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研究生: 戴洺怡
Tai, Ming-Yi
論文名稱: 從智慧收縮角度探討人口縮減下的土地使用變化與空置類型—以舊台南市市區為例
Exploring Land Use Changes and Vacancy Types under Population Shrinkage from the Perspective of Smart Shrinkage: The Case of Old Tainan Urban Area
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: 132
中文關鍵詞: 空置地土地使用變遷人口縮減智慧收縮
外文關鍵詞: Vacant land, land-use change, population decline, smart shrinkage
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  • 隨著全球化、少子化及高齡化進程,人口減少與結構轉型帶來的城市收縮現象已成全球性挑戰。台灣自2020年進入人口負成長階段,面臨土地利用及資源分配的結構性挑戰。本研究聚焦台南市北區、中西區、東區、南區及安平區,從智慧收縮視角探討舊市區人口縮減下的土地使用變遷與空置地特徵,並模擬未來土地利用趨勢,以期為政策規劃提供參考。
    本研究旨在分析台南市舊市區在人口縮減情境下的土地利用與空置地特徵,模擬2034年土地使用變遷趨勢,並提出智慧收縮策略,促進土地資源高效管理與再利用。研究採用類神經網路、馬可夫鏈及細胞自動機(ANN-CA-Markov)模型,結合2016年至2022年間的土地利用調查資料,進行歷史變遷分析與未來趨勢預測。研究範圍涵蓋台南市五個行政區,影響因子包括人口密度與基礎設施分布等,以土地利用與空置地的區位與類型變化為核心。
    研究發現,2016年至2022年間,在研究區域當中與人口縮減趨勢相反,商業與住宅用地的空置地面積呈減少趨勢。然而,公共設施及其他用地的空置地顯著增加,且分布集中於特定區域。北區與中西區因開發成熟度高及人口減少,土地再利用彈性較低,空置地多集中於公共設施周邊,發展潛力受限。東區與南區空置地受城市擴展與基礎設施建設影響,呈邊界拓展趨勢,部分地區具備配合城市功能轉型的潛力。安平區空置地多集中於觀光資源周邊,未來可能在觀光功能強化中發揮重要作用。模擬結果顯示,2034年空置地分布將受到人口減少與需求下降的多重影響,呈現集聚與擴展並存的特徵。北區與中西區空置地可能進一步增加,東區與南區需挖掘土地利用潛力以配合城市需求,而安平區空置地在觀光資源整合中具更大發展可能性。
    本研究最後建議以智慧收縮為核心,採取動態土地管理策略,促進土地資源的再利用與空間優化,包括:針對空置地進行類型化分類,依照區域特性制定差異化利用策略;結合政策引導,優化土地再開發效率。總體而言,人口縮減帶來的城市挑戰可成為契機,透過智慧收縮理念調整城市規劃,提升居民生活品質並實現永續發展。

    Urban shrinkage due to globalization, declining birth rates, and aging populations is a growing challenge. Taiwan’s negative population growth since 2020 has intensified land-use and resource allocation issues. This study examines land-use changes and vacant land in Tainan City's North, Central and Western, East, South, and Anping Districts, using ANN-CA-Markov models and 2016–2022 land-use data to analyze trends and simulate future scenarios of 2034.
    Findings show a decline in vacant commercial and residential land but an increase in vacant land for public facilities, concentrated in specific areas. The North and Central and Western Districts face redevelopment limitations due to high maturity and population loss. The East and South Districts exhibit expansion trends, while Anping District's vacant land near tourism hubs holds development potential.
    Strategies should focus on increasing redevelopment flexibility in older districts, leveraging expansion in growth-prone areas, and optimizing tourism-focused development in Anping District. This study highlights smart shrinkage and dynamic land management as key to turning urban challenges into opportunities for sustainable growth.

    第一章 緒論 1 第一節 研究背景與動機 1 第二節 研究問題與目的 3 第三節 名詞定義 3 第四節 研究範圍 4 第五節 研究流程 6 第二章 文獻回顧 9 第一節 城市收縮現象(Urban Shrinkage) 9 第二節 智慧收縮(Smart Shrinkage)之概念與策略 14 第三節 城市的空置空間現象 19 第四節 土地使用變遷模擬 25 第三章 研究設計 30 第一節 研究範圍與發展現況 30 第二節 研究方法 38 第四章 模擬模型建置 50 第一節 土地使用資料建置 50 第二節 既有土地使用變遷分析 55 第三節 影響因子資料建置 57 第四節 類神經網路馬可夫鍊細胞自動機(ANN-CA-Markov)模擬 61 第五節 馬可夫鍊土地使用需求量推估矩陣分析 63 第六節 模型驗證結果 64 第五章 土地使用變遷模擬預測結果與空置分析 72 第一節 土地使用變遷模擬結果分析 72 第二節 空置地型態分類與再利用之探討 79 第六章 結論與建議 99 第一節 實證研究結論 99 第二節 研究限制與後續建議 101 參考文獻 103 附錄一 111 附錄二 116

