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Weighted Complex Network Analysis of the Different Patterns of Metro Traffic Flows on Weekday and Weekend

Author

Listed:
  • Jia Feng
  • Xiamiao Li
  • Baohua Mao
  • Qi Xu
  • Yun Bai

Abstract

We present a multilayer model to characterize the weekday and weekend patterns in terms of the spatiotemporal flow size distributions in subway networks, based on trip data and operation timetables obtained from the Beijing Subway System. We also investigate the disparity of incoming and outgoing flows at a given station to describe the different spatial structure performance between transfer and nontransfer stations. In addition, we describe the essential interactions between PFN and TFN by defining an indicator, real load. By comparing with the two patterns on weekday and weekend, we found that the substantial trends have roughly the same form, with noticeable lower sizes of flows on weekend ascribed to the essential characteristics of travel demand.

Suggested Citation

  • Jia Feng & Xiamiao Li & Baohua Mao & Qi Xu & Yun Bai, 2016. "Weighted Complex Network Analysis of the Different Patterns of Metro Traffic Flows on Weekday and Weekend," Discrete Dynamics in Nature and Society, John Wiley & Sons, vol. 2016(1).
    • Handle: RePEc:wly:jnddns:v:2016:y:2016:i:1:n:9865230
    DOI: 10.1155/2016/9865230
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    References listed on IDEAS

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    1. Jingyi Lin & Yifang Ban, 2013. "Complex Network Topology of Transportation Systems," Transport Reviews, Taylor & Francis Journals, vol. 33(6), pages 658-685, November.
    2. Camille Roth & Soong Moon Kang & Michael Batty & Marc Barthélemy, 2011. "Structure of Urban Movements: Polycentric Activity and Entangled Hierarchical Flows," PLOS ONE, Public Library of Science, vol. 6(1), pages 1-8, January.
    3. Chengbin Peng & Xiaogang Jin & Ka-Chun Wong & Meixia Shi & Pietro Liò, 2012. "Collective Human Mobility Pattern from Taxi Trips in Urban Area," PLOS ONE, Public Library of Science, vol. 7(4), pages 1-8, April.
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    1. Ma, Xinwei & Kou, Sijin & Ji, Yanjie & Zhu, Minqing & Cui, Hongjun, 2025. "Unveiling gender disparities in metro usage using gender-inclusive smart card data: Evidence from Nanjing, China," Journal of Transport Geography, Elsevier, vol. 128(C).

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