Design Strategies of Subway Guidance System from the Perspective of Information Processing

FANG Xing, LIU Lian, GUO Qihan, DONG Jiangyue

Packaging Engineering ›› 2024, Vol. 45 ›› Issue (14) : 26-35.

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Packaging Engineering ›› 2024, Vol. 45 ›› Issue (14) : 26-35. DOI: 10.19554/j.cnki.1001-3563.2024.14.004

Design Strategies of Subway Guidance System from the Perspective of Information Processing

  • FANG Xing, LIU Lian, GUO Qihan, DONG Jiangyue
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Abstract

By sorting out the current status of subway guidance system design, the work aims to explore the design strategies of subway guidance system from the perspective of information processing to improve passengers' way-finding experience. Through literature analysis and current status investigation, the existing problems in the design of subway guidance system at this stage were analyzed, the feasibility of information processing model was discussed, and a subway guidance information processing model was constructed. With the subway in Wuhan as an example, the effectiveness of the current guidance system was evaluated qualitatively and quantitatively and the pain points were determined. Based on the model, the pain points of the subway guidance system were classified and analyzed from three levels of perception processing, memory storage, and decision execution. A subway guidance information processing model is constructed, and three strategies are proposed, including presentation-level design based on perception, structural-level design based on memory, and behavioral-level design based on decision-making. The investigation on the design of the subway guidance system from an information processing perspective can not only improve passengers' way-finding experience, but also effectively improve the overall operating efficiency of the subway system.

Key words

subway guidance system design; information processing model; guidance design; subway space

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FANG Xing, LIU Lian, GUO Qihan, DONG Jiangyue. Design Strategies of Subway Guidance System from the Perspective of Information Processing[J]. Packaging Engineering. 2024, 45(14): 26-35 https://doi.org/10.19554/j.cnki.1001-3563.2024.14.004
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