Abstract：Studies of built environment indicate that quality of street space has vital influences on public life and the image of city. In this paper, a new approach for quality evaluation and variation identification was proposed. Impact factors were partially recognized afterward.Massive street view pictures were captured as a new dataset to represent street space surrounding the renewal residences in Beijing from 2005 to 2013. The scores show that quality of the sample street space is generally poor, of which only 10 percent received superficial improvement. The concept of smart design has not been implemented yet.
唐婧娴 龙瀛 翟炜 马尧天. 街道空间品质的测度、变化评价与影响因素识别——基于大规模多时相街景图片的分析[J]. 新建筑, 2016, 34(5): 110-115.
TANG Jingxian LONG Ying ZHAI Wei MA Yaotian. Measuring Quality of Street Space, Its Temporal Variation and Impact Factors: An Analysis Based on Massive Street View Pictures. New Architecture, 2016, 34(5): 110-115.
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