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Trajectory Data Analysis on the Spatial and Temporal Influence of Pedestrian Flow on Path Planning Decision

Author

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  • Jeongyun Kim

    (Department of Civil and Environmental Engineering, Korea Advanced Institute of Science and Technology, Daejeon 34141, Korea)

  • Sehyun Tak

    (Department of the Fourth Industrial Revolution and Transport, The Korea Transport Institute, Sejong 30147, Korea)

  • Michel Bierlaire

    (School of Architecture, Civil and Environmental Engineering, École Polytechnique Fédérale de Lausanne, CH-1015 Lausanne, Switzerland)

  • Hwasoo Yeo

    (Department of Civil and Environmental Engineering, Korea Advanced Institute of Science and Technology, Daejeon 34141, Korea)

Abstract

The modeling of walking behavior and design of walk-friendly urban pathways have been of interest to many researchers over the past decades. One of the major issues in pedestrian modeling is path planning decision-making in a dynamic walking environment with different pedestrian flows. While previous studies have agreed that pedestrian flow influences path planning, only a few studies have dealt with the empirical data to show the relationship between pedestrian flow and path planning behavior. This study introduces a new methodology for analyzing pedestrian trajectory data to find the dynamic walking conditions that influence the path planning decision. The comparison of the pedestrians’ path shows that the higher proportion of opposite flows are, the greater they influence the path selection decision. In this study, we investigate the relationship between the opposite flow changes and path planning behavior and find the spatial and temporal ranges of the opposite flow that affects the path planning behavior. Lastly, we find the ratio of pedestrians that update their paths with respect to the opposite flow rate.

Suggested Citation

  • Jeongyun Kim & Sehyun Tak & Michel Bierlaire & Hwasoo Yeo, 2020. "Trajectory Data Analysis on the Spatial and Temporal Influence of Pedestrian Flow on Path Planning Decision," Sustainability, MDPI, vol. 12(24), pages 1-16, December.
    • Handle: RePEc:gam:jsusta:v:12:y:2020:i:24:p:10419-:d:461309
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    References listed on IDEAS

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    Cited by:

    1. Mona Jabbari & Fernando Fonseca & Rui Ramos, 2021. "Accessibility and Connectivity Criteria for Assessing Walkability: An Application in Qazvin, Iran," Sustainability, MDPI, vol. 13(7), pages 1-18, March.
    2. Ran Zhang & Zhonghua Wei & Heng Gu & Shi Qiu, 2021. "Behavior Evolution of Multi-Group in the Process of Pedestrian Crossing Based on Evolutionary Game Theory," Sustainability, MDPI, vol. 13(4), pages 1-17, February.
    3. Kestutis Zaleckis & Szymon Chmielewski & Jūratė Kamičaitytė & Indre Grazuleviciute-Vileniske & Halina Lipińska, 2022. "Walkability Compass—A Space Syntax Solution for Comparative Studies," Sustainability, MDPI, vol. 14(4), pages 1-25, February.

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