| 研究生: |
詹宜溱 Chan, Yi-Chen |
|---|---|
| 論文名稱: |
歷史街區內閒置特色老屋轉用為終身學習空間之選址評估研究—以府城歷史街區為例 A Site Selection Evaluation Study on the Conversion of Vacant Distinctive Historic Buildings into Lifelong Learning Spaces in the Fucheng Historic District |
| 指導教授: |
曾憲嫻
Cheng, Hsien-Hsin |
| 學位類別: |
碩士 Master |
| 系所名稱: |
規劃與設計學院 - 都市計劃學系 Department of Urban Planning |
| 論文出版年: | 2025 |
| 畢業學年度: | 113 |
| 語文別: | 中文 |
| 論文頁數: | 180 |
| 中文關鍵詞: | 歷史街區 、閒置老屋轉用 、學習型城市 、多準則決策分析 |
| 外文關鍵詞: | historic district, the conversion of vacant distinctive historic buildings, Learning city, Multi-Criteria Decision Analysis (MCDA) |
| 相關次數: | 點閱:22 下載:9 |
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本研究聚焦於歷史街區中閒置特色老屋轉用為終身學習空間的選址評估關鍵影響因子,透過質量混合方式建構適用於歷史街區的選址評估模型。在城市永續發展下,終身學習對於提升城市競爭力與城市永續極為重要,學習空間的營造應將高齡者的需求作為學習者的最基本考量,確保空間的友善性與可及性,並不侷限於特定族群使用,而是致力於打造一個具包容性與開放性的多元學習場域。老屋作為歷史文化的重要載體,不僅能回應社區實際的學習需求,也具有作為在地文化教育資源的潛力,是連結歷史記憶與當代表達的關鍵節點。
本研究以歷史街區為主要探討範疇,考量其在歷史脈絡下所形成的街巷系統,與其他城市區域相比具有獨特的空間紋理與發展脈絡,為選址評估帶來更深入的探討可能性。研究初期透過文獻回顧彙整相關選址指標,並透過半結構式專家訪談,在環境條件、社會支持與建築需求三大構面下納入實務與專業觀點,以修正並建構適用於歷史街區之在地性指標架構。
在分析方法上,本研究採用多準則決策分析法(MCDA),以層級分析法(AHP)與理想解相似度排序法(TOPSIS),透過專家問卷歸納各構面下的重要因子之相對重要性。在實證分析上以田野調查修正2013-2017年曾憲嫻教授研究室所盤查之特色歷史老屋資料,進一步檢視截至2024年12月份特色歷史老屋閒置狀況,最終進行75筆老屋選址排序與模擬分析。並以府城歷史街區為實證場域,結合田野觀察與空間資料分析,辨識並分類出綜合型潛力點、環境導向潛力點、社會導向潛力點及建築導向潛力點,據此針對各導向的關鍵因子提出具體之轉用建議與政策修正方向。
根據研究結果發現,專家們所關注適用於歷史街區的選址條件與過去交通環境層面不同,相較於一般所關注的可及性不同,更重視於使用者步行前往學習空間的安全性與舒適性,反映出城市以人為本的步行環境趨勢更符合歷史街區的永續發展。其次,在歷史街區中相對於物理環境,專家們也更關注於街區的認同與參與度,具有良好的社會支持條件,更能夠讓特色老屋轉用成學習空間後得以永續經營。透過本研究為歷史街區內老屋轉用提供公平、在地且具文化連結性的政策參考依據,突破現行以觀光或商業導向為主的再生策略侷限,推動更具社會效益與文化價值的空間轉型實踐。
This study investigates key factors for selecting sites to convert vacant distinctive historic buildings in historic districts into lifelong learning spaces. Employing a mixed-methods approach, it develops a location evaluation model tailored to the spatial context of historic urban areas. Recognizing lifelong learning as vital to urban resilience and sustainability, the study emphasizes inclusive, age-friendly learning environments that prioritize accessibility and community engagement.
Historic districts, characterized by their unique alleyway systems and spatial textures, offer complex conditions for site selection. Relevant indicators were first compiled through a literature review and refined through semi-structured interviews with experts. These indicators—categorized into environmental conditions, social support, and building-related requirements—form a localized evaluation framework.
Using Multi-Criteria Decision Analysis (MCDA), the study assesses the relative importance of each factor through expert questionnaires. Field surveys updated data from Professor Hsien-Hsien Tseng’s 2013–2017 inventory of historic houses, identifying 75 vacant sites by December 2024 for ranking and simulation.
Through spatial analysis and fieldwork, four categories of potential sites were identified: comprehensive, environment-oriented, society-oriented, and building-oriented. Based on these, the study proposes reuse strategies and policy recommendations.
Findings show that experts prioritize pedestrian safety and comfort over traditional accessibility metrics, signaling a shift toward people-centered planning in historic district development. They also emphasize local identity and community participation, noting that strong social support sustains repurposed learning spaces. The study offers a culturally grounded policy reference, challenging tourism-driven regeneration in favor of socially meaningful spatial transformation.
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碩博士論文
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