Beijing Public Transport Travel Flows and Transit Desert Identification

Morning and evening peak hour data within Beijing's 6th Ring Road supports research on public transport inefficiencies. The dataset integrates mobile phone signaling, AMap API, and geographic data to identify 121 flow transit deserts. Author Ci Song published this work on figshare in April 2026.

Use Cases

• Identify spatial clusters of inefficient travel flows using the public transport competition index and ant colony-optimization clustering algorithm.
• Analyze the relationship between transit desert locations and influencing factors like population distribution and jobs-housing balance.
• Compare flow-based transit desert characteristics against traditional location-based supply-demand analyses.
• Model the impact of transportation infrastructure on travel flow efficiency during peak hours.

Strengths

• Identifies 121 specific flow transit desert areas for analysis.
• Integrates three distinct data sources: mobile phone signaling, AMap API, and base geographic information.

Limitations

• Dataset scope is limited to the area within Beijing's 6th Ring Road.
• Temporal coverage is restricted to morning and evening peak hours only.
• Row count and specific column schema are not provided in the description.

Provenance

Source

Integrated data from mobile phone signaling, AMap API, and basic geographic sources.

Collection Method

Data processed and analyzed for the associated research manuscript.

Time Range

Morning and evening peak hours.

Freshness

Data supports a 2026 publication, indicating recent analysis.

Geography

Area within the 6th Ring Road of Beijing, China.