摘要
公园广场是展现城市建设水平和体现居民幸福的重要指标,其可达性与人们生活息息相关。通过使用Python爬取高德地图中住宅小区和风景名胜类型中的公园广场的POI数据,分析住宅区与公园广场空间分布特征;结合交通路网数据,以生活圈内公园广场可达性为研究对象,使用网络分析法分别对步行与骑行两种交通方式可达性进行分析与评价。研究结果表明:15分钟生活圈内公园广场的步行可达性覆盖率为77%,骑行可达性覆盖率为95%。
The park square is an important indicator to show the level of urban construction and to reflect the happiness of residents.Its accessibility is closely related to people’s lives.The spatial distribution characteristics of residential areas and park squares were analyzed by using Python to crawl POI residential areas and park square data in Gaode Map.Combined with the traffic network data,the accessibility of park plazas within the living circle was studied,and the accessibility of two transportation modes,walking and cycling,was analyzed and evaluated with network analysis method.The results of the study showed that the coverage rate of the park plaza within the 15-minute living circle was 77%by walking and 95%by cycling.
作者
滕俊哲
王泽辉
彭家凯
李胜男
张昊
Teng Junzhe;Wang Zehui;Peng Jiakai;Li Shengnan;Zhang Hao
出处
《城市建筑》
2023年第15期70-73,共4页
Urbanism and Architecture
基金
国家自然科学基金国际合作与交流项目“西藏居民出行公平与城市道路设计协调理论与方法研究”(51968063)
大学生创新创业训练计划项目“高原地区车内智能化检测供氧换气装置”(S202310694017)。
关键词
社区生活圈
网络分析法
Python抓取
可达性
community living circle
network analysis method
Python crawling
accessibility
