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基于行人认知规律的地铁引导标识信息优化

郝亚睿 雷斌 张源 孙盈娅

郝亚睿, 雷斌, 张源, 孙盈娅. 基于行人认知规律的地铁引导标识信息优化[J]. 交通信息与安全, 2021, 39(4): 99-107. doi: 10.3963/j.jssn.1674-4861.2021.04.013
引用本文: 郝亚睿, 雷斌, 张源, 孙盈娅. 基于行人认知规律的地铁引导标识信息优化[J]. 交通信息与安全, 2021, 39(4): 99-107. doi: 10.3963/j.jssn.1674-4861.2021.04.013
HAO Yarui, LEI Bin, ZHANG Yuan, SUN Yingya. Optimization of Guide Signs in Subways Based on Pedestrian Cognition Laws[J]. Journal of Transport Information and Safety, 2021, 39(4): 99-107. doi: 10.3963/j.jssn.1674-4861.2021.04.013
Citation: HAO Yarui, LEI Bin, ZHANG Yuan, SUN Yingya. Optimization of Guide Signs in Subways Based on Pedestrian Cognition Laws[J]. Journal of Transport Information and Safety, 2021, 39(4): 99-107. doi: 10.3963/j.jssn.1674-4861.2021.04.013

基于行人认知规律的地铁引导标识信息优化

doi: 10.3963/j.jssn.1674-4861.2021.04.013
基金项目: 

陕西省交通科技项目 16-40K

陕西省交通科技项目 20-05R

陕西省科学技术厅社会发展领域项目 2021SF-486

详细信息
    作者简介:

    郝亚睿(1996—), 硕士研究生.研究方向: 城市轨道交通.E-mail: haoyarui@xauat.edu.cn

    通讯作者:

    雷斌(1978—), 博士, 教授.研究方向: 城市轨道交通.E-mail: 371503770@qq.com

  • 中图分类号: U291.69

Optimization of Guide Signs in Subways Based on Pedestrian Cognition Laws

  • 摘要: 地铁引导标识担负着引导行人出行的重要功能, 目前许多引导标识设置混乱, 信息过载, 导致认知率较低。为了使行人更高效地从引导标识获取信息, 从行人认知规律出发, 分别针对行人的瞬时记忆、短时记忆遗忘规律设计了室内认知试验, 通过对引导标识信息进行组块划分, 对不同组块数量标识的瞬时记忆容量进行研究; 采用“Brown-Peterson”法对短时记忆中信息的遗忘规律进行探究。研究结果表明: 行人3 s瞬时记忆量在4±1个信息块; 行人在没有复述的情况下, 信息记忆可以保持15~20 s。在西安市地铁2/3号线的换乘站小寨站进行行人跟踪试验, 观察行人行为特征, 分析引导标识设置存在的问题。观察结果与室内认知试验研究一致, 验证了室内认知试验的科学性。

     

  • 图  1  组块信息标识

    Figure  1.  Chunk information on guide signs

    图  2  短时记忆试验流程

    Figure  2.  Procedures of the short-term memory test

    图  3  被试者年龄分布

    Figure  3.  Age distribution of subjects

    图  4  瞬时记忆与短时记忆、长时记忆的关系

    Figure  4.  Relationship among immediate, short-term, and long-term memories

    图  5  不同组块标识瞬时记忆准确率折线图

    Figure  5.  Accuracy line of the immediate memory of different chunks on guide signs

    图  6  各组块标识瞬时记忆频数图

    Figure  6.  Frequency distribution of the immediate memory for different chunk numbers on guide signs

    图  7  不同年龄行人短时记忆准确率曲线图

    Figure  7.  Accuracy line of the short-term memory for samples with different ages

    图  8  不同性别行人短时记忆准确率曲线图

    Figure  8.  Accuracy line of the short-term memory for samples with different genders

    图  9  引导信息记忆量遗忘的模型曲线

    Figure  9.  Forgetting-model curve of the memory capacitance of guide information

    图  10  站厅停留点位

    Figure  10.  Staying points in the station hall

    图  11  行人平均停留时间与标识组块数关系图

    Figure  11.  Relationship between pedestrian average stop time and the chunk numbers on guide signs

