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系統識別號 U0026-2907202022555400
論文名稱(中文) 大數據驅動之都市參數化設計方法探討:以低碳永續社區為例
論文名稱(英文) Data-Driven Approach to Parametric Urban Design Methodology: Take a Low-carbon community As an example
校院名稱 成功大學
系所名稱(中) 建築學系
系所名稱(英) Department of Architecture
學年度 108
學期 1
出版年 109
研究生(中文) 陳冠霖
研究生(英文) Kuan-Lin Chen
學號 N76064155
學位類別 碩士
語文別 中文
論文頁數 97頁
口試委員 指導教授-鄭泰昇
口試委員-李子璋
口試委員-邱浩修
中文關鍵字 大數據  數據驅動設計  參數化主義  都市型態學  多目標優化系統  智慧城市 
英文關鍵字 Big-Data  Data-Driven Design  Parametricism  Multi-objective optimization  Smart City 
學科別分類
中文摘要 智慧城市迅速成為一種看待城市的新思維,隨著資料透明性、即時性與大數據的建立,多維度的資料讓我們有更廣的視野去理解城市問題與更多影響城市環境的因素。
不過隨著全球化下的都市化,還有近年氣候變遷等問題,城市中所衍生出來的矛盾與複雜性需要一個城市整合的方法與流程去處理,輔助設計者、規劃者、政策家、數據科學家等不同領域的介入與討論。當前也逐漸衍生出以數據驅動的設計方法來面對當今都市中快速演變的發展趨勢。
本研究以減緩家戶能源消費為目標,並以低碳永續社區為例,透過大數據處理方法與參數化設計結合,呈現社區尺度下的都市衍生設計、都市型態計算、參數規則與機制等流程建立。
本研究將分三個階段: (1)隨著數據技術的興起,如何於設計與規劃階段建立一個數據處理的方法(2)數據驅動如何整合進運算式設計,以回應動態複雜的環境(3)人機互動的系統如何建置,輔助由數據驅動的智慧永續都市。
本研究主要的貢獻包含: (1)將過往參數化都市設計的方法做整理,找出之間各自優勢的部分(2)試著用適當的分類法,將設計中的資料處理與機器解讀的量化標準做格式上的統一,並在最佳化技術的輔助下,衍生出一系列的模型以回應不同面向的環境問題。
目前,數據驅動下智慧永續都市設計,在面對社會與文化上的議題,例如: 在設計中定義趨勢參數以回應環境未來的變化,此部分仍有許多發展空間,後續可能透過與不同領域的討論與研究,形成一個具有開放性的平台,將城市的理論與數據整合,以發展出一套完整的設計流程與方法。
英文摘要 Under the rise of smart city, planner have been using data-science to improve our understanding of environmental issues. Especially the climate change is getting worse in recent years. While during the nineties the main challenge was coping with quantity, almost twenty years later, the situation becomes more ambiguous. Now, many fields have concerns with data collection,aggregation and analytical methods to understand various phenomena. Consequently this paper propose a city planning methodology according to the big data paradigm, how it affect urban decision-making process and their short- and long-term in cities.
論文目次 摘要 I
英文摘要 II
謝誌 IV
目錄 V
表目錄 VII
圖目錄 IX
第一章 緒論 1
1.1 研究背景 2
1.2 研究動機 4
1.3 研究議題 5
1.4 研究目標與範疇 8
1.5 研究流程 12
第二章 文獻回顧 13
2.1 大數據與永續相關理論 14
2.2 都市空間與能源消費關係 15
2.3參數化設計與都市主義 19
2.4 數據驅動都市設計 28
2.5小結 32
第三章 研究設計與方法 33
3.1 數據驅動智慧永續城市 34
3.1.1 都市能源相關研究方法 34
3.1.2 研究方法選擇 34
3.2 操作流程架構 35
3.2.1 衍生設計 36
3.2.2 人機協同 36
3.2.3 敘述性統計 40
3.2.4 相關分析 40
3.2.5 SVM-支援向量機(Support Vector Machine)與函式 40
3.3 變數選取設定 42
3.3.1 應變數 43
3.3.2 自變數 43
第四章 都市空間與能源資料說明 47
4.1 資料來源 48
4.2 資料分析(一)-樣本敘事 50
4.2.1應變數資料 50
4.2.2自變數資料 51
4.3 資料分析(二)-相關性分析 65
4.3.1手機CVP資料說明 65
4.3.2相關係數對照表 66
4.3.3資料標準化分布 67
4.3.4都市空間與手機信令資料相關性分析 68
4.4 資料分析(三)-監督式學習與函式 69
第五章 永續低碳社區設計方案 77
5.1 基地說明 78
5.1.1 沙崙智慧循環生態城市 78
5.1.2 永續低碳社區設計概念 79
5.2 設計說明 80
5.2.1 設計方法 80
5.2.2 設計流程 82
5.2.3 設計提案 84
5.3 小結 90
第六章 結論與建議 92
6.1 結論 92
6.2 研究限制 93
6.2.1 資料不同尺度評估與資料取得限制 93
6.2.2 量測限制 93
6.3 後續研究與建議 93
參考文獻 94
附錄 97
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