及性設置運動場地(館)需要土地、經費和時間等大量資源的投入,持續性取得公共設施用地屬於都市計畫層級的課題。體育發達國家之政策由於時空背景的差異,其發展經驗通常無法直接引用於其他國家,是故體育政策多以運動統計結果為基礎,研擬中長期發展目標;如:英國、日本和中國。只是常見於都市計劃之架構下,以簡易矩陣作為佈建規劃之模式,這樣的觀點已經發現不再適宜成為剛性地政策方針。
運動場館設施一旦闢建完成,可提供使用者長達數十年的服務,其場館之主體性被完全地轉換替代並不容易。為此,探索一個得以量化描述運動場館設施佈建密集程度的指標,有助於對運動場館的分佈現況進行分析,在研擬體育運動政策的中短程計畫階段時,獲得有益的參考資訊。
地理集中度分析方法常用的指標有區域商數(location quotient)區域吉尼係數(locational Gini coefficients),和EG 指數(Ellison-Glaeser Index),雖也應用於對臺灣觀光旅遊產業地理集中程度與營運績效之相關性研究,但觀光旅遊產業涵蓋的相關產業,存在著互賴與共生關係,而運動場館業則不盡然。
空間可接近性分析方法中採用最短距離法,未考慮選擇機會因素,可能與實際狀況有著較大的差距。使用流動搜尋法(FCA)係採用算數平均數做為服務提供中心的計算方式,未能充分顯現多處服務據點的集中(或分散)程度。而不論是二階段流動搜尋法(2SFCA)或進階式二階段流動搜尋法(E2SFCA),在缺乏使用意願的衰減參數(距離閥值,threshold travel distance)之前,而逕行採用假設方式做為衰減參數,將無法估計計算誤差。
本研究提出若以幾何平均數方式計算場館平均距離,再將球場數量予以加權,而加權平均數可定義為運動場館設施普及性指標(名為SpoPopularity,SpoPP)。為演示研擬之SpoPP指標,本研究採次集資料分析法,以臺北市公立游泳池為演示,使用2019年7月份「全國運動場館資訊網」所載公共游泳池資訊,內政部「社會經濟統計地理資訊網」所載之人口統計資料以及臺北市政府民政局公告「第13屆里長通訊錄」進行公共游泳池佈建現況分析。
研究結果顯示,SpoPP指數應具有其實務運用之可行性。若須與現有都市計畫進行比較,SpoPP指數仍得以套用空間分析模式。有助於各級政府在體育運動政策分析與研擬中短程計畫階段,獲得本國鄉鎮市場館佈建之現況的參考資訊,量化分析後續興建(或拆除)之後的影響。在自身體育運動發展體系下,得以訂定合宜的發展目標,逐步地執行公共運動設施佈建策略。
從地理空間分析角度上來看,由於SpoPP指數可以計算出每個服務據點服務範圍人口數,排序出優先選擇場館次數或是擁有最多第 1 優先選擇服務人口數之場館,可做為分析個案營運管理之參考資訊;應用於分析公共運動設施對外開放潛力,評估委託民間經營管理市場條件較優之標地。

The popularization of sports venues requires the investment of a large amount of resources such as land, funds, and time. The continuous acquisition of land for public facilities is a subject of urban planning level. Due to the differences in time and space background, the policies of developed sports countries usually cannot directly apply their development experience to other countries. Therefore, sports policies are mostly based on the results of sports statistics to formulate medium and long-term development goals; such as the United Kingdom, Japan and China. It is only common in the urban planning framework that the simple matrix is used as the mode of deployment planning. This view has been found to be no longer suitable for rigid policy guidelines.
Once the sports venues and facilities are built, they can serve for decades. It is not easy to replace the subjectivity of the venues completely. Therefore, the research of the indicators that quantifies the intensity of the distribution of sports venues helps analyze the current spread of sports venues on making mid-term or short-term policy decisions.
The commonly used indicators of geographic concentration measures are location quotient, locational Gini coefficients, and Ellison-Glaeser Index. Although it is also applied to the study of the correlation between the geographic concentration of Taiwan's tourism industry and its operating performance, the related industries covered by the tourism industry have a mutual dependence and symbiotic relationship, while the sports venue industry is not the case.
The shortest distance method is used in the spatial accessibility analysis method without considering the selection opportunity factor, which may be quite different from the actual situation. Using the Floating Basin Area Method(FCA)is a calculation method that uses an arithmetic average as the service providing center. This method cannot fully show the degree of concentration(or dispersion)of multiple service locations. Whether it is the two-step floating catchment method(2SFCA)or the enhanced two-step floating catchment method(E2SFCA), if there is no the parameter of threshold driving distance, and the hypothetical attenuation parameter is used directly, the calculation error cannot be estimated.
This research proposes that if the average distance of the venues or facilities is calculated by geometric mean, and weighted by the number of sports courses in each venue, the weighted average can be defined to the venue Popularity index(named SpoPopularity, SpoPP). To demonstrate the proposed SpoPP index, this study adopts a secondary data analysis method, Taking Taipei city public swimming pool as a demonstration, using the "National Sports Venues Information Website" in July 2019 to publish information on public swimming pools, the Ministry of the Interior’s "Social Economic Statistics Geographic Information Website" demographic data and the Taipei City Government Civil Affairs Bureau’s announcement "13th District Chief’s Address List" to Analyze the current situation of the deployment of public swimming pools.
The research shows, this calculation method of index should benefit the current practical application. Compared with the existing urban plan, the SpoPP index can also be applied to the spatial analysis model. It is helpful for governments at all levels to obtain reference information on the current situation of urban sports venues in their country during the short- and medium-term planning stage of sports policy analysis and research, and to quantify the impact of subsequent construction(or demolition). Under its own sports development system, it can set appropriate development goals and gradually implement the deployment strategy of public sports facilities.
From the perspective of spatial analysis, since the SpoPP index can calculate the population of each service site's service area, sort out the number of preferred venues or the venues with the largest number of preferred service populations, which can be used as reference information for analyzing operation management cases ; Used to analyze the potential of public sports facilities to open to the outside world, and to evaluate the objects with better market conditions for private operation and management.

第壹章 緒論 1
第一節 研究背景 1
第二節 研究目的 5
第三節 研究問題 5
第四節 研究範圍與對象 5
第貳章 文獻回顧 7
第一節 臺灣及體育發達國家運動設施普及性指標 7
第二節 地理分析方式 16
第三節 路徑規劃演算法 22
第參章 研究方法 28
第一節 研究架構 28
第二節 研究設計 29
第三節 資料處理 30
第四節 運動場館普及性指標 33
第五節 資料來源 39
第六節 研究流程 41
第七節 研究範圍 43
第肆章 結果與討論 46
第一節 結果 46
第二節 討論 66
第伍章 結論與建議 78
第一節 結論 78
第二節 建議 80
第三節 研究限制 81
參考文獻 83
附表1 2017年臺灣人口密度10,000人/平方公里以上行政區列表 93
附表2 臺北市各里游泳池(館)設施普及性人口負載情形列表(對外開放) 95

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