城市交通拥堵组合治理政策仿真研究
Simulation Study on the Combined Management Policies for Urban Traffic Congestion
丁涛 1姜爱明 1颜韬2
作者信息
- 1. 武汉理工大学 交通与物流工程学院,湖北 武汉 430063
- 2. 武汉市交通运输局 智能交通中心,湖北 武汉 430015
- 折叠
摘要
为探究不同交通拥堵治理政策的作用与效果,从交通发展战略、交通需求管理、交通费用调节3个方面设计了16 种政策模拟情形,通过Vensim PLE软件进行仿真模拟.结果表明,交通需求管理是治理交通拥堵最有效的方式,其次是交通发展战略和交通费用调节,该实验结果为城市交通优化提供了有益参考.未来治理城市交通拥堵时,应注重调节交通需求和供给之间的矛盾,综合运用土地规划、交通管理等手段,科学控制交通需求总量、出行方式和时空分布,以实现供需在不同阶段和层次上的相对平衡,从而确保城市交通系统的可持续发展.
Abstract
To explore the roles and effects of different traffic congestion control policies,16 policy simulation scenarios were designed from three aspects:transportation development strategy,transportation demand management,and transportation cost ad-justment,and simulated using Vensim PLE software.The results indicate that traffic demand management is the most effective way to address traffic congestion,followed by transportation development strategies and transportation cost adjustments.The ex-perimental results provide important reference value for urban traffic optimization.In the future governance of urban traffic con-gestion,attention should be paid to adjusting the contradiction between traffic demand and supply,comprehensively utilizing land use planning,traffic management and other means to scientifically control the total amount of traffic demand,travel modes,and spatiotemporal distribution,in order to achieve relative balance between supply and demand at different stages and levels,and ensure the sustainable development of the urban transportation system.
关键词
交通拥堵/系统动力学/组合政策/交通发展战略/交通需求管理/交通费用调节Key words
traffic congestion/system dynamics/combination policy/transportation development strategy/transportation de-mand management/transportation cost adjustment引用本文复制引用
基金项目
国家重点研发计划(2016YFC0402008)
出版年
2024
NETL
NSTL
万方数据