IDEAS home Printed from https://ideas.repec.org/a/eee/transa/v178y2023ics0965856423002859.html
   My bibliography  Save this article

Experimental study on the zebra crossing traffic flow characteristics of mixed bicycles and pedestrians

Author

Listed:
  • Wang, Qiao
  • Chen, Juan
  • Jiang, Rui
  • Song, Weiguo
  • Li, Ruoyu
  • Lian, Liping
  • Ma, Jian

Abstract

Slow transportation mode, consisting of walking and cycling, plays an important role in the urban traffic system. To analyze the influence of additional bicycles on the traffic efficiency of the bicycle-pedestrian mixed group on the zebra crossing, we conducted controlled experiments to study their traffic flow characteristics based on the micro-characteristics of individuals and the macro-effect of bicycle proportion in the mixed group in which bicycles and pedestrians often share the common road facility in some countries. This work constructs a 10 m-long, 3 m-wide passageway to mimic the zebra crossing area. We first extract the head trajectories of cyclists and pedestrians to quantitatively analyze the speed, density, and spatial relationship among them through the videos that record the complete process of the bicycle-pedestrian mixed experiments. Our quantitative results show that increasing the bicycle proportion leads to longer travel and passing time because of the large personal space requirements for cyclists. By analyzing the spatial relationship and recording the forward and lateral distance between the two nearest individuals, an improved theoretical formula is proposed to describe the passing time for unidirectional bicycle-pedestrian mixed flow on zebra crossing and provide traffic efficiency. The analysis indicates that a smaller personal space for cyclists can shorten the passing time effectively. These findings are the first step toward developing bicycle-pedestrian mixed flow on the zebra crossing, which contributes to providing practical implications for planning and designing bicycle and pedestrian shared infrastructures.

