摘要
文章以北京市海淀区为主要研究范围,以KEEP健身APP的推荐路线大数据为数据源,结合GIS平台,针对该数据特征设计了一个研究方法的框架,从空间分布格局、路线特征偏好和城市绿地影响3个方面对北京市海淀区的慢行运动进行研究,并提出未来提升改造的建议和参考。
The sports like running and walking have become an important way for people to exercise and keep healthy,as people have higher demand for healthy living.In recent years,many people have used the mobile fitness APP to manage and monitor their daily exercise,resulting in a large amount of use data.This paper designs a research method framework in line with data characteristics which uses big data on recommended route by KEEP APP as the data source and adopts the GIS platform,in order to study the slow sports in Haidian District of Beijing in terms of spatial distribution pattern,route feature preference and urban green space effect.In the end,this paper provides suggestions and references for the future upgrade of urban slow sport space.
作者
谭立
王子尧
李倞
Tan Li;Wang Ziyao;Li Liang(School of Landscape Architecture,Beijing Forestry University,Beijing 100083,China)
出处
《中国城市林业》
2019年第6期35-40,共6页
Journal of Chinese Urban Forestry
基金
中央高校基本科研业务费专项资金(2015ZCQ-YL-02,2017Zl03)
国家自然科学基金青年科学基金项目“基于空间潜力和社会行为量化分析的城市型绿道网络识别和构建模式研究——以北京海淀区为例”(31600577)
北京林业大学建设世界一流学科和特色发展引导专项资金“京津冀生态空间多维度协同发展与环首都生态空间格局优化、实施策略研究”(2019XKJS0318)
