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Research on multilayer network structure characteristics from a higher-order model: The case of a Chinese high-speed railway system

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  • Xie, Fengjie
  • Ma, Mengdi
  • Ren, Cuiping

Abstract

In this paper, we integrate the non-Markovian higher-order model with the multilayer network analysis method for the first time to analyse the transportation system with route dependencies. An empirical study on the Chinese high-speed rail (HSR) system was conducted. The non-Markovian higher-order model is used to describe the theoretical high-speed railway network (THSRN), and weighted k-core decomposition is used to divide the THSRN into the core layer, bridge layer and periphery layer. We analyse the importance of cities and HSR routes. Ten important hub cities in the HSR system are discovered, and a finding against the common belief is revealed that the importance rank of cities is not completely consistent with their train flow. In addition, nine complete HSR lines and seven sections of the HSR lines were found to be the most important routes in the HSR system. Finally, the weaknesses of the HSR system are identified and some optimization suggestions are presented. Our work provides important insight for forming a new framework for analysing the transportation systems with route dependencies, which may assist in the future study of transportation systems.

Suggested Citation

  • Xie, Fengjie & Ma, Mengdi & Ren, Cuiping, 2022. "Research on multilayer network structure characteristics from a higher-order model: The case of a Chinese high-speed railway system," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 586(C).
    • Handle: RePEc:eee:phsmap:v:586:y:2022:i:c:s0378437121007469
    DOI: 10.1016/j.physa.2021.126473
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    1. Ingo Scholtes & Nicolas Wider & René Pfitzner & Antonios Garas & Claudio J. Tessone & Frank Schweitzer, 2014. "Causality-driven slow-down and speed-up of diffusion in non-Markovian temporal networks," Nature Communications, Nature, vol. 5(1), pages 1-9, December.
    2. Wang, Wei & Cai, Kaiquan & Du, Wenbo & Wu, Xin & Tong, Lu (Carol) & Zhu, Xi & Cao, Xianbin, 2020. "Analysis of the Chinese railway system as a complex network," Chaos, Solitons & Fractals, Elsevier, vol. 130(C).
    3. Zhang, Jianhua & Hu, Funian & Wang, Shuliang & Dai, Yang & Wang, Yixing, 2016. "Structural vulnerability and intervention of high speed railway networks," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 462(C), pages 743-751.
    4. Du, Wen-Bo & Zhou, Xing-Lian & Lordan, Oriol & Wang, Zhen & Zhao, Chen & Zhu, Yan-Bo, 2016. "Analysis of the Chinese Airline Network as multi-layer networks," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 89(C), pages 108-116.
    5. Wang, Lvhua & Liu, Yongxue & Sun, Chao & Liu, Yahui, 2016. "Accessibility impact of the present and future high-speed rail network: A case study of Jiangsu Province, China," Journal of Transport Geography, Elsevier, vol. 54(C), pages 161-172.
    6. Jiao Li & Yongsheng Qian & Junwei Zeng & Fan Yin & Leipeng Zhu & Xiaoping Guang, 2020. "Research on the Influence of a High-Speed Railway on the Spatial Structure of the Western Urban Agglomeration Based on Fractal Theory—Taking the Chengdu–Chongqing Urban Agglomeration as an Example," Sustainability, MDPI, vol. 12(18), pages 1-13, September.
    7. Zhang, Hui & Cui, Houdun & Wang, Wei & Song, Wenbo, 2020. "Properties of Chinese railway network: Multilayer structures based on timetable data," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 560(C).
    8. Bombelli, Alessandro & Santos, Bruno F. & Tavasszy, Lóránt, 2020. "Analysis of the air cargo transport network using a complex network theory perspective," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 138(C).
    9. Martin Rosvall & Alcides V. Esquivel & Andrea Lancichinetti & Jevin D. West & Renaud Lambiotte, 2014. "Memory in network flows and its effects on spreading dynamics and community detection," Nature Communications, Nature, vol. 5(1), pages 1-13, December.
    10. Dai, Liang & Derudder, Ben & Liu, Xingjian, 2018. "The evolving structure of the Southeast Asian air transport network through the lens of complex networks, 1979–2012," Journal of Transport Geography, Elsevier, vol. 68(C), pages 67-77.
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    3. Yi Liu & Senbin Yu & Chaoyang Zhang & Peiran Zhang & Yang Wang & Liang Gao, 2022. "Critical Percolation on Temporal High-Speed Railway Networks," Mathematics, MDPI, vol. 10(24), pages 1-8, December.
    4. Cuiping Ren & Bianbian Chen & Fengjie Xie & Xuan Zhao & Jiaqian Zhang & Xueyan Zhou, 2022. "Understanding Hazardous Materials Transportation Accidents Based on Higher-Order Network Theory," IJERPH, MDPI, vol. 19(20), pages 1-13, October.
    5. Bo Yang & Yaping Yang & Yangxiaoyue Liu & Xiafang Yue, 2022. "Spatial Structure Evolution and Economic Benefits of Rapidly Expanding the High-Speed Rail Network in Developing Regions: A Case Study in Western China," Sustainability, MDPI, vol. 14(23), pages 1-20, November.
    6. Tang, Zhixing & Huang, Shan & Zhu, Xinping & Pan, Weijun & Han, Songchen & Gong, Tingyu, 2023. "Research on the multilayer structure of flight delay in China air traffic network," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 609(C).

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