在低碳导向下的城市客运结构的多目标优化模型,考虑参与主体
Xinguang Li1, Jun Zhan2, Fuquan Pan2
1School of Mechanical and Automotive Engineering, Qingdao University of Technology, Shandong, 266000, China. xinguangli@qut.edu.cn.
Environmental science and pollution research international
|October 28, 2023
概括
优化城市客运结构可以减少碳排放. 考虑乘客,运营商和建筑的新模式将公共交通使用率提高到23.70%.
科学领域:
- 城市规划是城市规划.
- 运输工程 运输工程 运输工程
- 环境科学环境科学
背景情况:
- 城市乘客运输对能源消耗和碳排放产生重大影响.
- 交通基础设施的建设也会对环境产生影响.
- 需要采用整体方法来优化交通结构的可持续性.
研究的目的:
- 提出城市客运结构的多目标优化模型.
- 为了将优化转向低碳成果.
- 考虑乘客,运营商和建筑影响的观点.
主要方法:
- 开发一个多目标优化模型.
- 应用NSGA-II算法以找到最佳解决方案.
- 使用青岛的案例研究进行验证.
主要成果:
- 与实际价值相比,拟议的模型 (PS,POS,POCS) 的公共交通乘客占比分别增加了12.74%,20.74%和23.70%.
- 供需双方都显示,公共交通乘客数量增加.
- POS模型适用于没有建筑排放的短期优化,而POCS则适用于长期综合优化.
结论:
- 该研究为优化城市客运结构提供了一个框架.
- 不同的模型为短期和长期的可持续发展目标提供量身定制的解决方案.
- 整合乘客,运营商和建筑因素导致公共交通份额的显著改善.
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