Suggested Citation

  • Wang, Qiao & Chen, Juan & Jiang, Rui & Song, Weiguo & Li, Ruoyu & Lian, Liping & Ma, Jian, 2023. "Experimental study on the zebra crossing traffic flow characteristics of mixed bicycles and pedestrians," Transportation Research Part A: Policy and Practice, Elsevier, vol. 178(C).
    • Handle: RePEc:eee:transa:v:178:y:2023:i:c:s0965856423002859
    DOI: 10.1016/j.tra.2023.103865
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0965856423002859
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.tra.2023.103865?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Irena Ištoka Otković & Aleksandra Deluka-Tibljaš & Sanja Šurdonja & Tiziana Campisi, 2021. "Development of Models for Children—Pedestrian Crossing Speed at Signalized Crosswalks," Sustainability, MDPI, vol. 13(2), pages 1-18, January.
    2. Guo, Ning & Jiang, Rui & Wong, S.C. & Hao, Qing-Yi & Xue, Shu-Qi & Xiao, Yao & Wu, Chao-Yun, 2020. "Modeling the interactions of pedestrians and cyclists in mixed flow conditions in uni- and bidirectional flows on a shared pedestrian-cycle road," Transportation Research Part B: Methodological, Elsevier, vol. 139(C), pages 259-284.
    3. Maas, Suzanne & Attard, Maria & Caruana, Mark Anthony, 2020. "Assessing spatial and social dimensions of shared bicycle use in a Southern European island context: The case of Las Palmas de Gran Canaria," Transportation Research Part A: Policy and Practice, Elsevier, vol. 140(C), pages 81-97.
    4. Márquez, Luis & Soto, Jose J., 2021. "Integrating perceptions of safety and bicycle theft risk in the analysis of cycling infrastructure preferences," Transportation Research Part A: Policy and Practice, Elsevier, vol. 150(C), pages 285-301.
    5. Steffen, B. & Seyfried, A., 2010. "Methods for measuring pedestrian density, flow, speed and direction with minimal scatter," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 389(9), pages 1902-1910.
    6. Lili Lu, A. & Gang Ren, B. & Wei Wang, C. & Ching-Yao Chan, D., 2015. "Application of SFCA pedestrian simulation model to the signalized crosswalk width design," Transportation Research Part A: Policy and Practice, Elsevier, vol. 80(C), pages 76-89.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Fu, Libi & Zhang, Ying & Qin, Huigui & Shi, Qingxin & Chen, Qiyi & Chen, Yunqian & Shi, Yongqian, 2023. "A modified social force model for studying nonlinear dynamics of pedestrian-e-bike mixed flow at a signalized crosswalk," Chaos, Solitons & Fractals, Elsevier, vol. 174(C).
    2. Nagahama, Akihito & Wada, Takahiro & Yanagisawa, Daichi & Nishinari, Katsuhiro, 2021. "Detection of leader–follower combinations frequently observed in mixed traffic with weak lane-discipline," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 570(C).
    3. Saberi, Meead & Aghabayk, Kayvan & Sobhani, Amir, 2015. "Spatial fluctuations of pedestrian velocities in bidirectional streams: Exploring the effects of self-organization," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 434(C), pages 120-128.
    4. Wang, Jiayue & Boltes, Maik & Seyfried, Armin & Zhang, Jun & Ziemer, Verena & Weng, Wenguo, 2018. "Linking pedestrian flow characteristics with stepping locomotion," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 500(C), pages 106-120.
    5. Malik Sarmad Riaz & Ariane Cuenen & Evelien Polders & Muhammad Bilal Akram & Moustafa Houda & Davy Janssens & Marc Azab, 2022. "Child Pedestrian Safety: Study of Street-Crossing Behaviour of Primary School Children with Adult Supervision," Sustainability, MDPI, vol. 14(3), pages 1-15, January.
    6. Qingyan Ning & Maosheng Li, 2022. "Modeling Pedestrian Detour Behavior By-Passing Conflict Areas," Sustainability, MDPI, vol. 14(24), pages 1-17, December.
    7. Lili Yang & Simeng Fei & Hongfei Jia & Jingdong Qi & Luyao Wang & Xinning Hu, 2023. "Study on the Relationship between the Spatial Distribution of Shared Bicycle Travel Demand and Urban Built Environment," Sustainability, MDPI, vol. 15(18), pages 1-16, September.
    8. Marie-Soleil Cloutier & Mojgan Rafiei & Lambert Desrosiers-Gaudette & Zeinab AliYas, 2022. "An Examination of Child Pedestrian Rule Compliance at Crosswalks around Parks in Montreal, Canada," IJERPH, MDPI, vol. 19(21), pages 1-17, October.
    9. Shang, Pan & Li, Ruimin & Guo, Jifu & Xian, Kai & Zhou, Xuesong, 2019. "Integrating Lagrangian and Eulerian observations for passenger flow state estimation in an urban rail transit network: A space-time-state hyper network-based assignment approach," Transportation Research Part B: Methodological, Elsevier, vol. 121(C), pages 135-167.
    10. Ma, Xinwei & Zhang, Shuai & Wu, Tao & Yang, Yizhe & Yu, Jiajie, 2023. "Can dockless and docked bike-sharing substitute each other? Evidence from Nanjing, China," Renewable and Sustainable Energy Reviews, Elsevier, vol. 188(C).
    11. Zhou, Zi-Xuan & Nakanishi, Wataru & Asakura, Yasuo, 2021. "Data-driven framework for the adaptive exit selection problem in pedestrian flow: Visual information based heuristics approach," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 583(C).
    12. Feliciani, Claudio & Jia, Xiaolu & Murakami, Hisashi & Ohtsuka, Kazumichi & Vizzari, Giuseppe & Nishinari, Katsuhiro, 2023. "Social groups in pedestrian crowds as physical and cognitive entities: Extent of modeling and motion prediction," Transportation Research Part A: Policy and Practice, Elsevier, vol. 176(C).
    13. Chiara Gruden & Irena Ištoka Otković & Matjaž Šraml, 2021. "Safety Analysis of Young Pedestrian Behavior at Signalized Intersections: An Eye-Tracking Study," Sustainability, MDPI, vol. 13(8), pages 1-16, April.
    14. Ye, Rui & Wang, Qiao & Zeng, Guang & Huang, Zhongyi & Gao, Yan & Fang, Zhiming, 2022. "Trajectory-based analysis on pedestrian merging flow on a stair landing," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 603(C).
    15. Zhang, Yijing & Lu, Linjun & Liu, Qiujia & Hu, Miaoqing, 2023. "Modeling of low-risk behavior of pedestrian movement based on dynamic data analysis," Transportation Research Part A: Policy and Practice, Elsevier, vol. 168(C).
    16. Ji, Shujuan & Wang, Xin & Lyu, Tao & Liu, Xiaojie & Wang, Yuanqing & Heinen, Eva & Sun, Zhenwei, 2022. "Understanding cycling distance according to the prediction of the XGBoost and the interpretation of SHAP: A non-linear and interaction effect analysis," Journal of Transport Geography, Elsevier, vol. 103(C).
    17. Zhao, Yongxiang & Li, Meifang & Lu, Xin & Tian, Lijun & Yu, Zhiyong & Huang, Kai & Wang, Yana & Li, Ting, 2017. "Optimal layout design of obstacles for panic evacuation using differential evolution," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 465(C), pages 175-194.
    18. Liu, Xiaodong & Song, Weiguo & Fu, Libi & Fang, Zhiming, 2016. "Experimental study of pedestrian inflow in a room with a separate entrance and exit," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 442(C), pages 224-238.
    19. Zhang, X.L. & Weng, W.G. & Yuan, H.Y. & Chen, J.G., 2013. "Empirical study of a unidirectional dense crowd during a real mass event," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 392(12), pages 2781-2791.
    20. Li, Weigang & Liu, Jian, 2023. "Analysis of the evolution of pedestrian crossing based on dynamic penalty mechanism," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 623(C).

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:transa:v:178:y:2023:i:c:s0965856423002859. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/wps/find/journaldescription.cws_home/547/description#description .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.