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- Title
基于街景影像和手机信令数据的城市街道安全性研究.
- Authors
肖 通; 李德平; 万义良; 金 瑞; 王 柱; 高 伟; 费玉雯
- Abstract
The accelerated urbanization process leads to more prominent street safety problems, and it is important to explore the spatial distribution of urban street safety for sustainable urban development Previous studies have used urban visual elements to portray the spatial distribution of street safety, but ignored the difference between the real safety and the sense ol street safety・ In this paper, street view images and mobile signaling data are used to reduce the 'perceptual difference11 by combining K-means and Cartesian product models. Finally, we obtain the safety distribution of urban streets in the main urban area of Changsha・ It is found as follows. 1) In the main urban area of Changsha, the overall trend of safety perception index in the circle distribution is decreasing, and the main reason for the decreasing trend is that the proportion of visual elements in buildings is decreasing too fast and the proportion of visual elements in the sky is gradually increasing. 2) The urban safety perception in the main urban area of Changsha presents a double circle structure, and the areas with high safety during daytime, low safety at night and the lowest overall safety are mainly distributed in the main center of the main urban area of Changsha, with an obvious aggregation phenomenon. Some suggestions are put forward for street optimization through the analysis of urban street safety, which provide important references lor urban planning.
- Subjects
CHANGSHA (Hunan Sheng, China); URBAN planning; CITIES &; towns; SUSTAINABLE urban development; INNER cities; URBANIZATION
- Publication
Geography & Geographic Information Science, 2022, Vol 38, Issue 1, p71
- ISSN
1672-0504
- Publication type
Article
- DOI
10.3969/j.issn.1672--0504.2022.01.011