2024 年中国公交网络综合矢量数据集

基于 2024 年高德地图和百度地图 API 查询数据，结合 OSM 数据交叉验证与整理，生成中国 299 个城市（含 293 个地级市、4 个直辖市、2 个特别行政区，三沙市数据暂空）的公交网络综合矢量数据。数据以 Shapefile 格式存储，包含公交站和公交路线两类核心数据：公交站数据含站名、所属路线编号及首末站信息；公交路线数据区分有方向与无方向，同时构建了含节点（公交站）和无向边（路线段）的拓扑网络。经与 OSM 数据及官方统计对比，数据集完整性与时效性更优，可用于公交网络模式分析、国际比较及交通优化研究，为可持续城市交通发展提供数据支持。

Based on 2024 query data retrieved from Amap and Baidu Maps APIs, combined with cross-validation and data curation using OpenStreetMap (OSM) data, this dataset provides comprehensive vector data of public transit networks across 299 cities in China. The covered cities include 293 prefecture-level cities, 4 municipalities directly under the Central Government, and 2 special administrative regions, with data for Sansha City temporarily unavailable. Stored in Shapefile format, the dataset contains two core types of data: public transit stops and transit routes. The transit stop data includes stop names, associated route numbers, and information on origin and terminal stops. The transit route data distinguishes between directional and non-directional routes, and constructs a topological network composed of nodes (public transit stops) and undirected edges (route segments). Compared with OSM data and official statistical records, this dataset features better integrity and timeliness. It can be applied to public transit network pattern analysis, international comparative studies, and transportation optimization research, providing data support for sustainable urban transportation development.

搜集汇总

背景与挑战

背景概述

该数据集为2024年中国299个城市的公交网络综合矢量数据，包含公交站点和线路信息，基于高德、百度地图API和OSM数据整合而成，具有高完整性和时效性，适用于交通研究和城市可持续发展分析。