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Evolution of weighted complex bus transit networks with flow

Author

Listed:
  • Ailing Huang

    (MOE Key Laboratory for Urban Transportation, Complex Systems Theory and Technology, School of Traffic and Transportation, Beijing Jiaotong University, Beijing 100044, P. R. China)

  • Jie Xiong

    (#x2020;Beijing Key Laboratory of Traffic Engineering, Beijing University of Technology, Beijing 100124, P. R. China)

  • Jinsheng Shen

    (MOE Key Laboratory for Urban Transportation, Complex Systems Theory and Technology, School of Traffic and Transportation, Beijing Jiaotong University, Beijing 100044, P. R. China)

  • Wei Guan

    (MOE Key Laboratory for Urban Transportation, Complex Systems Theory and Technology, School of Traffic and Transportation, Beijing Jiaotong University, Beijing 100044, P. R. China)

Abstract

Study on the intrinsic properties and evolutional mechanism of urban public transit networks (PTNs) has great significance for transit planning and control, particularly considering passengers’ dynamic behaviors. This paper presents an empirical analysis for exploring the complex properties of Beijing’s weighted bus transit network (BTN) based on passenger flow in L-space, and proposes a bi-level evolution model to simulate the development of transit routes from the view of complex network. The model is an iterative process that is driven by passengers’ travel demands and dual-controlled interest mechanism, which is composed of passengers’ spatio-temporal requirements and cost constraint of transit agencies. Also, the flow’s dynamic behaviors, including the evolutions of travel demand, sectional flow attracted by a new link and flow perturbation triggered in nearby routes, are taken into consideration in the evolutional process. We present the numerical experiment to validate the model, where the main parameters are estimated by using distribution functions that are deduced from real-world data. The results obtained have proven that our model can generate a BTN with complex properties, such as the scale-free behavior or small-world phenomenon, which shows an agreement with our empirical results. Our study’s results can be exploited to optimize the real BTN’s structure and improve the network’s robustness.

Suggested Citation

  • Ailing Huang & Jie Xiong & Jinsheng Shen & Wei Guan, 2016. "Evolution of weighted complex bus transit networks with flow," International Journal of Modern Physics C (IJMPC), World Scientific Publishing Co. Pte. Ltd., vol. 27(06), pages 1-17, June.
    • Handle: RePEc:wsi:ijmpcx:v:27:y:2016:i:06:n:s0129183116500649
    DOI: 10.1142/S0129183116500649
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    Citations

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    Cited by:

    1. Wei Yu & Jun Chen & Xingchen Yan, 2019. "Space‒Time Evolution Analysis of the Nanjing Metro Network Based on a Complex Network," Sustainability, MDPI, vol. 11(2), pages 1-17, January.
    2. Zhang, Xiaolei & Ren, Yibin & Huang, Baoxiang & Han, Yong, 2018. "Analysis of time-varying characteristics of bus weighted complex network in Qingdao based on boarding passenger volume," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 506(C), pages 376-394.
    3. Xu, Xiaohan & Huang, Ailing & Shalaby, Amer & Feng, Qian & Chen, Mingyang & Qi, Geqi, 2024. "Exploring cascading failure processes of interdependent multi-modal public transit networks," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 638(C).

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