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Impact of “keep left” measure on pedestrians, cyclists and e-scooter riders at a crossing of a signalised junction

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  • Che, Maohao
  • Wong, Yiik Diew
  • Lum, Kit Meng
  • Liu, Shuai

Abstract

On a signalised crossing of a junction, large bidirectional flows of pedestrians, cyclists and e-scooter (ES) riders would converge and interact with each other in a confined space over a short time interval during each signal-enabled crossing stage. Such shared space interaction has hardly been researched. We experimented with a measure that encourages pedestrians’ “keep left” behaviour while promoting channelisation between pedestrians versus cyclists/ES riders. The impact of the treatment was examined by intercept perception survey and naturalistic observations of trajectory movements via video analysis. The findings showed that pedestrians adopted better keep-left discipline after the treatment, which consequently reduced their perceived conflict levels with other oncoming traffic agents on the crossing which increased their crossing speed. Cyclists and ES riders also indicated lower conflict levels when pedestrian movements on the crossing become more predictable.

Suggested Citation

  • Che, Maohao & Wong, Yiik Diew & Lum, Kit Meng & Liu, Shuai, 2024. "Impact of “keep left” measure on pedestrians, cyclists and e-scooter riders at a crossing of a signalised junction," Transportation Research Part A: Policy and Practice, Elsevier, vol. 179(C).
    • Handle: RePEc:eee:transa:v:179:y:2024:i:c:s0965856423003622
    DOI: 10.1016/j.tra.2023.103942
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    References listed on IDEAS

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    1. Ashwani Kumar & Viet Nguyen & Kwong Teo, 2016. "Commuter cycling policy in Singapore: a farecard data analytics based approach," Annals of Operations Research, Springer, vol. 236(1), pages 57-73, January.
    2. Hebe Gibson & Angela Curl & Lee Thompson, 2022. "Blurred boundaries: E-scooter riders’ and pedestrians’ experiences of sharing space," Mobilities, Taylor & Francis Journals, vol. 17(1), pages 69-84, January.
    3. Che, Maohao & Wong, Yiik Diew & Lum, Kit Meng & Wang, Xueqin, 2021. "Interaction behaviour of active mobility users in shared space," Transportation Research Part A: Policy and Practice, Elsevier, vol. 153(C), pages 52-65.
    4. Ashwani Kumar & Viet Anh Nguyen & Kwong Meng Teo, 2016. "Commuter cycling policy in Singapore: a farecard data analytics based approach," Annals of Operations Research, Springer, vol. 236(1), pages 57-73, January.
    5. 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.
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    Cited by:

    1. Feng, Zhongxiang & Gao, Ya & Zhu, Dianchen & Chan, Ho-Yin & Zhao, Mingming & Xue, Rui, 2024. "Impact of risk perception and trust in autonomous vehicles on pedestrian crossing decision: Navigating the social-technological intersection with the ICLV model," Transport Policy, Elsevier, vol. 152(C), pages 71-86.

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