Beijing Public Transport Transit Deserts from Travel Flow Analysis, 2026

Data and code from the manuscript "Identifying Public Transport Transit Deserts from a Travel Flow perspective" by Ci Song, last updated in April 2026. The repository integrates mobile phone signaling data, AMap API data, and geographic information to identify 121 flow transit deserts within Beijing's 6th Ring Road during peak hours. It defines a public transport competition index and uses an ant colony-optimization based flow clustering algorithm for detection.

Use Cases

• Identifying public transport transit deserts based on travel flow inefficiency metrics.
• Analyzing the impact of population distribution and jobs-housing balance on transit deserts.
• Comparing flow-based transit deserts with traditional location-based analyses.
• Optimizing transport resource allocation based on detected irregularly shaped desert areas.

Strengths

• Identifies 121 specific transit desert areas within a defined geographic boundary (Beijing's 6th Ring Road).
• Integrates multiple data sources including mobile phone signaling and AMap API data.
• Includes reproduction code and instructions in a 691.1 MB repository.
• Uses a defined public transport competition index and a novel ant colony-optimization based clustering algorithm.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment.
• Data is specific to Beijing and morning/evening peak hours, which may limit generalizability.

Provenance

Source

Ci Song via figshare.

Collection Method

Integrates mobile phone signaling data, AMap API data, and basic geographic information.

Time Range

Morning and evening peak hours (specific dates unknown).

Freshness

Last updated 2026-04-23 03:48:15; freshness should be verified.

Geography

Within the 6th Ring Road of Beijing, China.