摘要
文中基于多源的开放数据,以Strava平台的路径骑行使用频率可视化数据、Google Maps平台的街景数据以及开源地图的空间矢量数据为基础,从骑行路径的外部要素以及内部要素两个方面,对高频骑行路径特征进行分析与挖掘。针对研究成果从骑行体系的规划设计策略、骑行路径的功能设计策略以及环境设计策略3个方面对我国的骑行路径建设提出设计策略。
Based on multi-source open data, this paper analyzes the characteristics of high frequency cycling path based on the visualization data of route cycling usage frequency on the Strava platform, the street view data of the Google Maps platform, and the spatial data of open maps. The characteristics of high-frequency cycling route are analyzed from two aspects: the external features and internal features of the routes. According to the research results, the design strategies are proposed from three aspects: cycling path system, the function and environment design of the cycling path.
作者
孙运娟
罗鹏
SUN Yunjuan;LUO Peng(School of Architecture,Harbin Institute of Technology,Key Laboratory of Cold Region Urban and Rural Human Setdement Environment Science and Technology,Ministry of Industry and Iniormation Technology,Harbin 150090,China)
出处
《低温建筑技术》
2021年第9期32-36,共5页
Low Temperature Architecture Technology
基金
国家自然科学基金面上项目(52078156)。
关键词
开放数据
城市骑行路径
骑行环境偏好
骑行友好城市
open data
urban cycling path
cycling environment preference
cycling friendly cities
