Notice
Abstract: Optimizing a transportation network is an effective way to reduce carbon emissions. To examine the collaborative effects of a rail freight subsidy and carbon trading mechanism in a low-carbon transportation network, a 0-1 planning mathematical model that considers transportation cost, carbon trading cost and transportation time is established in this paper. The Pareto optimal frontier solution set is found for the problem, and the optimal solution is determined using the evaluation function of the ideal point method. A case study of the Yangtze River Economic Belt region in China is conducted to demonstrate the application and practicality of the model. Sensitivity analysis is carried out on rail freight subsidy, carbon quota and carbon trading price. The numerical results highlight that the rail freight subsidy significantly contributed to the design of the low-carbon transportation network, while the low carbon trading price showed a limited effect, which also leads to a weak effect of carbon quota on low-carbon transportation network design. These findings provide decision-making support for optimizing the low-carbon transportation network design and improving the carbon trading mechanism.
Speaker: Ying-En (Ethan) Ge
Over the years he also served as the Executive Chair of the 6th International Symposium on Travel Demand Management (TDM2013), the Chair of the Organizing Committee of the 6th Transportation Research Forum (Shanghai, 2015), and the 16th COTA International Conference of Transportation Professionals (CICTP2016). His publications appear in Transportation Science, Transportation Research Parts A-E, Maritime Policy & Management, Networks and Spatial Economics, Transportmetrica, as so on.