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完整後設資料紀錄
DC 欄位值語言
dc.contributor.advisor林楨家zh_TW
dc.contributor.advisorJen-Jia Linen
dc.contributor.author吳姃家zh_TW
dc.contributor.authorCheng-Chia Wuen
dc.date.accessioned2025-02-20T16:23:47Z-
dc.date.available2025-02-21-
dc.date.copyright2025-02-20-
dc.date.issued2025-
dc.date.submitted2025-01-09-
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dc.identifier.urihttp://tdr.lib.ntu.edu.tw/jspui/handle/123456789/96655-
dc.description.abstract全球暖化下,都會區的都市熱島效應逐漸增強。不同社會經濟條件的都市居民,也面臨熱曝險的不平等分配,形塑熱的社會不平等。本研究針對此議題,發展了三階段分析,目標是提出能調節臺北盆地都市熱島效應,並發展能減緩熱的社會不平等的都市規劃策略。
首先,本研究使用空間迴歸分析臺北盆地中地表溫度與都市型態的關係,發現建物形狀與密度顯著影響熱島強度。路網上高集中性的建物會強化地表熱島效應,而高可及性的路網設計可調節地表溫度。綠地則對地表溫度有最大的影響,可顯著降低地表溫度。其次,本研究用F’ANP架構評估臺北盆地各里的社會脆弱度,發現家戶所得是決定脆弱度最重要變數。最後,使用地表溫度與脆弱度數值,本研究辨識出臺北盆地中高熱曝險且高脆弱度的里,並以臺北市萬華區糖廍里為案例,模擬不同都市更新情境下的地表溫度。結果顯示,建造配有綠地的集合式公寓來取代低樓層且緊湊建物群,可降低更新街廓4.2%地表溫度。
本研究對亞洲都會區的都市規劃提出實務與熱島研究上重要意涵。分析結果顯示,除了改變建物與路網的型態規劃,增設綠基盤 (公園等開放式綠地) 也可調節都市熱島效應。此外,本研究提出了社會脆弱度評估方法,可協助以參與式決策討論都市的災害管理或氣候調適政策,協助政府或其他重要利害關係人辨識都市中的脆弱區域,達成具環境正義的都市氣候治理。
zh_TW
dc.description.abstractIn a warming climate, urban heat island (UHI) effects have intensified and result in unequal distribution of heat exposure for urban population with different socio-economic statuses. In response, this research conducted a three-stage analysis to mitigate UHI and thermal inequality in Taipei Basin via spatially targeted urban planning.
First, this research analyzed the relationship between land surface temperature (LST) and urban morphology in Taipei Basin using spatial regression and found that shape irregularity and density of buildings affected UHI. Road networks with close buildings would intensify UHI, while higher network accessibility mitigated UHI intensity. Green cover was found to have the largest impact on UHI. Second, this research estimated social vulnerability using F’ANP method and found household income as the most important determinant of vulnerability. Third, this research identified neighborhoods exposed to high UHI intensity and vulnerability and simulated urban renewal scenarios in Tangbu Li, Taipei City. Based on the current building cover ratio, simulation results indicate that replacing low-rise building clusters with condominiums and green spaces could reduce 4.2% LST in renewed blocks.
This research has implications for urban climate governance with adaptive urban renewals in Asian metropolises. The result suggests that UHI could be mitigated not only via optimizing the configuration of buildings and networks, but also by implementing green spaces. In addition, this research provides a social vulnerability assessment that effectively identifies vulnerable neighborhoods in a city. By incorporating vulnerability assessment in participatory planning procedure, stakeholders could examine the feasibility of adaptation plannings to achieve environmental justice and eliminate climate gaps.
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dc.description.tableofcontents謝誌 I
摘要 II
ABSTRACT III
CONTENTS IV
LIST OF FIGURES VI
LIST OF TABLES VII
1. INTRODUCTION 1
1.1 MOTIVATION AND OBJECTIVE 1
1.2 RESEARCH SCOPE 2
1.3 RESEARCH FRAMEWORK 5
2. LITERATURE REVIEW 7
2.1 URBAN HEAT ISLAND (UHI) 7
2.2 UHI AND SOCIO-ECONOMIC FACTORS 8
2.3 ENVIRONMENTAL INJUSTICE AND CLIMATE GAP 9
2.4 SOCIAL VULNERABILITY INDEX (SOVI) 12
2.5 URBAN MORPHOLOGY ANALYSIS 17
2.5.1 Space syntax 17
2.5.2 Landscape ecological indices of land configuration 18
2.5.3 Urban network analysis 19
2.6 RESEARCH GAPS 20
3. METHOD 24
3.1 ANALYSIS FACTOR AND INDEX 24
3.1.1 Urban morphology analysis 24
3.1.2 Social vulnerability 26
3.1.3 Control variable 32
3.2 DATA 32
3.3 ANALYSIS PROCEDURE 35
3.3.1 Urban morphology and UHI analysis 35
3.3.2 Social vulnerability assessment 37
4. RESULT 46
4.1 URBAN DRIVERS OF UHI 46
4.2 SOCIAL VULNERABILITY 49
4.3 ADAPTATION STRATEGY FOR HIGH-RISK NEIGHBORHOOD 55
4.3.1 Impact and spatial spillover effect of UHI drivers 55
4.3.2 Identification of high heat-risk neighborhood 59
4.3.3 Urban renewal case study 63
5. DISCUSSION 68
5.1 UHI DRIVERS IN ASIAN METROPOLIS 68
5.2 SOCIAL VULNERABILITY TO HEAT EXPOSURE 70
5.3 UHI MITIGATION VIA URBAN SPATIAL PLANNING 72
6. CONCLUSION 74
REFERENCES 77
APPENDIX 1 92
APPENDIX 2 BASE MAPS OF VARIABLES IN SARAR MODELS 100
APPENDIX 3 EXPLANATION FOR SUB-METRICES IN F’ANP 103
APPENDIX 4 RESULT OF SARAR MODELS USING NEIGHBORHOOD AS SPATIAL UNIT 106
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dc.language.isoen-
dc.subject都市型態zh_TW
dc.subject熱的不平等zh_TW
dc.subject社會脆弱度zh_TW
dc.subject空間型構zh_TW
dc.subject都市熱島zh_TW
dc.subjectthermal inequalityen
dc.subjectspace syntaxen
dc.subjecturban morphologyen
dc.subjecturban heat islanden
dc.subjectsocial vulnerabilityen
dc.title都市空間中「熱」的不平等:臺北盆地熱島效應、都市型態與社會脆弱度之關聯分析zh_TW
dc.titleThermal inequality in a metropolis: Spatial analysis of urban heat island, urban morphology, and social vulnerability in Taipei Basinen
dc.typeThesis-
dc.date.schoolyear113-1-
dc.description.degree碩士-
dc.contributor.oralexamcommittee劉仲恩;石婉瑜zh_TW
dc.contributor.oralexamcommitteeChung-En Liu;Wan-Yu Shihen
dc.subject.keyword都市熱島,都市型態,空間型構,社會脆弱度,熱的不平等,zh_TW
dc.subject.keywordurban heat island,urban morphology,space syntax,social vulnerability,thermal inequality,en
dc.relation.page109-
dc.identifier.doi10.6342/NTU202500057-
dc.rights.note同意授權(全球公開)-
dc.date.accepted2025-01-09-
dc.contributor.author-college理學院-
dc.contributor.author-dept地理環境資源學系-
dc.date.embargo-lift2030-01-08-
顯示於系所單位:地理環境資源學系

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