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系統識別號 U0026-1908201521202800
論文名稱(中文) 基於密度指標的建成環境類型-型態分析
論文名稱(英文) Typomorphological Method for Exploring Built Environments Based on Density Measures
校院名稱 成功大學
系所名稱(中) 都市計劃學系
系所名稱(英) Department of Urban Planning
學年度 103
學期 2
出版年 104
研究生(中文) 陳彥佑
研究生(英文) Yen-Yu Chen
學號 P26025013
學位類別 碩士
語文別 英文
論文頁數 93頁
口試委員 指導教授-林漢良
口試委員-林峰田
口試委員-張秀慈
口試委員-邱景升
中文關鍵字 類型型態  建成環境  建築型態  密度 
英文關鍵字 typomorphology  built environment  building type  density 
學科別分類
中文摘要 量測與控管都市密度一直是都市計畫操作的關鍵方法之一,其影響的面向尤其彰顯在建成環境的類型上;在型態研究中,密度也被常作為了解都市地景產生與變化的工具。密度雖然可提供精密的統計數據,然而現有描述建築量體與土地的密度指標多樣且標準不一,數據也無法完整傳達實質型態(physical form)的意涵。據此,本研究企圖探討現有密度指標對於描述建成環境的限制,並提出一個基於密度指標的建成環境類型-型態分析方法(typomorphological method)。

本研究運用建蔽率(GSI)、容積率(FSI)、樓層數(L)、開放空間比例(OSR)四項衡量都市密度的指標做為量測建成環境類型的描述工具,並從資料探勘的角度,計算所有建築基地的各項指標並進行群落分析,以找出建成環境實質型態之類型。最後再運用核密度分析視覺化各類型的密度指標變異範圍以及其在空間中分布的情形。本研究根據此方法以原台中市為操作案例進行實證,最後歸納出九種建築類型。各種類型皆可反映其各自的地理、文化、政治、及經濟等之需求。此方法之操作成果可做為從密度辨別出都市中各種建築類型的方法,也可從其分布的範圍探討建成環境的成長與變遷歷程。
英文摘要 Density measures has long been an integral tool in urban planning, whilst its application in typomorphological studies of interpreting built forms has since then been established and applied in understanding the production and transformation process of urban landscapes. However, the operational definitions of existing density measurements used in describing the physicality of built forms has not been entirely consistent. Furthermore, despite the precision in statistical description offered by density measures, the semantic translation and relation to typological properties of the built form remained weak. This research aims to address the existing problems and proposes an integrated typomorphological method based on density measures.

The research explores the physical form of built environments uses the density measures of Ground Space Index (GSI), Floor Space Index (FSI), Floors (L), and Open Space Ratio (OSR). Data mining of underlying building types are explored using cluster analysis based on said measures, whilst the density parameters and spatial distribution distinctive of each building type are visualized and interpolated using kernel density estimation. Furthermore, the research has developed a conceptual framework for understanding the dynamics behind emergent processes manifested within the built environment, particularly through the investigation of co-occurrences in density measures, and the variability and spatial distribution of building types. Initial findings in the test case of Taichung City showed nine significant building type clusters, proving that intrinsic density conditions specific of certain building types do exist, and each are pertinent to specific density conditions that are adaptive and aligned with the demands of geographical, cultural, political, and economic circumstances. Circumstances are found to be both contributory and limitative of certain building types, and only when conditions change will new types emerge and existing types be replaced or evolve to respond to new dispositions.
論文目次 1. Introduction 1
1.1. Research aim and objectives 2
1.2. Research methodology 3
1.3. Thesis structure 4
2. Density measures and the typomorphological approach 6
2.1. Density in urban planning 6
2.2. Existing density measures 8
2.3. Inconsistencies and ambiguities in the application of density measures 13
2.3.1. Subjection to MAUP 14
2.3.2. Defining the spatial unit of analysis 16
2.3.3. Reflection of built form 18
2.3.4. Classifying building typologies 21
2.4. The Typomorphological Approach 24
3. Methodology for typomorphological study based on density measures 27
3.1. Solutions to the inconsistency and ambiguities of density measures 27
3.1.1. Plot as the common denominator 28
3.1.2. Multivariate approach 30
3.1.3. Automated classification of building typology 33
3.1.4. Statistical profiling of building types 35
3.2. Explorative and empirical research 36
4. Method implementation 40
4.1. Study area 41
4.2. Database formulation 41
4.2.1. Base data 42
4.2.2. Data cleaning 42
4.2.3. Calculation of density measures 43
4.3. Exploratory data analysis 44
4.3.1. Scatterplot matrix 45
4.3.2. Cluster analysis 45
4.3.3. Linear programming 46
4.3.4. Kernel density estimation 47
4.4. Empirical data analysis 49
4.4.1. Semantic translation of discovered building types 49
4.4.2. Variation between archetypes and deviations 49
4.4.3. Implicit dynamics of building types 51
5. Typomorphological analysis of Taichung City 52
5.1. Interpreting descriptive statistics of GSI, FSI, L, and OSR 52
5.1.1. Measures of location 54
5.1.2. Measures of variability 55
5.1.3. Comparative study of Taichung City and Manhattan 57
5.2. Bivariate correlation of density measures 59
5.2.1. Implications of building coverage 60
5.2.2. Implications of building height 62
5.3. Interpretations of building types 63
5.4. Dynamics of building types 76
5.4.1. Dynamics of building types 76
5.4.2. Spatial distribution of building type 78
6. Conclusion 85
6.1. Summary of findings 85
6.2. Recommendations and future research 86
References 88
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