    中文文獻
    1.林韋宏、彭建文、林子欽(2003)。Formation of Vacant Housing Units in Relation to Their Characteristics–The Case of Taipei City。住宅學報,第12卷第2期, 91-107。
    2.林裕彬、朱宏杰、吳振發 (2011) 。土地使用變遷模式回顧與比較。國土資訊系統通訊,77 2011.03[民100.03] , 46-53。
    3.林敬樺(2021)。以行為者基礎模型探討鐵路立體化周邊都市土地使用變遷-以員林車站為例。﹝碩士論文。國立成功大學﹞臺灣博碩士論文知識加值系統。
    4.邱上嘉、莊玟琦、管倖生(2010)。亞歷山大模式語言運用於閒置空間再利用之研究。建築學報,第71期,1-25。
    5.高舒琦(2017)。收缩城市的現象,概念與研究溯源。國際城市規劃,2017年第三期,50-58。
    6.黃子芩(2021)。探討萎縮都市下的土地使用變遷模式。﹝碩士論文。國立臺北大學﹞臺灣博碩士論文知識加值系統。
    7.黃國慶、詹士樑(2009)。台北都會區土地使用/覆蓋變遷驅動力之空間近鄰效果探討。都市與計劃, 第36卷第4期, 415-443。
    8.陳志豪、吳文彥(2017)。閒置空間現象成因之研究。建築學報,第100期,35-50。
    9.陳柏宏(2017)。以防災為導向之都市聰明萎縮管理-以嘉義地區土地使用調適為例。﹝碩士論文。國立成功大學﹞臺灣博碩士論文知識加值系統。
    10.許惠琪(2005)。Kappa統計量於量測一致性之應用與使用限制。﹝碩士論文。國立臺灣大學﹞臺灣博碩士論文知識加值系統。
    11.張文馨(2022)。台灣鄉村地區萎縮現象與振興策略之探討——以台南市為例。﹝碩士論文。國立成功大學﹞臺灣博碩士論文知識加值系統。
    12.張政亮(2006)。馬可夫鏈模型(Markvo Chain Model)在地理學研究之運用。國教新知,第53卷第1期,72-86。
    13.曾梓峰(2002)。推動閒置空間再利用相關法令之探討與研擬之研究。國立高雄大學區域經濟與都市發展研究中心。
    14.簡庭妤(2014)。以人口及產業變遷觀點探討台灣萎縮城市類型之研究。﹝碩士論文。國立成功大學﹞臺灣博碩士論文知識加值系統。
    15.鄒克萬(2002)。以 GIS 為基礎之土地使用變遷分析模型之比較研究,行政院國 家科學委員會專題研究計畫成果報告。
    16.鄒克萬、顧嘉安、郭幸福(2014)。以馬可夫鍊細胞自動機模型模擬極端洪水對都市土地利用型態之影響:以台北市為例。都市與計劃,第41卷第1期,43-66
    17.顧嘉安(2010)。以馬可夫鍊細胞自動機模型模擬極端洪水對都市土地利用型態之影響─以台北市為例。﹝碩士論文。國立成功大學﹞臺灣博碩士論文知識加值系統。

