Spatial-Temporal Features of Taxi Carbon Dioxide Emissions and Reduction Strategies
This study utilized GPS traces and a microscopic model to analyze the emissions in Changzhi, China. The research findings show that idling emissions accounted for about 7.61% of the total emissions. CO2 emissions from taxis when not carrying passengers account for 56.72% of the total emissions, and the prisoner’s dilemma was identified as a crucial reason. The emissions across intersections and road sections followed a truncated power-law distribution, with a few intersections and road sections responsible for the greatest quantity of CO2 emissions, named gross polluted intersections and road sections. To reduce CO2 emissions from taxis, this paper proposes three emissions reduction strategies. The analysis results indicate that signal timing optimization for gross polluted intersections and implementing the green wave band for gross polluted roads can achieve more significant CO2 reduction effects. Additionally, implementing taxi restriction policies can transform the prisoner’s dilemma into a cooperative game and achieve Pareto optimization.
Authors
- Chunjiao Dong
- Y X Li
- Mingzhi Wang (ORCID: https://orcid.org/0000-0002-6159-9542)
- Junyue Wang
- Jingdong Jin
Institutions
- Beijing Jiaotong University (CN)
Publication Details
- Published
- 2024-12-11
- DOI
- https://doi.org/10.1061/9780784485484.293
- Primary Topic
- Vehicle emissions and performance
- Type
- article
- Field-Weighted Citation Impact
- 0.00