| 刊名 | Journal of Landscape Research |
| 作者 | LIANG Weinan 1, HUANG Yi 1, WANG Zilin 2, ZHOU Xuan1 |
| 作者单位 | 1. North China University of Technology, Beijing 100144, China; 2. Beijing University of Civil Engineering and Architecture, Beijing 100037, China |
| DOI | 10.16785/j.issn 1943-989x.2024.5.006 |
| 年份 | 2024 |
| 刊期 | 5 |
| 页码 | 27-32,37 |
| 关键词 | Public health, High-density neighbourhoods, Cycling life circle, Precision update, Tiantongyuan community |
| 摘要 | In recent years, the compact development of high-density cities has sparked ongoing interest in healthy urban environments and public well-being. This study examines the relationship between cycling behaviors and the built environment of streets in Tiantongyuan Community, a typical high-density area in Beijing, China. By observing street spaces and summarizing residents' travel modes and behaviors, the study evaluates the impact of street design on cycling habits. In order to reveal the riding behavior characteristics of residents in different time periods and different street spaces, tools such as track recording APPs and the Gopro Motion Camera are employed to collect street view pictures and riding track data comprehensively, analyzing the various travel purposes of residents in Tiantongyuan community and the riding OD activity tracks of the main entrances and exits of the community. Meanwhile, by conducting the questionnaire survey of residents’ travel demands and OD data of Baidu, and utilizing geographic information system (GIS) for data visualization, this study further investigates the distribution characteristics of cycling hotspots, cycling paths and cycling space, accurately identifies the cycling life circle of this community based on the spatial and temporal scales, and further puts forward the optimization strategy of the cycling network. Some cycling-friendly street space optimization strategies are suggested to deeply analyze the mechanism of the built environment of street space in high-density communities on the cycling activities and health of urban residents, with a view to provide accurate data support for the renewal of street cycling space. |
