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The speed and configuration of cyclist social groups: A field study

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  • Li, Meng
  • Chen, Tao
  • Du, Hao
  • Ma, Na
  • Xi, Xinwei

Abstract

Group behaviour is common among bicycle users and can have an impact on traffic dynamics in natural or emergency situations. As our observation shows, 35% of cyclists in traffic ride in pairs or groups. This paper aims to explore how cyclist group members interact and organize in bicycle flow. A field study was conducted, 166 groups of cyclists were selected as the observation objects, and their tracks were obtained through the multi-object tracking algorithm (MOT). The average speed, spatial arrangement and similarity between group members were calculated and analysed. The results show that group size has a significant negative effect on average group speed as cyclist members of the same group tend to maintain similar speeds as they ride forward. The 2-person and 3-person riding groups have relatively “time stable” geometrical structures (4 patterns for pairs and 5 patterns for triads). They are generated not only from traffic rules but also from the local interaction between group members. The dissimilarity value of movement among them tends to increase with increasing group size due to weaker coordination in larger groups. These findings have implications for bicycle traffic modelling and safe bicycle facility design.

Suggested Citation

  • Li, Meng & Chen, Tao & Du, Hao & Ma, Na & Xi, Xinwei, 2022. "The speed and configuration of cyclist social groups: A field study," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 592(C).
  • Handle: RePEc:eee:phsmap:v:592:y:2022:i:c:s0378437121010013
    DOI: 10.1016/j.physa.2021.126849
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    References listed on IDEAS

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    1. Trenchard, Hugh & Ratamero, Erick & Richardson, Ashlin & Perc, Matjaž, 2015. "A deceleration model for bicycle peloton dynamics and group sorting," Applied Mathematics and Computation, Elsevier, vol. 251(C), pages 24-34.
    2. Trenchard, Hugh & Richardson, Ashlin & Ratamero, Erick & Perc, Matjaž, 2014. "Collective behavior and the identification of phases in bicycle pelotons," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 405(C), pages 92-103.
    3. Tang, Tie-Qiao & Rui, Ying-Xu & Zhang, Jian & Wang, Tao, 2018. "Impacts of group behavior on bicycle flow at a signalized intersection," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 512(C), pages 1205-1215.
    4. Rui Jiang & Mao-Bin Hu & Qing-Song Wu & Wei-Guo Song, 2017. "Traffic Dynamics of Bicycle Flow: Experiment and Modeling," Transportation Science, INFORMS, vol. 51(3), pages 998-1008, August.
    5. Tang, Tie-Qiao & Rui, Ying-Xu & Zhang, Jian & Shang, Hua-Yan, 2018. "A cellular automation model accounting for bicycle’s group behavior," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 492(C), pages 1782-1797.
    6. Sersli, Stephanie & Gislason, Maya & Scott, Nicholas & Winters, Meghan, 2020. "Riding alone and together: Is mobility of care at odds with mothers' bicycling?," Journal of Transport Geography, Elsevier, vol. 83(C).
    7. Trenchard, Hugh, 2015. "The peloton superorganism and protocooperative behavior," Applied Mathematics and Computation, Elsevier, vol. 270(C), pages 179-192.
    8. Xue, Shuqi & Jia, Bin & Jiang, Rui & Li, Xingang & Shan, Jingjing, 2017. "An improved Burgers cellular automaton model for bicycle flow," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 487(C), pages 164-177.
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