    外文文獻
    1.Accordino, J., & Johnson, G. T. (2000). Addressing the vacant and abandoned property problem. Journal of Urban Affairs, 22(3), 301-315.
    2.Beauregard, R. A. (2003). Aberrant cities: Urban population loss in the United States, 1820-1930. Urban Geography, 24(8), 672-690.
    3.Cheng-Yi Lin(2014). Shrinking Cities: A Global Perspective, Routledge, 182-203 , Edited by Harry W.Richardson & Chang Woon Nam
    4.Crols, T., White, R., Uljee, I., Engelen, G., Canters, F., & Poelmans, L. (2012). Development of an activity-based cellular automata land-use model: the case of Flanders, Belgium.
    5.Döringer, S., Uchiyama, Y., Penker, M., & Kohsaka, R. (2020). A meta-analysis of shrinking cities in Europe and Japan. Towards an integrative research agenda. European Planning Studies, 28(9), 1693-1712.
    6.Eastman, J.R.(2009). IDRISI Taiga Guide to GIS and Image Processing. USA: Clark Labs, Clark University. Environmental Modelling & Software ,Volume 35, 92-103.
    7.Eraydin, A., & Özatağan, G. (2021). Pathways to a resilient future: A review of policy agendas and governance practices in shrinking cities. Cities, 115, 103226. https://doi.org/10.1016/j.cities.2021.103226
    8.Fol, S., & Cunningham-Sabot, E. C. (2010). Urban decline and shrinking cities: a critical assessment of approaches to urban shrinkage. In Annales de géographie (Vol. 674, No. 4, pp. 359-383). Armand Colin.
    9.Gharaibeh, A., Shaamala, A., Obeidat, R., & Al-Kofahi, S. (2020). Improving land-use change modeling by integrating ANN with Cellular Automata-Markov Chain model. Heliyon, 6(9), e05092. https://doi.org/10.1016/j.heliyon.2020.e05092
    10.Guan, D., Li, H., Inohae, T., Su, W., Nagaie, T., & Hokao, K. (2011). Modeling urban land use change by the integration of cellular automaton and Markov model. Ecological Modelling, 222(20–22), 3761–3772. https://doi.org/10.1016/j.ecolmodel.2011.09.009
    11.Haase, D., Lautenbach, S., & Seppelt, R. (2010). Modeling and simulating residential mobility in a shrinking city using an agent-based approach. Environmental Modelling & Software, 25(10), 1225-1240.
    12.Haase, D., Haase, A., Kabisch, N., Kabisch, S., & Rink, D. (2012). Actors and factors in land-use simulation: The challenge of urban shrinkage. Environmental Modelling & Software, 35, 92-103.
    13.Hereher, Mohamed E., Talal Al-Awadhi, and Shawky A. Mansour. "Assessment of the optimized sanitary landfill sites in Muscat, Oman." The Egyptian Journal of Remote Sensing and Space Science 23, no. 3 (2020): 355-362.
    14.Hollander, J. B., Pallagst, K., Schwarz, T., & Popper, F. J. (2009). Planning shrinking cities. Progress in planning, 72(4), 223-232.
    15.Hoyt, L., & Leroux, A. (2007). Voices from forgotten cities: Innovative revitalization coalitions in America's older small cities. PolicyLink.
    16.Ivanov, B. (2022). Shrinking Smart: Identifying policy and planning alternatives for addressing urban shrinkage and population decline through cross-national comparative research on approaches from Spain, Germany and the Netherlands (Doctoral dissertation, Technische Universität Kaiserslautern). https://doi.org/10.26204/KLUEDO/6897
    17.Kim, G., Newman, G., & Jiang, B. (2020). Urban regeneration: Community engagement process for vacant land in declining cities. Cities, 102, 102730. https://doi.org/10.1016/j.cities.2020.102730
    18.Landis, J. R. and Koch, G. G. (1977). The measurement of observer agreement for categorical data. Biometrics, 33, 159-174.
    19.Liang, X., Guan, Q., Clarke, K. C., Chen, G., Guo, S., & Yao, Y. (2021). Mixed-cell cellular automata: A new approach for simulating the spatio-temporal dynamics of mixed land use structures. Landscape and Urban Planning, 205, 103960.
    20.Lee, J., & Newman, G. (2017). Forecasting urban vacancy dynamics in a shrinking city: A land transformation model. ISPRS International Journal of Geo-Information, 6(4), 124.
    21.Lee, J., Newman, G., & Park, Y. (2018). A comparison of vacancy dynamics between growing and shrinking cities using the land transformation model. Sustainability, 10(5), 1513.
    22.Lee, R. J., & Newman, G. (2019). A classification scheme for vacant urban lands: Integrating duration, land characteristics, and survival rates. Journal of Land Use Science, 14(4–6), 306–319. https://doi.org/10.1080/1747423X.2019.1706655
    23.Loures, L., & Vaz, E. (2018). Exploring expert perception towards brownfield redevelopment benefits according to their typology. Habitat International, 72, 66–76. https://doi.org/10.1016/j.habitatint.2016.11.003
    24.Maldonado López, J. I., Kim, G., Lei, Y., Newman, G., & Suppakittpaisarn, P. (2021). An assessment method and typology for the regeneration of vacant land in Quito, Ecuador. Urban Forestry & Urban Greening, 62, 127130. https://doi.org/10.1016/j.ufug.2021.127130
    25.Mansour, S., Al-Belushi, M., & Al-Awadhi, T. (2020). Monitoring land use and land cover changes in the mountainous cities of Oman using GIS and CA-Markov modelling techniques. Land use policy, 91, 104414.
    26.Martinez Fernandez, C., Audirac, I., Fol, S., & Cunningham‐Sabot, E. (2012). Shrinking cities: Urban challenges of globalization. International journal of urban and regional research, 36(2), 213-225.
