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Dynamics analysis for the hour-scale based time-varying characteristic of topology complexity in a weighted urban rail transit network

Author

Listed:
  • Zhang, Lin
  • Lu, Jian
  • Fu, Bai-bai
  • Li, Shu-bin

Abstract

In the methodology of urban rail transit network (URTN), the study on the hour-scale based time-varying characteristic of topology complexity (HTCTC) dynamics is a missing part. This paper proves the existence of HTCTC and analyzes its dynamics through establishing the testing framework in Nanjing’s weighted URTN. Furthermore, a novel network structure entropy based on station strength that characterizes the uniformity of energy distribution is proposed for capturing and understanding the HTCTC dynamics. Its availability is proved by conducting Pearson correlation analysis between it and a series of traditional weighted topology complexity indicators. This programmed analytical framework can contribute to improving the processible time and space scales of complex system, and can be widely applied to other cities.

Suggested Citation

  • Zhang, Lin & Lu, Jian & Fu, Bai-bai & Li, Shu-bin, 2019. "Dynamics analysis for the hour-scale based time-varying characteristic of topology complexity in a weighted urban rail transit network," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 527(C).
    • Handle: RePEc:eee:phsmap:v:527:y:2019:i:c:s0378437119307460
    DOI: 10.1016/j.physa.2019.121280
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    Citations

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    Cited by:

    1. Jungyeol Hong & Reuben Tamakloe & Soobeom Lee & Dongjoo Park, 2019. "Exploring the Topological Characteristics of Complex Public Transportation Networks: Focus on Variations in Both Single and Integrated Systems in the Seoul Metropolitan Area," Sustainability, MDPI, vol. 11(19), pages 1-26, September.
    2. Yangyang Meng & Qingjie Qi & Jianzhong Liu & Wei Zhou, 2022. "Dynamic Evolution Analysis of Complex Topology and Node Importance in Shenzhen Metro Network from 2004 to 2021," Sustainability, MDPI, vol. 14(12), pages 1-19, June.
    3. Liang Nie & ZhongXiang Zhang, 2021. "Is high-speed rail green? Evidence from a quasi-natural experiment in China," Working Papers 2021.23, Fondazione Eni Enrico Mattei.
    4. Nie, Liang & Zhang, ZhongXiang, 2023. "Is high-speed rail heading towards a low-carbon industry? Evidence from a quasi-natural experiment in China," Resource and Energy Economics, Elsevier, vol. 72(C).
    5. Teqi Dai & Tiantian Ding & Qingfang Liu & Bingxin Liu, 2022. "Node Centrality Comparison between Bus Line and Passenger Flow Networks in Beijing," Sustainability, MDPI, vol. 14(22), pages 1-14, November.

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