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系統識別號 U0026-0608201211330000
論文名稱(中文) 多重網絡之空間型構法則模型
論文名稱(英文) A Multiple Networks Model of Space Syntax
校院名稱 成功大學
系所名稱(中) 都市計劃學系碩博士班
系所名稱(英) Department of Urban Planning
學年度 100
學期 2
出版年 101
研究生(中文) 蔣於佑
研究生(英文) Yu-You Chiang
學號 p26994092
學位類別 碩士
語文別 中文
論文頁數 66頁
口試委員 指導教授-林漢良
口試委員-葉光毅
口試委員-陳彥仲
口試委員-邱景升
口試委員-李子璋
中文關鍵字 空間型構法則  軸線圖  多重網絡  網絡分析  多重運具網絡 
英文關鍵字 Space Syntax  Axial Map  Multiple Networks  Network Analyst  Multimodal Network 
學科別分類
中文摘要   空間型構法則是以圖形理論為基礎,藉由將量體以外的虛空間拓樸化、指標化以解析空間結構的一種技術。空間型構法則主張空間網絡的結構影響人們於空間中的移動特性;因此,透過空間結構的量化分析可以探討人的移動行為。行人對於如街道空間的空間解讀主要依據視覺的判識:能一眼看盡的部分屬於同一空間,否則即是另一個空間。所以,空間型構法便基於行人的可視性以「最長及最少」的軸線段構建「軸線圖」;並透過軸線圖的拓樸結構來表現都市空間系統的連接性,也依此來解構街道網絡的組織。
  然而,步行的活動範圍主要是在社區、地區或地域尺度的空間移動;文獻上傳統的空間型構法則也比較多應用於地區尺度的街道組織分析。但如家-工作、家-CBD或家-遊憩等的活動,往往是在整個都市或都會區的跨地區移動。其移動往往是結合捷運或公車等運輸網絡的轉乘移動。這樣的轉乘移動是結合街道網路、捷運網路以及公車路網等三種網路。其中,公車和捷運形成的網絡提供由一個地區的街道網路轉換到另一個地區街道網路的連接途徑。行人透過這種「路徑-站點」結合的移動模式可以完成長距離的移動。因此,討論都市尺度或都會尺度的空間連接狀況,不能單一考慮街道網路的組織而必須納入其他的的空間連接系統。
  本研究主旨便是提出結合街道網路與捷運網路的多重網絡空間型構法則模型。為了達到此目的,軸線圖與空間分析指標之定義必須修正以描述街道及捷運網絡的整合特性。其次,是軟體的解決方案;目前如UCL Depthmap 10及Mindwalk 1.0等空間型構法則的分析軟體並沒有多重網路的設計。本研究則使用ESRI ArcGIS來發展多重網絡模型的解決方案,建構完整的模型建置與分析流程,包括資料格式、建置方式到產出指標與比較分析方式,使其能應用於大型的街道網路的組織分析。
  實證研究部分則以高雄市之資料來實際操作模型的建置與分析,發掘實務上的問題以確定其實用性。在比較包含台鐵、捷運的多重網絡與純街道網絡後,本研究發現實驗地區8,579筆資料,其Mean Depth之平均值由街道網絡的之35.5923降至多重網絡之32.2761;車站周邊600公尺範圍內之各軸線MD平均值更由34.6957降至28.9467,其差異更為顯著。經過統計檢定後也的確檢測出兩網絡之間空間指標的資料分布有顯著差異。表示都市的空間結構確實會因大眾運輸網絡的連結而有所不同。因此,本研究建議後續研究能夠將此模型得到的多重網絡空間結構,與不同都市形態元素的紋理或趨勢比較,如土地使用、地價、人口、開發密度、動線和交通流量等,探討空間結構與都市形態元素之間的關係,來增進此研究的實用性。
英文摘要   Space syntax is a set of techniques for interpreting the spatial configuration by topologically indexing the free space based on graph theory. Space syntax argues that the configuration of spatial networks influences the movement of human beings. Thus, space syntax studies the moving behavior of human beings via the quantification and analyses of spatial configuration. People mainly rely on the visual interpretation to learn the street space. Therefore, space syntax models its primary tool, “Axial Map”, based on the “visibility” of pedestrians to represent the connectivity of urban systems in “longest and fewest” axial lines and decompose the organization of street network via the topological configuration of axial maps.
  However, the walking range of people is mainly around the scale of community, local or district. Most of the prior studies applied space syntax on local-scale analyses of street network as well. Nonetheless, the movement from homes to jobs, homes to CBDs, or homes to leisure, etc., is usually across city or region. Such movement relies on the transferring among buses and railways, combining the networks of street, bus and railway routes, which the networks formed by buses and railways provide the connection for people to move across local street networks. Pedestrians can go farther through the transit mode combined by “routes-stations”. Therefore, the analyses of spatial connectivity of cities or regions should not only contain the street network but also other spatially connecting systems.
  This article aims at a space syntax solution for multiple networks, combining street network and railway network including rapid transit systems. To achieve the goal, the definition of the axial map and spatial analysis indices should be adjusted to describe different networks of street and railways. Secondly, we have to find out the modeling solution. The existing software such as UCL Depthmap 10 and Mindwalk 1.0 are not designed for the analyses of multiple networks. The article develops the solution through ESRI ArcGIS to improve a complete model including the procedure of establishing and analyzing, in space syntax for applying it on the analyses of large-scale street networks.
  The data of Kaohsiung City were used in experimental study to examine the practicability of the model. We compared the results of multiple networks including TRA and KMRT systems with street network, and found that the spatial structure is actually different because of the public transit networks. Thus, the suggestion for further researches is the application of the multiple networks model on the patterns or trends of different urban elements. The practicability of the model can then be examined, and the relationships between the urban configurations of varied transit models and other elements of urban form can also be understood.
論文目次 第一章 緒論
第一節 研究動機與目的…………………………………………………… 1
第二節 研究範疇與限制…………………………………………………… 3
第三節 研究內容與流程…………………………………………………… 5

第二章 文獻回顧
第一節 空間型構法則(space syntax)………………………………… 6
第二節 空間型構法則於人車移動(movement)之研究 ………………12

第三章 研究模型設計
第一節 概念模型……………………………………………………………16
第二節 軸線圖(Axial Map)定義探討 ………………………………… 18
第三節 空間分析指標定義探討……………………………………………20

第四章 研究模型建置
第一節 既有軟體測試………………………………………………………24
第二節 資料繪製與模型建置………………………………………………27
第三節 運算操作與指標產出………………………………………………32
第四節 比較分析方法………………………………………………………36

第五章 模型實驗結果
第一節 實驗地區資料說明…………………………………………………37
第二節 實驗地區全區比較分析……………………………………………38
第三節 實驗地區車站周邊比較分析………………………………………46

第六章 結論與建議
第一節 結論…………………………………………………………………53
第二節 模型驗證與後續研究建議…………………………………………54

參考文獻…………………………………………………………………… 56
附錄一:模型建置流程操作畫面範例…………………………………… 60
附錄二:距離運算操作畫面範例………………………………………… 65
參考文獻 一、中文文獻
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二、外文文獻
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三、網頁資料
46. ESRI, ArcGIS Resource Center (http://resources.arcgis.com)
47. Space Syntax (http://www.spacesyntax.com)
48. 內政部地政司全球資訊網 (http://www.land.moi.gov.tw/chhtml/)
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