    27.Matthews, R. B., Gilbert, N. G., Roach, A., Polhill, J. G., & Gotts, N. M. (2007). Agent-based land-use models: A review of applications. Landscape Ecology, 22(10), 1447–1459. https://doi.org/10.1007/s10980-007-9135-1
    28.Nassauer, J. I., & Raskin, J. (2014). Urban vacancy and land use legacies: A frontier for urban ecological research, design, and planning. Landscape and urban planning, 125, 245-253.
    29.Newman, G., Lee, J., & Berke, P. (2016). Using the land transformation model to forecast vacant land. Journal of Land Use Science, 11(4), 450-475.
    30.Newman, G., Hollander, J. B., Lee, J., Gu, D., Kim, B., Lee, R. J., ... & Li, Y. (2018). Smarter shrinkage: A neighborhood-scaled rightsizing strategy based on land use dynamics. Journal of Geovisualization and Spatial Analysis, 2, 1-20.
    31.Northam, R. M. (1971). Vacant Urban Land in the American City. Land Economics, 47(4), 345. https://doi.org/10.2307/3145071
    32.Omrani, H., Tayyebi, A., & Pijanowski, B. (2017). Integrating the multi-label land-use concept and cellular automata with the artificial neural network-based Land Transformation Model: an integrated ML-CA-LTM modeling framework. GIScience & Remote Sensing, 54(3), 283-304.
    33.Pagano, M., & Bowman, A. (2004). Vacant land as opportunity and challenge. Recycling the city: The use and reuse of urban land, 15-32.
    34.Pallagst, K., Fleschurz, R., Nothof, S., & Uemura, T. (2018). PlanShrinking2-Trajectories of Planning Cultures in Shrinking Cities: The cases Cleveland/USA, Bochum/Germany, and Nagasaki/Japan. IPS Working Paper. 2018. Available online: https://www. ru. uni-kl. de/fileadmin/intplan/Publikationen/Working_Paper_Series/IPS_WP_1_2018_-_PlanShrinking. pdf (accessed on 2 August 2021).
    35.Pijanowski, B. C., Brown, D. G., Shellito, B. A., & Manik, G. A. (2002). Using neural networks and GIS to forecast land use changes: A Land Transformation Model. Computers, Environment and Urban Systems, 26(6), 553–575. https://doi.org/10.1016/S0198-9715(01)00015-1
    36.Pijanowski, B. C., Tayyebi, A., Doucette, J., Pekin, B. K., Braun, D., & Plourde, J. (2014). A big data urban growth simulation at a national scale: configuring the GIS and neural network based land transformation model to run in a high performance computing (HPC) environment. Environmental Modelling & Software, 51, 250-268.
    37.Pontius, R.G. (2000). Quantification Error Versus Location Error in Comparison of Categorical Maps, Photogrammetric Engineering and Remote Sesing,66 (8):1011-1016.
    38.Popper, D. E., & Popper, F. J. (2002). Small can be beautiful. Planning, 68(7), 20-23.
    39.Sánchez-Moral, S., Méndez, R., & Prada-Trigo, J. (2013). Resurgent Cities: Local Strategies and Institutional Networks to Counteract Shrinkage in Avilés (Spain). European Planning Studies, 23(1), 33–52. https://doi.org/10.1080/09654313.2013.820084
    40.Schilling, J., & Logan, J. (2008). Greening the Rust Belt: A Green Infrastructure Model for Right Sizing America’s Shrinking Cities. Journal of the American Planning Association, 74(4), 451–466. https://doi.org/10.1080/01944360802354956
    41.Sousa, S., & Pinho, P. (2015). Planning for shrinkage: Paradox or paradigm. European planning studies, 23(1), 12-32.
    42.Tewedros, G., & Tsadik, B. (2010). Development of urban vacant land. The case of Addis Ababa-along ring road from Bole Suware to Meganaga Square.
    43.Turok, I., & Mykhnenko, V. (2007). The trajectories of European cities, 1960–2005. Cities, 24(3), 165-182.
    44.Verburg, P. H., Schot, P. P., Dijst, M. J., & Veldkamp, A. (2004). Land use change modelling: current practice and research priorities. GeoJournal, 61, 309-324.
    45.Weaver, R. C. (1977). The Suburbanization of America Or the Shrinking of the Cities. Civil Rights Digest.
    46.White, R., Uljee, I., & Engelen, G. (2012). Integrated modelling of population, employment and land-use change with a multiple activity-based variable grid cellular automaton. International Journal of Geographical Information Science, 26(7), 1251-1280.
    47.Wiechmann, T., & Pallagst, K. M. (2012). Urban shrinkage in Germany and the USA: A Comparison of Transformation Patterns and Local Strategies. International Journal of Urban and Regional Research, 36(2), 261–280. https://doi.org/10.1111/j.1468-2427.2011.01095.x
    48.Wiechmann, T., & Bontje, M. (2015). Responding to Tough Times: Policy and Planning Strategies in Shrinking Cities. European Planning Studies, 23(1), 1–11. https://doi.org/10.1080/09654313.2013.820077
    49.Wolff, M., & Wiechmann, T. (2014). Indicators to measure shrinking cities. Martinez-Fernandez, Cristina; Fol, Sylvie; Weyman, Tamara; Musterd, Sako: A Conceptual Framework for Shrinking Cities. COST Action TU0803: Cities Re-growing Smaller (CIRES).
    50.Wu, X., Liu, X., Zhang, D., Zhang, J., He, J., & Xu, X. (2022). Simulating mixed land-use change under multi-label concept by integrating a convolutional neural network and cellular automata: A case study of Huizhou, China. GIScience & Remote Sensing, 59(1), 609-632.
    51.Yoo, H., & Kwon, Y. (2019). Different factors affecting vacant housing according to regional characteristics in South Korea. Sustainability, 11(24), 6913.

