Zheng Chen. "Low Carbon Factors in the Optimization of Consistent Transport Routes: Case Study of China" International Research Journal of Economics and Management Studies, Vol. 3, No. 9, pp. 119-127, 2024.
This paper optimizes the carbon emissions, routes, and costs of consistent transportation from the perspectives of economic benefits for transportation companies, social benefits, and the personalized needs of customers, aiming to select the optimal solution. Considering the differences between various transportation modes and vehicles, an analysis and comparison of the operating and maintenance costs of transportation vehicles are conducted to determine the unit transportation cost and carbon emission per vehicle. Under the constraint of time windows, a route optimization model is constructed that comprehensively considers transportation costs, transhipment costs, time costs, carbon emission costs, and risk costs. Analyzing the transportation situation from Chongqing to Shanghai, the optimal transportation routes, modes, and vehicles with and without considering carbon emission costs are identified and compared with the current basic transportation route from Chongqing to Shanghai, providing a basis for the selection of transportation companies. Furthermore, in line with the trends of carbon emission reduction and timeliness, the study investigates the impact of different carbon trading values and time windows on carbon emissions, carbon costs, and total costs.
[1] Kang, F., Li, X., & Li, J. (2021). Analysis of Multi-objective Multimodal Transport Route Planning Based on Genetic Algorithm. In Application of
Intelligent Systems in Multi-modal Information Analytics: 2021 International Conference on Multi-modal Information Analytics (MMIA 2021),
Volume 1 (pp. 30-38). Springer International Publishing.
[2] Demir, E., Duman, E., & Kavurmaci, B. (2019). Green intermodal freight transportation: Bi-objective modelling and analysis. International Journal of
Production Research, 57(19), 6162-6180.
[3] Udomwannakhet, J., Vajarodaya, P., Manicho, S., Kaewfak, K., Ruiz, J. B., & Ammarapala, V. (2018, May). A review of multimodal transportation
optimization model. In 2018 5th International Conference on Business and Industrial Research (ICBIR) (pp. 333-338). IEEE.
[4] Lebedeva, O. A., & Poltavskaya, J. O. (2020). Multimodal transport network freight routing algorithms in optimization models. IOP Conference Series:
Materials Science and Engineering, 971(5), 052020.
[5] Demir, E., Duman, E., & Kavurmaci, B. (2016). A green intermodal service network design problem with travel time uncertainty. Transportation
Research Part B: Methodological, 93, 789-807.
[6] Wang, C. N., Chen, Y. C., & Hsu, C. C. (2021). Multi-objective optimization models for sustainable perishable intermodal multi-product networks with
delivery time window. Mathematics, 9(4), 379.
[7] Kengpol, A., Tuammee, S., & Tuominen, M. (2014). The development of a framework for route selection in multimodal transportation. The
International Journal of Logistics Management, 25(1), 1-24.
[8] Surury, F., Syauqi, A., & Purwanto, W. W. (2021). Multi-objective optimization of petroleum product logistics in Eastern Indonesia region. The Asian
Journal of Shipping and Logistics, 37(3), 220-230.
[9] Zhao, Y., Zhang, X., & Xue, Q. W. (2016). Container route optimization in a sea-rail intermodal network. In 2016 5th International Conference on Civil,
Architectural and Hydraulic Engineering (ICCAHE 2016) (pp. 1-5). Atlantis Press.
[10] Yang, Z., Zhang, Y., & Wang, Y. (2014). Optimization of container liner network on the Yangtze River. Maritime Policy & Management, 41(1), 79-96.
[11] Wang, X., & Jing, Y. (2020). Research on optimization of port container inland collection and distribution network. In E3S Web of Conferences (Vol.
165, p. 06024). EDP Sciences.
[12] Xu, W., & Rong, M. (2022). Research on optimization of expressway logistics path based on the advantages of multimodal transport in the environment
of Internet of Things. Wireless Personal Communications, 126(3), 1981-1997.
Consistent Transport, China, Route Optimization.