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China Public Transport Operation Network Dataset (CPTOND-2025):National-Scale Bus-Metro Vector Dataset.

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Area of Science:

  • Urban Planning
  • Transportation Engineering
  • Geographic Information Systems

Background:

  • Public transport data is crucial for urban planning and sustainable development.
  • China has the world's largest public transport network, primarily buses and metros.
  • Existing national-scale datasets lack comprehensive integration of bus and metro operations.

Purpose of the Study:

  • To introduce the China Public Transport Operation Network Dataset (CPTOND-2025).
  • To provide a standardized, open-access dataset integrating bus and metro networks across China.
  • To support research in transportation efficiency, network analysis, accessibility, and Transit-Oriented Development.

Main Methods:

  • Systematic integration of bus networks from 350 cities and metro systems from 46 cities.
  • Data collection in June 2025 using professional platforms and commercial APIs.
  • Standardization of data into Shapefile format (WGS-84) with high spatial accuracy.

Main Results:

  • The dataset covers approximately 3,408,000 km of operational routes (3,375,000 km bus, 33,000 km metro).
  • Includes key attributes like operating hours, fares, and companies, with bilingual support.
  • Achieved an average spatial accuracy of 5.08 meters.

Conclusions:

  • The CPTOND-2025 dataset is a significant resource for urban transportation research in China.
  • Enables advanced analysis for transport management, sustainable development, and Transit-Oriented Development.
  • Facilitates international collaboration and data-driven decision-making in public transportation.