Land-Use Restructuring and Light-Duty Vehicle CO₂ Emissions for High-Density Urban Centers

An integrated modeling framework for high-density urban centers links land-use composition to zone-level CO₂ emissions from light-duty passenger vehicles. The dataset, created by Minghui Li and last updated in April 2026, includes three Markov-derived land-use scenarios for 2025 and 2030, processed through a calibrated transport chain. It couples mixed-use development trip generation, a taxi-GPS-calibrated gravity model, and a three-perspective CO₂ attribution scheme.

Use Cases

• Modeling future transportation CO₂ emissions based on projected land-use scenarios.
• Analyzing the impact of mixed-use development on trip generation and vehicle emissions.
• Attributing emissions spatially using origin-based, destination-based, and movement-based accounting schemes.
• Calibrating urban transportation models using taxi GPS data.

Strengths

• Includes three distinct future land-use scenarios for 2025 and 2030, generated by a vector-based cellular automaton.
• Employs a three-perspective attribution scheme (origin, destination, movement) for detailed spatial analysis.
• The transport model is calibrated using taxi GPS data, suggesting a data-driven approach.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment.
• The geographic scope of the 'high-density urban centers' is not explicitly stated.

Provenance

Source

figshare

Collection Method

Modeled data generated by an integrated framework coupling land-use scenarios, a calibrated transport chain, and CO₂ accounting.

Time Range

Scenarios for 2025 and 2030.

Freshness

Last updated 2026-04-27 13:37:07; freshness should be verified.

Geography

High-density urban centers (specific locations not stated).