    图  12  楼梯处悬挂式标识设置形式

    Figure  12.  Setup form of hanging signs at stairs

    图  13  进站乘车悬挂式引导标识

    Figure  13.  Hanging guide signs for entering a station and taking trains

    表  1  不同组块标识

    Table  1.   Different chunked signs

    表  2  不同组块标识瞬时记忆

    Table  2.   Immediate memory for different chunk numbers on guide signs

    标识类型 记忆量均值/组块 记忆准确率/%
    3组块 1.81 60.33
    4组块 2.73 68.25
    5组块 2.65 53.00
    6组块 3.03 50.50
    8组块 3.34 41.75
    12组块 3.77 31.42
    下载: 导出CSV

    表  3  不同性别行人短时记忆的标识信息量准确率

    Table  3.   Accuracy rate of the short-term memory for samples with different genders

    性别 不同记忆时间间隔(s)行人短时记忆准确率/%
    5 10 20 40 60
    84.25 80.26 71.05 66.67 63.60
    82.08 78.30 68.88 66.04 62.26
    下载: 导出CSV

    表  4  测试者各时间节点的引导信息记忆量

    Table  4.   Memory capacitance of guide information at each time node of test subjects

    时间/s 各时间节点引导信息记忆量/%
    5 83.25
    10 79.32
    20 70.00
    40 66.37
    60 63.00
    下载: 导出CSV

    表  5  行人停留数据

    Table  5.   Stopping data of pedestrians

    停留点位 停留次数 标识组块数
    1 6 4
    2 17 7
    3 22 10
    4 11 8
    5 42 12
    6 4 5
    7 1 5
    8 18 8
    9 23 8
    10 9 5
    下载: 导出CSV
  • [1] 宋波, 陈芳, 苏经宇. 地铁应急疏散标识系统优化[J]. 北京工业大学学报, 2008, 34(5): 504-510. https://www.cnki.com.cn/Article/CJFDTOTAL-BJGD200805013.htm

    SONG Bo, CHEN Fang, SU Jingyu. Optimization of subway emergency evacuation sign system[J]. Journal of Beijing University of Technology, 2008, 34(5): 504-510. (in Chinese) https://www.cnki.com.cn/Article/CJFDTOTAL-BJGD200805013.htm
    [2] ICHIRO W. Standardized guide signs at Yokohama station[J]. Japanese Railway Engineering, 2005(45): 16-18. http://trid.trb.org/view/765881
    [3] FILIPPIDIS L, GALEA E R, GWYNNE S, et al. Representing the influence of signage on evacuation behavior within an evacuation model[J]. Journal of Fire Protection Engineering, 2006, 16(1): 37-73. doi: 10.1177/1042391506054298
    [4] 韩艳欣, 张喜. 基于遗传算法的车站标识决策点布设方法研究[J]. 铁路计算机应用, 2009, 18(11): 10-13. doi: 10.3969/j.issn.1005-8451.2009.11.004

    HAN Yanxin, ZHANG Xi. Research on optimization method for decision making point of guide sign in passenger station based on GA[J]. Railway Computer Application, 2009, 18(11): 10-13. (in Chinese) doi: 10.3969/j.issn.1005-8451.2009.11.004
    [5] 穆瑞杰. 基于遗传算法的地铁车站引导标识布点探析[J]. 郑州大学学报(工学版), 2018, 39(1): 73-77. https://www.cnki.com.cn/Article/CJFDTOTAL-ZZGY201801013.htm

    MU Ruijie. Analysis on the layout of subway station guidance signs based on genetic algo-rithm[J]. Journal of Zhengzhou University(Engineering Science Edition), 2018, 39(1): 73-77. (in Chinese) https://www.cnki.com.cn/Article/CJFDTOTAL-ZZGY201801013.htm
    [6] KONG Jian, SHU Yu, MA Shi, et al. Comprehensive evaluation research on efficacy of service sign system of subway station[J]. Journal of Tongji University, 2007, 35(8): 1064-1068. http://www.researchgate.net/publication/286606067_Comprehensive_evaluation_research_on_efficacy_of_service_sign_system_of_subway_station
    [7] NASSAR K. Sign visibility for pedestrians assessed with Agent-based simulation[J]. Transportation Research Record, 2011, 2264(1): 18-26. doi: 10.3141/2264-03
    [8] VILAR E, REBELO F, NORIEGA P, et al. Effects of competing environmental variables and signage on route-choices in simulated everyday and emergency wayfinding situations[J]. Ergonomics, 2014, 57(4): 511. doi: 10.1080/00140139.2014.895054
    [9] WANG W L, LO S M, LIU S B, et al. Microscopic modeling of pedestrian movement behavior: Interacting with visual attractors in the environment[J]. Transportation Research Part C: Emerging Technologies, 2014(44): 21-33. http://www.onacademic.com/detail/journal_1000036091868410_e918.html
    [10] 张蜇, 贾利民, 秦勇. 基于协同引导的地铁站台导向标识系统布局优化[J]. 交通运输系统工程与信息, 2016, 16(4): 146-152. doi: 10.3969/j.issn.1009-6744.2016.04.021

