IDEAS home Printed from https://ideas.repec.org/a/eee/phsmap/v572y2021ics0378437121001394.html
   My bibliography  Save this article

An evolutionary model of the international logistics network based on the Belt and Road perspective

Author

Listed:
  • Zhang, Dezhi
  • Zhang, Fangtao
  • Liang, Yijing

Abstract

This paper presents a novel evolutionary model that captures the characteristics and the evolutionary pattern of an international logistics network in the context of the Belt and Road. In this study, the logistics network is considered as a complex self-adapting system, in which a new node is added by preferential attachment, and evolution is an iterative process of interaction among factors, such as the social economy, infrastructure construction and international relations. Grounded in the continuum theory, the model is deduced with rigorous derivation, and the results show that the proposed model can accurately reflect the degree distribution of the international logistics network, which follows a shifted power law. Simulation experiments are conducted to demonstrate the interaction process, and the simulated network presents a hierarchical pattern of “several central nodes and a large number of peripheral nodes”. China, South Korea, India, Indonesia and the Russian Federation are considered central nodes and have a significant influence on the B&R international logistics network.

Suggested Citation

  • Zhang, Dezhi & Zhang, Fangtao & Liang, Yijing, 2021. "An evolutionary model of the international logistics network based on the Belt and Road perspective," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 572(C).
  • Handle: RePEc:eee:phsmap:v:572:y:2021:i:c:s0378437121001394
    DOI: 10.1016/j.physa.2021.125867
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0378437121001394
    Download Restriction: Full text for ScienceDirect subscribers only. Journal offers the option of making the article available online on Science direct for a fee of $3,000

