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  

Measuring Quality of Street Space,Its Temporal Variation and Impact Factors:An Analysis Based on Massive Street View Pictures

作　　者：唐婧娴 龙瀛[1] 翟炜[1] 马尧天[1] 

机构地区：[1]清华大学建筑学院,北京100084

出　　处：《新建筑》2016年第5期110-115,共6页New Architecture

摘　　要：街道空间品质对城市形象和公共生活具有重要影响。试图构建"街道空间品质评估—品质变化特征识别—影响因素分析"的研究框架,利用北京市2005—2013年已有建设用地上的居住类土地出让信息,获取其周边多年份的街景图片,用于评价街道品质和空间变化判读。研究发现,样本街道的总体品质偏低,改善比例在10%左右,且多为表面化的整治。微观环境的优化措施尚未体现精细化设计理念。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.

关 键 词：空间品质 街道空间 量化评价 街景 

分 类 号：TU984.113[建筑科学—城市规划与设计]