在都市發展與人口快速變動的環境下，為了避免都市空間的浪費或閒置，如何分析不同都市空間發展強度/密度與街道活力成為重要的議題。Jane Jacobs(1961/2016)於1961年提出都市的多樣性可以促進都市的街道活力乃至於街區、鄰里的活力，透過社會或經濟活動誘導人群聚集，提出了四個的原則(1)土地混合使用的多樣性 (2)小街廓的發展(3)新舊建築多元形態(4)人群的聚集。回顧街道活力的相關研究受到資料取得的限制，研究多以社會經濟資料，如住商混合使用程度、房價等作為街道活力的量測指標；隨著大數據發展趨勢以及技術提升，近年來的研究利用商業POI探討城市尺度地區隨時間發展的變化(Q.-S. He, W.-S. He, Song, Wu, Yin, and Mou, 2018)及城市間的發展比較(Ye, Li, and Liu, 2018)，或以大眾運輸搭乘資料(Sulis, Manley, Zhong, and Batty, 2018)等指標探討街道活力，仍然存在缺乏直接描述人群聚集與活動的指標，以及探討空間尺度大無法回應小街廓發展原則等缺口。
本研究主要「以商業空間為例探討不同建成環境呈現的街道活力」，主要以商業密度與多樣性、街道建築紋理與人流密度的三個原則，涵蓋Jane Jacobs所提的土地混合使用多樣性、小街廓的發展及人群聚集原則，且分別代表活動、空間、人流三個面向。商業密度與多樣性透過網路爬蟲取得商業店家POI點資料，以熱點分析區分商業活動發生的熱點，並以Shannon-Wiener指數分析不同空間單元之商業多樣性(亂度)。街道建築紋理以space mate密度指標將都市空間進行分類，描述建物量體與開放空間的比例關係，作為本研究建成環境分類的指標。人流密度包含(1)活動人口；自行架設相機蒐集商業熱點的影像資料，以YOLOv3/v4辨識行人及地理定位，投影至GIS軟體進一步分析人群集中熱點範圍(2)戶籍人口；以社會經濟統計資料庫最小統計區之人口統計資料，分析戶籍人口分布情況；將以桃園市兩大發展核心：桃園區及中壢區作為研究範圍，以路段及兩側建物為空間分析單元，透過相關分析探討商業熱區其建成環境與街道活力間的關係。
結果顯示建成環境與街道活力部分指標呈現正向相關性，且依據各商圈的發展特性有不同的顯著性，如在六和商圈之GSI與商業密度呈現0.439中度正相關，L與商業密度呈現-0.647中度負相關，而在其他商圈中建成環境與街道活力無顯著相關。進一步利用space mate導出的建成環境指標L與OSR，將四處商圈所有空間單元重新分類為高、中、低密度/強度發展區三類探討，結果顯示高、低密度/強度發展區GSI與商業密度皆呈現正相關，商業密度與戶籍人口數呈負相關，商業密度與活動人口呈現正相關，反映部分商業與居住機能並不是垂直混合使用情況，且商業活動多以水平方式使用，並說明商業活動密集度與活動人口的正向關係，整體而言能夠解釋Jane Jacobs所提出藉由都市多樣性的其中三個原則：「土地使用多樣性」、「小街廓式發展」、「人群聚集」，以誘發人群的聚集以促使活力的產生。

Commercial districts play an important role in economic development in urban areas. To avoid the waste or useless of urban space, how to analyze the development intensity/density and urban vitality of different urban spaces has become an important substitute in the environment of urban development and rapid population changes.
Reviewing the paper related urban vitality used socio-economic data, such as the degree of mixed use of residential and commercial properties, and housing prices as measurement indicators for urban vitality, and lack measurement of the activities people flow. Therefore, this study takes commercial hotspots as an example to explore the vitality of different built environments, and continues the four principles of Jane Jacobs (1961) that urban diversity can promote commercial vitality and even the vitality of neighborhoods and neighborhoods (1) mixed primary uses (2) small blocks (3) aged buildings (4) concentration. In response to the development trend of big data, obtaining POIs of commercial stores through web crawlers to calculate commercial density and diversity, and use image recognition to obtain pedestrian flow data, and use space mate density indicators to classify street spaces.
The results of the study pointed out that, according to the development characteristics of each business district, there are different significances. The GSI of Liuhe(六和) commercial area and the commercial density show a moderate positive correlation of 0.439. The built environment in other business districts has no significant correlation with the street vitality. It is suggested that in the future, further development strategies for spatial intensity and density can be formulated for different business districts in the same planned area.

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