Gege Jiang, Qingwen Fan, Yingtian Zhang, Yao Xiao, Jiemin Xie, Shaorui Zhou
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引用次数: 0
Abstract
This paper proposes a tradable carbon credit scheme under a public-private partnership (PTCS) to reduce congestion and carbon emissions in the network, considering two travel modes with the public transit and the private cars. The PTCS involves three key entities: the traveler, the enterprise, and the government. A three-layer non-linear model is developed to formulate this problem. At the upper level, the government determines the credit scheme and the optimal subsidy to the enterprise, aiming to reduce carbon emissions, travel time, and the monetary cost. In the middle level, the costs and benefits of the enterprise are taken into account. While travelers redeem the carbon credits from the enterprise by opting for public transport, the enterprise can also gain financial benefits from green-mode travelers, including the flow benefits and the unit subsidy from the government. At the lower level, travelers choose their routes and travel modes under the given credit scheme, following the rule of the user equilibrium. We analyzed how the PTCS affects emissions and travel time and validated our findings with two numerical studies using a single OD toy network and the Sioux Falls network. Additionally, with government subsidies, the profitability of the enterprise can be increased to a great extent, achieving a triple-win situation for the enterprise, government, and travelers. This research shed light on promoting low-carbon travel, reducing emissions, and increasing the utilization rate of public transportation.
期刊介绍:
Transportation Research Part E: Logistics and Transportation Review is a reputable journal that publishes high-quality articles covering a wide range of topics in the field of logistics and transportation research. The journal welcomes submissions on various subjects, including transport economics, transport infrastructure and investment appraisal, evaluation of public policies related to transportation, empirical and analytical studies of logistics management practices and performance, logistics and operations models, and logistics and supply chain management.
Part E aims to provide informative and well-researched articles that contribute to the understanding and advancement of the field. The content of the journal is complementary to other prestigious journals in transportation research, such as Transportation Research Part A: Policy and Practice, Part B: Methodological, Part C: Emerging Technologies, Part D: Transport and Environment, and Part F: Traffic Psychology and Behaviour. Together, these journals form a comprehensive and cohesive reference for current research in transportation science.