Intelligent location selection for source assembly points of RAIL-SEA EXPRESS RS

Ruohao Jia

doi:10.1117/12.2652317

21 November 2022 Intelligent location selection for source assembly points of RAIL-SEA EXPRESS RS

Ruohao Jia

Proceedings Volume 12340, International Conference on Frontiers of Traffic and Transportation Engineering (FTTE 2022); 123401W (2022) https://doi.org/10.1117/12.2652317
Event: International Conference on Frontiers of Traffic and Transportation Engineering (FTTE 2022), 2022, Lanzhou, China

Abstract

In recent years, China State Railway Group Co., Ltd. has issued policies to vigorously encourage the development of RAIL-SEA EXPRESS RS to enhance the supply capacity of freight products and achieve seamless connection between different transportation methods. The product service network is the basic prerequisites and conditions for the efficient operation of logistics activities. In order to accommodate growing demand for rail-sea multimodal transportation and provide customers with better logistics services. China State Railway Group Co., Ltd. need to scientifically plan the RAIL-SEA EXPRESS RS network. This paper uses the research method of intelligent logistics to design assembly points of RAIL-SEA EXPRESS RS. First of all, this paper sorts out the operation of RAIL-SEA EXPRESS RS and build a railway topology network. After that, this paper designs three evaluation indicators. These indicators are network connectivity level, economic development level, RAIL-SEA EXPRESS RS development level. Finally, this paper uses TOPSIS method to calculate the comprehensive score of each candidate city and analyzes their respective radiation range. After using research method of intelligent logistics, this paper selects out 12 first-level source assembly points and 16 second-level source assembly points.

Citation Download Citation

Ruohao Jia "Intelligent location selection for source assembly points of RAIL-SEA EXPRESS RS", Proc. SPIE 12340, International Conference on Frontiers of Traffic and Transportation Engineering (FTTE 2022), 123401W (21 November 2022); https://doi.org/10.1117/12.2652317

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