摘要
传统城市交通规划多以城市布局形态为基础,定性确定路网结构、道路功能、路网等级,缺乏交通数据支撑。大数据时代,互联网平台的POI数据、交通态势数据、公交数据等为城市交通规划提供了许多有价值的数据信息。该文利用网络爬虫技术获取城市交通规划相关的海量交通数据,通过GIS的可视化技术,实现了图形与数据的相互转换,将网络爬虫和GIS技术应用到城市交通规划中,为城市交通规划提供了科学的数据支撑和技术支持。
Traditional urban traffic planning is mainly based on the urban layout form,and qualitatively determines the road network structure,road functions and road network grades,which lacks the support of traffic data.In the era of big data,the POI data,traffic situation data and bus data from Internet platforms provide a lot of valuable data information for urban traffic planning.In this paper,the WebCrawler technology was used to obtain massive traffic data related to urban traffic planning,and the conversion between graphics and data was realized through the GIS visualization technology.The WebCrawler and GIS technology were applied to urban traffic planning,providing scientific data support and technical support for urban traffic planning.
出处
《重庆建筑》
2022年第S01期407-410,共4页
Chongqing Architecture
关键词
交通规划
网络爬虫
数据分析
地理信息系统
traffic planning
WebCrawler
data analysis
geographic information system