    ZHANG Zhen, JIA Limin, QIN Yong. Optimization of signage system configuration on metro platform based on cooperative guidance[J]. Journal of Transportation Systems Engineering and Information Technology, 2016, 16(4): 146-152. (in Chinese) doi: 10.3969/j.issn.1009-6744.2016.04.021
    [11] 原志路. 基于改进社会力模型的行人流疏散仿真研究[D]. 长春: 吉林大学, 2017.

    YUAN Zhilu. Research on simulation of pedestrian flow evacuation based on improved social force model[D]. Changchun: Jilin University, 2017. (in Chinese)
    [12] LEI Bin, XU Jinliang, LI Menghui, et al. Enhancing role of guiding signs setting in metro stations with incorporation of microscopic behavior of pedestrians[J]. Sustainability, 2019, 11(21): 6109. doi: 10.3390/su11216109
    [13] 林雨, 潘晓东, 方守恩. 指路标志信息量与认知性关系研究[J]. 交通运输工程与信息学报, 2005(3): 73-77. doi: 10.3969/j.issn.1672-4747.2005.03.011

    LIN Yu, PAN Xiaodong, FANG Shouen. Relationship between information quantum of traffic guide sign and its cognition[J]. Journal of Transportation Engineering and Information, 2005(3): 73-77. (in Chinese) doi: 10.3969/j.issn.1672-4747.2005.03.011
    [14] SANTIAGO O B, LOUISE V. Urban signs. The relationship between signage and road accidents[J]. Design Journal, 2019, 22(1): 2163-2164.
    [15] LI Zhihong, XU Wangtu (Ato). Path decision modelling for passengers in the urban rail transit hub under the guidance of traffic signs[J]. Journal of Ambient Intelligence and Humanized Computing, 2019, 10(1): 365-372. doi: 10.1007/s12652-017-0544-y
    [16] 王甦, 汪安圣. 认知心理学[M]. 重排本. 北京: 北京大学出版社, 2010.

    WANG Su, WANG Ansheng. Introduction to cognitive psychology[M](Rearrangement). Beijing: Peking University Press, 2010. (in Chinese)
    [17] INTONS-PETERSON M J, ROCCHI P, WEST T, et al. Age, testing at preferred or nonpreferred times(testing optimality), and false memory[J]. Journal of Experimental Psychology: Learning, Memory, and Cognition, 1999, 25(1): 23-40. doi: 10.1037/0278-7393.25.1.23
    [18] MILLER G A. The magical number seven plus or minus two: Some limits on our capacity for processing information[J]. Psychological Review, 1956, 63(2): 81-87. doi: 10.1037/h0043158
    [19] COWAN N. The magical mystery four: How is working memory capacity limited, and why?[J]. Current Directions in Psychological Science, 2010, 19(1): 51-57. doi: 10.1177/0963721409359277
    [20] ATKINSON R C, SHIFFRIN R M. Human memory: A proposed system and its control processes[J]. Psychology of Learning and Motivation, 1968(2): 89-195.
    [21] EBBINGHAUS H. A supposed law of memory[J]. Mind, 1886, 11(42): 300.
    [22] 刘星星. 基于驾驶人短时记忆及其衰减特性的城市交叉口指路标志安全设计方法[D]. 西安: 长安大学, 2017.

    LIU Xingxing. The safety designing methods of the intersection guide sign in city based on drivers'short-term memory and its attenuation characteristics[D]. Xi'an: Chang'an University, 2017. (in Chinese)
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  • 收稿日期:  2021-01-25

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