基于可交易电子路票的停车换乘通勤行为管理

可交易电子路票和停车换乘系统作为缓解交通拥堵的有效措施，逐渐获得学者的广泛关注。本文讨论实施可交易电子路票后，通勤者选择出行方式的变化。基于瓶颈模型进行建模，假设通勤者从生活区到工作地，可以选择全程驾车或者停车换乘到达目的地。通过对模型求解，对比用户均衡和系统最优不同情境下的模型性质。研究表明，可交易电子路票机制和停车换乘系统结合能够有效改变通勤者出行方式的选择，进而缓解交通拥堵。模型确定了实施可交易电子路票政策后，路票收取数额的有效范围。同时，在系统最优情境下，得出选择全程驾车的通勤者比例和停车换乘的最佳位置点，为交通管理部门选择停车换乘位置点时提供一定的参考。

Managing the commuting decisions using tradable credits in a park-and-ride system

Scholars pay extensive attention to tradable credit and park-and-ride system, which are effective measures to alleviate traffic congestion. The model explores the changes in commuters'' choice of travel options after the implementation of the Tradable Credit Policy. It is assumed that residents will comprehensively consider the cost of the bottleneck theory to choose a travel mode, either driving or parking-and-ride. Then solve the model and compare the user equilibrium and system optimization to get results in different scenarios. The research results show that the combination of tradable credits and park-and-ride systems can effectively alleviate traffic congestion. After the implementation of the Tradable Credits policy, the valid range of the number of tickets is obtained through the information published by the government.. In the system''s optimal scenario, the proportion of commuters who drive the entire journey is derived. The results of the study provide suitable locations for parking and riding, which can provide recommendations for government policy.