中国公共交通运营网络数据集 (CPTOND-2025):全国范围的公共汽车-地铁矢量数据集
Liang Wang1,2, He Wei2, Yu Guan2
1School of Economics and Management, Beijing Jiaotong University, Beijing, 100044, China.
Scientific data
|January 13, 2026
概括
中国中国中国中国.
科学领域:
- 城市规划 城市规划
- 运输工程 运输工程
- 地理信息系统 地理信息系统
背景情况:
- 公共交通数据对于城市规划和可持续发展至关重要.
- 中国拥有世界上最大的公共交通网络,主要是公共汽车和地铁.
- 现有的国家级数据集缺乏全面整合公共汽车和地铁运营.
研究的目的:
- 引入中国公共交通运营网络数据集 (CPTOND-2025).
- 提供一个标准化,开放的数据集,整合中国各地的公共汽车和地铁网络.
- 支持运输效率,网络分析,可访问性和以过境为导向的发展方面的研究.
主要方法:
- 350个城市的公共汽车网络和46个城市的地铁系统的系统整合.
- 在2025年6月使用专业平台和商业API收集数据.
- 将数据标准化为Shapefile格式 (WGS-84) 以高空间精度.
主要成果:
- 该数据集覆盖了大约3,408,000公里的运营路线 (3,375,000公里的公共汽车,33,000公里的地铁).
- 包括关键属性,如营业时间,票价和公司,并提供双语支持.
- 实现了5.08米的平均空间精度.
结论:
- CPTOND-2025数据集是中国城市交通研究的重要资源.
- 允许对运输管理,可持续发展和以过境为导向的发展进行高级分析.
- 促进国际合作和数据驱动的决策在公共交通.
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