IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v15y2023i17p12690-d1222469.html
   My bibliography  Save this article

Optimization Method of Subway Station Guide Sign Based on Pedestrian Walking Behavior

Author

Listed:
  • Yifei Suo

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

  • Bin Lei

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

  • Tianxiang Xun

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

  • Na Li

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

  • Dongbo Lei

    (Operation Branch of Xi’an Rail Transit Group Co., Ltd., Xi’an 710055, China)

  • Linlin Luo

    (Operation Branch of Xi’an Rail Transit Group Co., Ltd., Xi’an 710055, China)

  • Xiaoqin Cao

    (Operation Branch of Xi’an Rail Transit Group Co., Ltd., Xi’an 710055, China)

Abstract

The appropriate distribution of the guide signs in subway stations can allow passengers to obtain direction and wayfinding information quickly and accurately. The existing setting methods of subway station guide signs mainly consider the locations of facilities and pedestrian flowlines in the station. Therefore, this research proposes an optimization method based on pedestrian walking behavior to set guide signs more realistically and increase the guidance efficiency of signs. Firstly, through on-site investigation, this research analyzed the walking behavior characteristics of pedestrians and measured the average speed of pedestrians in different spaces to quantify the walking characteristics. Then, the guidance level of guide signs was defined to describe the guide ability of each sign and was the basis for determining the distribution of the guide signs. The constraint of the distance between two adjacent guide signs was added according to the short-term memory of pedestrian walking identification. Moreover, the variable of the number of floors between the two adjacent signs was added to avoid calculating floor-by-floor. Finally, Xi’an Xiaozhai Station was selected as an example to verify the proposed optimization method using the AnyLogic 8.7.6. The results show that the guide sign optimization method based on pedestrian walking behavior proposed in this paper can obtain an accurate distribution of guide signs, which can decrease the outbound time by 18.51s at the most, and the thickness at the bottleneck decreases by 5.90%.

Suggested Citation

  • 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.
    • Handle: RePEc:gam:jsusta:v:15:y:2023:i:17:p:12690-:d:1222469
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/15/17/12690/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2071-1050/15/17/12690/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Minhua Shao & Congcong Xie & Lijun Sun & Lijuan Jiang, 2019. "Optimal Layout of Static Guidance Information in Comprehensive Transportation Hubs Based on Passenger Pathfinding Behavior," Sustainability, MDPI, vol. 11(13), pages 1-21, July.
    2. Shabna SayedMohammed & Anshi Verma & Charitha Dias & Wael Alhajyaseen & Abdulkarim Almukdad & Kayvan Aghabayk, 2022. "Crowd Evacuation through Crossing Configurations: Effect of Crossing Angles and Walking Speeds on Speed Variation and Evacuation Time," Sustainability, MDPI, vol. 14(22), pages 1-21, November.
    3. 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.
    4. Francesco Pinna & Roberto Murrau, 2018. "Age Factor and Pedestrian Speed on Sidewalks," Sustainability, MDPI, vol. 10(11), pages 1-23, November.
    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. 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. Yibang Zhang & Yukun Zou & Zhenjun Zhu & Xiucheng Guo & Xin Feng, 2022. "Evaluating Pedestrian Environment Using DeepLab Models Based on Street Walkability in Small and Medium-Sized Cities: Case Study in Gaoping, China," Sustainability, MDPI, vol. 14(22), pages 1-23, November.
    3. Banerjee, Arunabha & Das, Sanhita & Maurya, Akhilesh Kumar, 2024. "Behavioural characteristics influencing walking speed of pedestrians over elevated facilities: A case study of India," Transport Policy, Elsevier, vol. 147(C), pages 169-182.
    4. Jiawei Gui & Qunqi Wu, 2020. "Multiple Utility Analyses for Sustainable Public Transport Planning and Management: Evidence from GPS-Equipped Taxi Data in Haikou," Sustainability, MDPI, vol. 12(19), pages 1-46, September.
    5. Avital Angel & Achituv Cohen & Sagi Dalyot & Pnina Plaut, 2023. "Impact of COVID-19 policies on pedestrian traffic and walking patterns," Environment and Planning B, , vol. 50(5), pages 1178-1193, June.
    6. 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.
    7. 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.
    8. 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.
    9. Fernando Fonseca & Elisa Conticelli & George Papageorgiou & Paulo Ribeiro & Mona Jabbari & Simona Tondelli & Rui Ramos, 2021. "Levels and Characteristics of Utilitarian Walking in the Central Areas of the Cities of Bologna and Porto," Sustainability, MDPI, vol. 13(6), pages 1-22, March.
    10. Jiarui Ren & Guangxiong Mao & Fei Zhang & Yuhang Wei, 2020. "Research on Investment Decision-Making in Waterway Engineering Based on the Hub Economic Index," Sustainability, MDPI, vol. 12(4), pages 1-19, February.
    11. 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.

    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:gam:jsusta:v:15:y:2023:i:17:p:12690-:d:1222469. 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: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    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.