Analyzing and Optimizing the Cargo Gathering Network Structure of the Chengyu China-Europe Railway Express
DOI:
https://doi.org/10.61453/INTIj.202542Keywords:
China-Europe Railway Express, Low-carbon transport, Cargo network, Complex network theoryAbstract
As a crucial component of the Belt and Road Initiative, the China-Europe Railway Express (Chengyu Express) plays a vital role in enhancing Eurasian trade connectivity. This study employs complex network theory, entropy weighting method, and social network analysis to model and analyze the regional freight network structure within the Cheng-Yu economic circle. Using data from 12 cities including Chengdu, Chongqing, and surrounding regions, the research evaluates logistics industry development levels and identifies spatial connection patterns through gravity modeling. Findings reveal that core cities (Chengdu and Chongqing) dominate the network with strong logistics connections, while secondary cities exhibit varying development levels. The study identifies five key cargo consolidation nodes—Chengdu, Chongqing, Suining, Deyang. The research contributes to transportation network optimization theory and provides practical solutions for enhancing the operational efficiency of China-Europe freight services, supporting regional economic integration and logistics competitiveness.
References
Aliakbari, A., Rashidi Komijan, A., Tavakkoli-Moghaddam, R., & Najafi, E. (2022). A new robust optimization model for relief logistics planning under uncertainty: a real-case study. Soft Computing-A Fusion of Foundations, Methodologies & Applications, 26(8). https://doi.org/10.1007/s00500-022-06823-4
Camur, M. C., Bollapragada, S., Thanos, A. E., Dulgeroglu, O., & Gemici-Ozkan, B. (2024). An optimization framework for efficient and sustainable logistics operations via transportation mode optimization and shipment consolidation: A case study for GE gas power. Expert Systems with Applications, 253, 124304. https://doi.org/10.1016/j.eswa.2024.124304
Camur, M. C., Ravi, S. K., & Saleh, S. (2024). Enhancing supply chain resilience: A machine learning approach for predicting product availability dates under disruption. Expert Systems with Applications, 247, 123226. https://doi.org/10.1016/j.eswa.2024.123226
Guo, J. H., Wan, J. Y., Yuan, W. Y., & Liu, J. J. (2024). Collaborative Optimisation of High-Speed Rail Express Line Planning and Freight Flow Allocation Considering Multiple Transportation Modes and Products. Promet-Traffic&Transportation, 36(3), 415-432. https://doi.org/10.7307/ptt.v36i3.531
Li, L. (2025). Decarbonizing China’s express freight market using high-speed rail services and carbon taxes: A bi-level optimization approach. Symmetry, 17(8), 1364. https://doi.org/10.3390/sym17081364
Liu, C. (2020, October). Optimization of railway express freight trains operation plan under the competition of highway and railway. In IOP Conference Series: Earth and Environmental Science (Vol. 587, No. 1, Article 012095). IOP Publishing. https://doi.org/10.1088/1755-1315/587/1/012095
Liu, J., & Meng, H. (2024). Can China Railway Express enhance the economic-trade vitality of cities? A spatial empirical evidence from China. Transport Policy, 150, 121–138. https://doi.org/10.1016/j.tranpol.2024.03.010
Liu, J., Zhang, Z., & Chen, T. (2024). The impact of China Railway Express on foreign direct investment inflows in Chinese central and western cities. Heliyon, 10(9), e24283. https://doi.org/10.1016/j.heliyon.2024.e30120
Mu, N., & Zhang, J. (2022). Structural heterogeneity and synergy effect of regional logistics network from a multiscale perspective: Evidence from the Chengdu-Chongqing economic circle. Journal of Advanced Transportation, *2022*, Article 4334673.
Wang, D. F., Dong, Q. L., Peng, Z. M., Khan, S. A. R., & Tarasov, A. (2018). The green logistics impact on international trade: Evidence from developed and developing countries. Sustainability, 10(7), 2235. https://doi.org/10.3390/su10072235
Wolfe, A. W. (1997). Social network analysis: Methods and applications. American Ethnologist, 24(1), 219-220. https://doi.org/10.1525/ae.1997.24.1.219
Zhang, D., Zhou, F. R., Ao, W. K., Guo, Z. H., & Chen, Z. W. (2024). Optimization of cargo distribution for high-speed freight trains to overcome strong wind conditions. Engineering Applications of Computational Fluid Mechanics, 18(1). https://doi.org/10.1080/19942060.2024.2434008
Zheng, C., Shen, Y., Ma, J., Gui, L., & Zhang, C. (2023). Robust optimization of transport organization for China Railway Express. Applied Sciences, 14(1), 137. https://doi.org/10.3390/app14010137
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