Gansu, Qinghai and Ningxia regions of the new western land and sea corridor freight network optimization

• Autorzy: Yang Xiangfei , Yaling Ma
• Języki publikacji: EN

Abstrakty

EN

The new western land and sea corridor makes use of a variety of transport modes to reach major ASEAN countries such as Singapore to the south, connects Southeast Asia and North America to the east, and connects Chongqing, Lanzhou and Xinjiang to the north with the China-European Union (CEU) liner train, which is a composite opening-up corridor in the western region for realising the regional linkage and international co-operation with ASEAN and other countries, and organically connecting with the "One Belt, One Road". In order to explore the regional freight network of Gan-Qing-Ning region of the new western land and sea corridor, we establish the model of node socio-economic attractiveness, topological charisma and comprehensive utility maximization, and analyze the index factors by using entropy weighting, Delphi and comprehensive evaluation methods through the Matlab Genetic Algorithm Toolbox to study the influence of node socio-economic attractiveness, topological charisma, node freight volume, logistics and transportation costs and construction costs on the utility of nodes of the new western land and sea corridor. The influence of the regional node utility of Gansu, Qinghai and Ningxia in the corridor. Analyze the problems and factors affecting the selection of nodes in the existing freight transport corridors in the three provinces. Completing the site selection of Gan-Qing-Ning regional node of the new western land and sea corridor and combining the import and export cargo volume of the three provinces to propose the construction of the South-Middle East three-lane freight corridor, and completing the optimization plan of the freight network. The results show that: scientific optimization and improvement of Gan-Qing-Ning regional freight network can promote the construction of freight network in the northwest region of the new western land and sea corridor, to meet the demand for freight transportation in the corridor, and to promote the development of the corridor industry and economic growth. Thus, it provides reference for the development of Gansu, Qinghai and Ningxia region and freight network optimization.

Słowa kluczowe

EN

Gansu Regions; land and sea transport corridor; freight network optimization

PL

region Gansu; transport lądowo-morski; korytarz transportowy; optymalizacja transportu

• Wydawca: Warsaw University of Technology, Faculty of Transport
• Czasopismo: Archives of Transport
• Rocznik: 2024
• Tom: Vol. 71, iss. 3
• Strony: 51--66
• Opis fizyczny: Bibliogr. 33 poz., il., tab., bibliogr.

Twórcy

autor

Yang Xiangfei

• Lanzhou Jiaotong University, School of Traffic and Transportation, Lanzhou, China

• https://orcid.org/0009-0002-5081-3432

autor

Yaling Ma

• Lanzhou Jiaotong University, School of Traffic and Transportation, Lanzhou, China