    法規計畫
    本國法規計畫
    1.閒置空間利用獎助辦法(2001)。行政院文化建設委員會。
    日本法規計畫
    1.都市再生特別措置法(2014)。日本國土交通省。
    2.立地適正化計畫(2014)。日本國土交通省。

    研究報告
    1.国土交通省住宅局(2019)。令和元年空き家所有者実態調査報告書。
    2.社会資本整備審議会(2003)。国際化、情報化、高齢化、人口減少等 21 世紀の新しい潮流に対応した 都市再生のあり方はいかにあるべきか」答申 『都市再生ビジョン』

    統計資料
    1.低度及待售住宅。內政部不動產資訊平台。檢自 https://pip.moi.gov.tw/V3/B/SCRB0501.aspx?mode=A3。
    2.台南市歷年人口統計分析資料。臺南市政府民政局。檢自https://bca.tainan.gov.tw/News_Content.aspx?n=1134&s=8157。
    3.111年臺南市北區統計年報。臺南市北區區公所。檢自https://www.tnnorth.gov.tw/News_Content.aspx?n=8009&s=8561360。
    4.111年臺南市中西區統計年報。臺南市中西區區公所。檢自https://web.tainan.gov.tw/tnwcdo/News.aspx?n=19962&sms=18808。
    5.111年臺南市東區統計年報。臺南市東區區公所。檢自https://www.tneast.gov.tw/News_Content.aspx?n=23660&s=7656041。
    6.111年臺南市南區統計年報。臺南市南區區公所。檢自https://www.tnsouth.gov.tw/News_Content.aspx?n=16981&s=8578163。

    書籍
    中文書籍
    1.饗庭伸(2015)。折疊都市:從日本的都市規劃實踐經驗,探尋人口減少時代的城市設計和人本生活(林書嫻譯)。臉譜出版。(原著出版於2015年)

    外文書籍
    1.Bowman, A. O. M. (2004). Terra incognita: Vacant land and urban strategies. Georgetown University Press.
    2.Berger, A. (2006). Drosscape: Wasting land in urban America. New York: Princeton.
    3.Pagano, M. A., & Bowman, A. O. M. (2000). Vacant land in cities: An urban resource (pp. 1-9). Washington, DC, USA: Brookings Institution, Center on Urban and Metropolitan Policy.
    4.Schilling, J., & Mallach, A.(2012). Cities in transition: A guide for practicing planners. APA, Planners Press.

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