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Enhancing Role of Guiding Signs Setting in Metro Stations with Incorporation of Microscopic Behavior of Pedestrians

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Listed:
  • Bin Lei

    (School of Civil Engineering, Xi’an University of Architecture and Technology, Xi’an 710055, China)

  • Jinliang Xu

    (College of Highway Engineering, Chang’an University, Xi’an 710064, China)

  • Menghui Li

    (China Harbour Engineering Company Limited, Beijing 100027, China)

  • Haoru Li

    (College of Highway Engineering, Chang’an University, Xi’an 710064, China)

  • Jin Li

    (Department of Highway and Architecture, Shandong Transport Vocational College, Weifang 261206, China)

  • Zhen Cao

    (School of Civil Engineering, Xi’an University of Architecture and Technology, Xi’an 710055, China)

  • Yarui Hao

    (School of Civil Engineering, Xi’an University of Architecture and Technology, Xi’an 710055, China)

  • Yuan Zhang

    (School of Civil Engineering, Xi’an University of Architecture and Technology, Xi’an 710055, China)

Abstract

In the metro operation environment, guiding signs provide direction and route conversion instructions to pedestrians. In metro stations with massive passenger flow, the rationality of sign setting would exert distinct effects on the efficiency of passenger flow. Currently, most studies on guiding signs focus on architecture, aesthetics and simulation. However, perspectives from humanization of pedestrian guidance signs such as pedestrian behavior needs and pedestrian cognition were seldom proposed. In this paper, the microscopic behavior characteristics data of pedestrians at different positions in typical metro stations were collected through pedestrian tracking experiments. After analyzing the characteristics of pedestrians’ microscopic behavior in metro stations, otherness of walking speed was found out among pedestrians in different types of passageways. The walking speed of pedestrians in closed-type passageways is higher than other types. Moreover, pedestrian speed at the stairs adjacent to the platform is higher than that at the stairs not adjacent to the platform. With the increase of crowd density, the change of walking speed of pedestrians can be represented by a unimodal curve. Finally, the key points of optimal setting of guiding signs in different regions and different periods were obtained according to the result analysis of the experiment. The research results of this paper can provide theoretical support and technical guidance for the optimal establishment of pedestrian guiding signs in metro stations with massive passenger flow.

Suggested Citation

  • Bin Lei & Jinliang Xu & Menghui Li & Haoru Li & Jin Li & Zhen Cao & Yarui Hao & Yuan Zhang, 2019. "Enhancing Role of Guiding Signs Setting in Metro Stations with Incorporation of Microscopic Behavior of Pedestrians," Sustainability, MDPI, vol. 11(21), pages 1-14, November.
    • Handle: RePEc:gam:jsusta:v:11:y:2019:i:21:p:6109-:d:282932
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    References listed on IDEAS

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    1. Gipps, P.G. & Marksjö, B., 1985. "A micro-simulation model for pedestrian flows," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 27(2), pages 95-105.
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    Cited by:

    1. Yuqi Shi & Yi Zhang & Tao Wang & Chaoyang Li & Shengqiang Yuan, 2020. "The Effects of Ambient Illumination, Color Combination, Sign Height, and Observation Angle on the Legibility of Wayfinding Signs in Metro Stations," Sustainability, MDPI, vol. 12(10), pages 1-20, May.
    2. Wenying Zhang & Lian Zhu & Zixuan Zhang & Zhan Zhang & Linjun Lu, 2020. "A Sustainable Evaluation Method for a Tourism Public Wayfinding System: A Case Study of Shanghai Disneyland Resort," Sustainability, MDPI, vol. 12(20), pages 1-18, October.
    3. Haoru Li & Jinliang Xu & Xiaodong Zhang & Fangchen Ma, 2021. "How Do Subway Signs Affect Pedestrians’ Wayfinding Behavior through Visual Short-Term Memory?," Sustainability, MDPI, vol. 13(12), pages 1-17, June.
    4. Liang Sun & Yao Xu & Sijing Teng & Bo Wang & Ming Li & Shanmin Ding, 2022. "Research into the Visual Saliency of Guide Signs in an Underground Commercial Street Based on an Eye-Movement Experiment," Sustainability, MDPI, vol. 14(23), pages 1-23, December.
    5. Wenting Jin & Ying Yao & Guichao Ren & Xiaohua Zhao, 2022. "Evaluation of Integration Information Signage in Transport Hubs Based on Building Information Modeling and Virtual Reality Technologies," Sustainability, MDPI, vol. 14(16), pages 1-20, August.
    6. Yifei Suo & Bin Lei & Tianxiang Xun & Na Li & Dongbo Lei & Linlin Luo & Xiaoqin Cao, 2023. "Optimization Method of Subway Station Guide Sign Based on Pedestrian Walking Behavior," Sustainability, MDPI, vol. 15(17), pages 1-18, August.

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