• https://orcid.org/0009-0003-4259-074X

Bibliografia

• 1. Notice of the National Development and Reform Commission on the Issuance of the Master Plan for New Western Land and Sea Corridors [EB/OL]. (2019). http://www.gov.cn/xinwen/2019-08/15/content_5421375.htm
• 2. Ma, W., Wang, X., (2021). Opportunities and Challenges of China's Cross-border E-commerce in the Middle East under the "Belt and Road" Initiative. Contemporary Economy, 000(003): 58-61. http://doi.org/10.3969/j.issn.1007-9378.2021.03.016.
• 3. Li, Shumei., (2020). Research on the synergistic mechanism of cross-border emergency logistics in the new western land and sea corridor. Logistics Science and Technology, 43(05): 63-64+72. http://doi.org/10.13714/j.cnki.1002-3100.2020.05.017.
• 4. Fu, Y., (2019). Research on high-level construction of new land and sea corridors in western China. Regional Economic Review, (04): 70-77. http://doi.org/10.14017/j.cnki.2095-5766.20190717.003.
• 5. Wang, J., (2019). Challenges and Strategies for the Construction of Logistics System of "New Western Land and Sea Corridor". Foreign Economic and Trade Practice, (05): 83-85. http://doi.org/10.3969/j.issn.1007-9378.
• 6. OH Yoon Ah, (2018). "China's Economic Ties with Southeast Asia". Journal of Current Southeast Asian Affairs. https://doi.org/10.2139/ssrn.3038741
• 7. SV Siar, (2014). Prospects and challenges of brain gain from ASEAN integration. IDS Discussion Paper Series. https://doi.org/10.1355/9789814762175-008
• 8. KYAW LYNN., (2009). Major Industries and Business Chance in CLMV Countries. Brc Research Report. https://doi.org/10.1057/9780230389427.0016
• 9. Vatthanamixay., (2011). Foreign Direct Investment, Real Exchange Rate Misalignment, and Export Performance of Lao PDR. Journal of International Development and Cooperational. 31-51.
• 10. Zhang J., Zhang Q. N., (2023). Research on the identification of importance degree and network construction of regional urban freight nodes. Road and Motor Transport, (03), https://doi.org/12-18+2310.20035/j.issn.1671-2668.2023.03.004
• 11. Jie L, Xumei C, Zengli F., (2020). Construction and application of regional urban hub-and-spoke freight transport network model. Journal of Harbin Institute of Technology, 52(09): 1-7.
• 12. Pan H., (2012). Layout planning research on railway logistics nodes in hierarchical classification. Beijing: Beijing Jiaotong University.
• 13. Yu S, Yang Z, Yu B., (2017). Air express network design based on express path choices - Chinese case study. Journal of Air Transport Management, 61: 73-80. https://doi.org/10.1016/j.jairtraman.2016.04.008
• 14. Shimizu Y, Fushimi H, Wada T., (2011). Robust logistics network modeling and design against uncertainties. Journal of Advanced Mechanical Design, Systems, and Manufacturing, 5(2): 103-114. https://doi.org/10.1299/jamdsm.5.103
• 15. Guelat J, Florian M, Crainic T G., (1990). A multimode multiproduct network assignment model for strategic planning of freight flows. Transportation science, 24(1): 25-39. https://doi.org/10.1287/trsc.24.1.25
• 16. Friesz T L, Gottfried J A, Morlok E K., (1986). A sequential shipper-carrier network model for predicting freight flows. Transportation Science, 20(2): 80-91. https://doi.org/10.1287/trsc.20.2.80.
• 17. Davendralingam N., Crossley W., (2014). Robust approach for concurrent aircraft design and airline net-work design. Journal of Aircraft, 51(6): 1773-1783. https://doi.org/10.2514/1.c032442.
• 18. Powell W B., (1986). A local improvement heuristic for the design of less-than-truckload motor carrier networks. Transportation Science, 20(4): 246-257. https://doi.org/10.1287/trsc.20.4.246.
• 19. Liu S, Chan F T S, Chung S H., (2011). A study of distribution center location based on the rough sets and interactive multi-objective fuzzy decision theory. Robotics and Computer-Integrated Manufacturing, 27(2): 426-433. https://doi.org/10.1016/j.rcim.2010.09.003.
• 20. Pawel D, Monika W, Radovan M, et al. (2017). Optimization of the post logistics network and location of the local distribution center in selected area of the Lublin Province. Procedia Engineering, 192: 130-135. https://doi.org/10.1016/j.proeng.2017.06.023.
• 21. Kuo M S, (2011). Optimal location selection for an international distribution center by using a new hybrid method. Expert Systems with Applications, 38(6): 7208-7221. https://doi.org/10.1016/j.eswa.2010.12.002
• 22. Holzapfel A, Kuhn H, Sternbeck M G, (2016). Product allocation to different types of distribution center in retail logistics networks. European Journal of Operational Research, 264(3): 948-966. https://doi.org/10.1016/j.ejor.2016.09.013
• 23. Tong, H., (2022). Research on the site selection and path layout of the logistics distribution center of marine ships based on a mathematical model. Archives of Transport, 63(3), 23-34. https://doi.org/10.5604/01.3001.0015.9925
• 24. Yang, Ju., Duan, A., (2018). Research on the attractiveness of urban logistics nodes in Wuhan based on the evolution analysis of freight network topology. Mall Modernization, (20): 73-74. https://doi.org/10.14013/j.cnki.scxdh.2018.20.040
• 25. He, S., Guo, Y., Zhu, W., Shao Meichen, Guo Shuai, (2023). Optimization study of bi-objective emergency logistics network considering equilibrium slack inventory under epidemic situation. Railway Transportation and Economy, 45(01): 22-29. https://doi.org/10.16668/j.cnki.issn.1003-1421.2023.01.03
• 26. Ji Y, Yang H, Zhang Y, (2013). Location optimization model of regional express distribution center. Procedia-Social and Behavioral Sciences, 96:1008-1013. https://doi.org/10.1016/j.sbspro.2013.08.115.
• 27. Paweł D, (2017). Optimization of the post logistics network and location of the local distribution center in selected area of the Lublin province. Procedia Engineering, 192:130-135. https://doi.org/10.1016/j.proeng.2017.06.023
• 28. He Y, Wang X, Lin Y, (2017). Sustainable decision making for joint distribution center location choice. Transportation Research Part D Transport & Environment, 55:202-216. https://doi.org/10.1016/j.trd.2017.07.001
• 29. Zhu Y, Fan H, (2016). Vital nodes evolution study on railway network of silk road economic belt. Journal of Data Analysis and Information Processing, 4:115-123. https://doi.org/10.4236/jdaip.2016.43010
• 30. Zong, F., Li, Y., Zhang, H., et al. (2022). A model of distribution center location along the "Belt and Road". Journal of Jilin University: Engineering Edition, 52(11): 8. https://doi.org/10.13229/j.cnki.jdxbgxb20210343
• 31. Pawlowski S D, (2005). The Delphi method as a research tool: an example, design considerations and applications. Information & Management, 42(1):15-29. https://doi.org/10.1016/j.im.2003.11.002
• 32. Huang, C., Tian, S., Zheng, S., (2022). Spatial measurement and evaluation of land transportation accessibility based on GIS. Journal of Chongqing Jiaotong University, 22(04): 23-28. https://doi.org/10.3969/j.issn.1674-0297.2022.04.004
• 33. Peng, Y., Mo, Z., Liu, S.,(2021). Passenger’s routes planning in stochastic common-lines’ multi-modal transportation network through integrating Genetic Algorithm and Monte Carlo simulation. Archives of Transport, 59(3), 73-92. https://doi.org/10.5604/01.3001.0015.0123

Uwagi

* Bibliogr. poz. 20 powtórzona w p. 27.

* Opracowanie rekordu ze środków MNiSW, umowa nr POPUL/SP/0154/2024/02 w ramach programu "Społeczna odpowiedzialność nauki II" - moduł: Popularyzacja nauki (2025)