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

Yifei Suo, Bin Lei (), Tianxiang Xun, Na Li, Dongbo Lei, Linlin Luo and Xiaoqin Cao
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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

Sustainability, 2023, vol. 15, issue 17, 1-18

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%.

Keywords: guide sign; layout optimization; walking behavior; guidance level; subway station (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2023
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