    File URL: https://libkey.io/10.1016/j.physa.2021.125867?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Zhang, Jianhua & Wang, Shuliang & Zhang, Zhaojun & Zou, Kuansheng & Shu, Zhan, 2016. "Characteristics on hub networks of urban rail transit networks," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 447(C), pages 502-507.
    2. Zhang, Huiqin & Liu, Yingfang & Chen, Xudong, 2019. "Research on the information dissemination mechanisms of weibo in scale-free networks," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 532(C).
    3. Wang, Wenya & Li, Zhenfu & Cheng, Xin, 2019. "Evolution of the global coal trade network: A complex network analysis," Resources Policy, Elsevier, vol. 62(C), pages 496-506.
    4. Sheu, Jiuh Biing & Kundu, Tanmoy, 2018. "Forecasting time-varying logistics distribution flows in the One Belt-One Road strategic context," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 117(C), pages 5-22.
    5. Ding, Rui & Ujang, Norsidah & Hamid, Hussain bin & Manan, Mohd Shahrudin Abd & He, Yuou & Li, Rong & Wu, Jianjun, 2018. "Detecting the urban traffic network structure dynamics through the growth and analysis of multi-layer networks," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 503(C), pages 800-817.
    6. Emel Savku & Gerhard-Wilhelm Weber, 2018. "A Stochastic Maximum Principle for a Markov Regime-Switching Jump-Diffusion Model with Delay and an Application to Finance," Journal of Optimization Theory and Applications, Springer, vol. 179(2), pages 696-721, November.
    7. Liu, Jun & Xiong, Qingyu & Shi, Weiren & Shi, Xin & Wang, Kai, 2016. "Evaluating the importance of nodes in complex networks," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 452(C), pages 209-219.
    8. Suo, Qi & Guo, Jin-Li & Sun, Shiwei & Liu, Han, 2018. "Exploring the evolutionary mechanism of complex supply chain systems using evolving hypergraphs," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 489(C), pages 141-148.
    9. Lu, Yonglei & Liu, Jing, 2019. "The impact of information dissemination strategies to epidemic spreading on complex networks," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 536(C).
    10. Zhao, Laijun & Zhao, Yue & Hu, Qingmi & Li, Huiyong & Stoeter, Johan, 2018. "Evaluation of consolidation center cargo capacity and loctions for China railway express," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 117(C), pages 58-81.
    11. Jiang, Xin & Wang, Zhiping & Liu, Wei, 2019. "Information dissemination in dynamic hypernetwork," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 532(C).
    12. Yang, Dong & Pan, Kai & Wang, Shuaian, 2018. "On service network improvement for shipping lines under the one belt one road initiative of China," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 117(C), pages 82-95.
    13. Cats, Oded, 2017. "Topological evolution of a metropolitan rail transport network: The case of Stockholm," Journal of Transport Geography, Elsevier, vol. 62(C), pages 172-183.
    14. Li, Xiang & Ying Jin, Yu & Chen, Guanrong, 2003. "Complexity and synchronization of the World trade Web," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 328(1), pages 287-296.
    15. Sui, Yi & Shao, Feng-jing & Sun, Ren-cheng & Li, Shu-jing, 2012. "Space evolution model and empirical analysis of an urban public transport network," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 391(14), pages 3708-3717.
    16. Huang, Yiping, 2016. "Understanding China's Belt & Road Initiative: Motivation, framework and assessment," China Economic Review, Elsevier, vol. 40(C), pages 314-321.
    17. Cui, Yapeng & Ni, Shunjiang & Shen, Shifei & Wang, Zhiru, 2020. "Modeling the dynamics of information dissemination under disaster," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 537(C).
    18. Wang, Hua & Gu, Tao & Jin, Maozhu & Zhao, Rong & Wang, Guanxiang, 2018. "The complexity measurement and evolution analysis of supply chain network under disruption risks," Chaos, Solitons & Fractals, Elsevier, vol. 116(C), pages 72-78.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Liu, Qing & Yang, Yang & Ke, Luqi & Ng, Adolf K.Y., 2022. "Structures of port connectivity, competition, and shipping networks in Europe," Journal of Transport Geography, Elsevier, vol. 102(C).
    2. Yao Tong & Cui Zhou & Jingying Lin & Chengkai Tan & Wenjian Tang, 2022. "Coupling Analysis of the Road-Network Spatiotemporal Distribution and the Economy in B&R Countries Based on GIS," Sustainability, MDPI, vol. 14(14), pages 1-13, July.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Wen, Xin & Ma, Hoi-Lam & Choi, Tsan-Ming & Sheu, Jiuh-Biing, 2019. "Impacts of the Belt and Road Initiative on the China-Europe trading route selections," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 122(C), pages 581-604.
    2. Sun, Jiasen & Li, Guo & Xu, Su Xiu & Dai, Wei, 2019. "Intermodal transportation service procurement with transaction costs under belt and road initiative," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 127(C), pages 31-48.
    3. Zhou, Yaoming & Kundu, Tanmoy & Goh, Mark & Sheu, Jiuh-Biing, 2021. "Multimodal transportation network centrality analysis for Belt and Road Initiative," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 149(C).
    4. Zhang, Xinfang & Liu, Chengliang & Peng, Yan & Lu, Jing, 2023. "Connectivity-based spatial patterns and factors influencing international container multimodal hubs in China under the Belt and Road initiative," Transport Policy, Elsevier, vol. 143(C), pages 10-24.
    5. Zhang, Mengyao & Huang, Tao & Guo, Zhaoxia & He, Zhenggang, 2022. "Complex-network-based traffic network analysis and dynamics: A comprehensive review," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 607(C).
    6. Kundu, Tanmoy & Sheu, Jiuh-Biing, 2019. "Analyzing the effect of government subsidy on shippers’ mode switching behavior in the Belt and Road strategic context," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 129(C), pages 175-202.
    7. Wang, Zhiru & Niu, Fangyan & Yang, Lili & Su, Guofeng, 2020. "Modeling a subway network: A hot-point attraction-driven evolution mechanism," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 537(C).
    8. Wang, Zhenjie & Zhang, Dezhi & Tavasszy, Lóránt & Fazi, Stefano, 2023. "Integrated multimodal freight service network design and pricing with a competing service integrator and heterogeneous shipper classes," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 179(C).
    9. Mu, Dong & Ren, Huanyu & Wang, Chao & Yue, Xiongping & Du, Jianbang & Ghadimi, Pezhman, 2023. "Structural characteristics and disruption ripple effect in a meso-level electric vehicle Lithium-ion battery supply chain network," Resources Policy, Elsevier, vol. 80(C).
    10. Shujuan Guo & Cuijie Diao & Gang Li & Katsuhiko Takahashi, 2021. "The Two-Echelon Dual-Channel Models for the Intermodal Container Terminals of the China Railway Express Considering Container Accumulation Modes," Sustainability, MDPI, vol. 13(5), pages 1-19, March.
    11. Yang, Zhongzhen & Sun, Yu & Lee, Paul Tae-Woo, 2020. "Impact of the development of the China-Europe Railway Express – A case on the Chongqing international logistics center," Transportation Research Part A: Policy and Practice, Elsevier, vol. 136(C), pages 244-261.
    12. Ryuichi Shibasaki & Satoshi Tanabe & Hironori Kato & Paul Tae-Woo Lee, 2019. "Could Gwadar Port in Pakistan Be a New Gateway? A Network Simulation Approach in the Context of the Belt and Road Initiative," Sustainability, MDPI, vol. 11(20), pages 1-28, October.
    13. Yang, Zhijie & Chen, Xiaolong, 2018. "Evolution assessment of Shanghai Urban Rail Transit Network," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 503(C), pages 1263-1274.
    14. Meng, Yangyang & Tian, Xiangliang & Li, Zhongwen & Zhou, Wei & Zhou, Zhijie & Zhong, Maohua, 2020. "Comparison analysis on complex topological network models of urban rail transit: A case study of Shenzhen Metro in China," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 559(C).
    15. Liu, Jiawei & Ding, Jie, 2020. "Requesting for retweeting or donating? A research on how the fundraiser seeks help in the social charitable crowdfunding," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 557(C).
    16. Fu, Yaping & Wu, Di & Wang, Yan & Wang, Hongfeng, 2020. "Facility location and capacity planning considering policy preference and uncertain demand under the One Belt One Road initiative," Transportation Research Part A: Policy and Practice, Elsevier, vol. 138(C), pages 172-186.
    17. Wei, Hairui & Lee, Paul Tae-Woo, 2021. "Designing a coordinated horizontal alliance system for China’s inland ports with China railway express platforms along the Silk Road Economic Belt," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 147(C).
    18. Fenling Feng & Tianzuo Zhang & Chengguang Liu & Lifeng Fan, 2020. "China Railway Express Subsidy Model Based on Game Theory under “the Belt and Road” Initiative," Sustainability, MDPI, vol. 12(5), pages 1-16, March.
    19. Zhang, Jianhua & Wang, Meng, 2019. "Transportation functionality vulnerability of urban rail transit networks based on movingblock: The case of Nanjing metro," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 535(C).
    20. Kyoung-Suk Choi, 2021. "The Current Status and Challenges of China Railway Express (CRE) as a Key Sustainability Policy Component of the Belt and Road Initiative," Sustainability, MDPI, vol. 13(9), pages 1-18, April.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:phsmap:v:572:y:2021:i:c:s0378437121001394. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.journals.elsevier.com/physica-a-statistical-mechpplications/ .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.