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Optimal Layout of Static Guidance Information in Comprehensive Transportation Hubs Based on Passenger Pathfinding Behavior

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  • Minhua Shao

    (School of Transportation Engineering, Tongji University, 4800 Cao’an Highway, Shanghai 201804, China
    Key Laboratory of Road and Traffic Engineering of the Ministry of Education, Tongji University, Shanghai 201804, China)

  • Congcong Xie

    (School of Transportation Engineering, Tongji University, 4800 Cao’an Highway, Shanghai 201804, China
    Key Laboratory of Road and Traffic Engineering of the Ministry of Education, Tongji University, Shanghai 201804, China)

  • Lijun Sun

    (School of Transportation Engineering, Tongji University, 4800 Cao’an Highway, Shanghai 201804, China
    Key Laboratory of Road and Traffic Engineering of the Ministry of Education, Tongji University, Shanghai 201804, China)

  • Lijuan Jiang

    (School of Transportation Engineering, Tongji University, 4800 Cao’an Highway, Shanghai 201804, China
    Key Laboratory of Road and Traffic Engineering of the Ministry of Education, Tongji University, Shanghai 201804, China)

Abstract

Passenger orientation (pathfinding) is an important factor in designing the layout of comprehensive transportation hubs, especially for static guidance sign systems. In essence, static guidance signs within the hub should be designed according to passengers’ pathfinding demand, that is, to provide passengers with accurate information at the appropriate location. Therefore, from the perspective of passenger information demand, this study aims to determine the appropriate location and density of static guidance information. Two types of passenger information demand in the pathfinding process are defined in this study: one is generated at the path decision point, where multiple path options exist; the other is at the points between decision points, where pathfinders need to confirm that they are still on the correct path. According to the interaction of pathfinding behavior and guidance information, the abstract relationship model is established between macro-behavioral characteristics and the micro-psychological state. Moreover, based on walking speed analysis, the judgment criterion of passenger psychology in pathfinding is proposed to determine the spatial location and density of guidance information. The analysis results of Shanghai Hongqiao International Airport show that, under the threshold of the speed drop section given in the study, 80% of passenger information demand is satisfied when guidance information spacing is 47 m, and 60% of information demand is satisfied when the spacing is 56 m. The findings presented in this paper can provide a reference for the optimal design of static guidance information in comprehensive transportation hubs.

Suggested Citation

  • 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.
  • Handle: RePEc:gam:jsusta:v:11:y:2019:i:13:p:3684-:d:245761
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    References listed on IDEAS

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    1. Tam, Mei Ling, 2011. "An optimization model for wayfinding problems in terminal building," Journal of Air Transport Management, Elsevier, vol. 17(2), pages 74-79.
    2. Jianxin Lin & Rui Song & Jifeng Dai & Pengpeng Jiao, 2014. "Pedestrian Guiding Signs Optimization for Airport Terminal," Discrete Dynamics in Nature and Society, Hindawi, vol. 2014, pages 1-14, February.
    3. Marisol Castro & Francisco Martínez & Marcela Munizaga, 2013. "Estimation of a constrained multinomial logit model," Transportation, Springer, vol. 40(3), pages 563-581, May.
    4. Maël Lebreton & Karin Bacily & Stefano Palminteri & Jan B Engelmann, 2019. "Contextual influence on confidence judgments in human reinforcement learning," PLOS Computational Biology, Public Library of Science, vol. 15(4), pages 1-27, April.
    5. Lam, W.H.K. & Tam, Mei-ling & Wong, S.C. & Wirasinghe, S.C., 2003. "Wayfinding in the passenger terminal of Hong Kong International Airport," Journal of Air Transport Management, Elsevier, vol. 9(2), pages 73-81.
    6. Carlos F. Daganzo & Yosef Sheffi, 1977. "On Stochastic Models of Traffic Assignment," Transportation Science, INFORMS, vol. 11(3), pages 253-274, August.
    7. Churchill, Anthony & Dada, Ezekiel & de Barros, Alexandre G. & Wirasinghe, S.C., 2008. "Quantifying and validating measures of airport terminal wayfinding," Journal of Air Transport Management, Elsevier, vol. 14(3), pages 151-158.
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    2. 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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