评估需求管理技术在减少城市乘客运输产生的CO2的有效性
Xin Li1, Yongsheng Qian2, Jianxin Wang1
1School of Traffic and Transportation, Lanzhou Jiaotong University, No. 88, Anning West RoadGansu Province, LanzhouAnning, 730070, China.
Carbon balance and management
|November 10, 2025
概括
预计到2030年,城市客运的排放量将增加,燃料汽车的限制影响最大. 整合多种策略,如需求,管理和技术 (DMT),是实现碳峰值目标的关键.
科学领域:
- 环境科学 环境科学
- 运输工程 运输工程
- 城市规划 城市规划
背景情况:
- 城市客运对公路运输碳排放做出了重大贡献 (超过40%).
- 缓解这些排放对于实现国家碳峰值目标至关重要.
- 中国的主要运输枢纽兰州面临着减少运输碳足迹的挑战.
研究的目的:
- 开发一个动态模型来模拟城市客运的碳排放.
- 分析需求,管理和技术 (DMT) 干预措施对排放的影响.
- 评估在兰州交通部门实现碳峰值目标的战略.
主要方法:
- 基于城市客运碳排放系统 (PCES) 框架的动态模型的开发.
- 在三个干预类别下的碳排放模拟:需求,管理和技术 (DMT).
- 分析不同情景下影响排放的时间趋势和机制.
主要成果:
- 预计到2030年,兰州的客运碳排放量将增加,2028年之后增长将放缓.
- 燃料汽车的限制和管理政策显示了最高的节能和减排效率.
- 与单个措施相比,联合的DMT干预措施在PCES框架内显示出优越的碳减排效果.
结论:
- 持续的技术创新和政策指导对于低碳城市交通至关重要.
- 整合多种战略可以加速实现"碳峰值"目标的进展.
- PCES框架是指导城市客运低碳发展的宝贵工具.
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