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交通安全意识对非机动车骑行者危险骑行行为的影响研究

裴玉龙 龙钰 马丹

裴玉龙, 龙钰, 马丹. 交通安全意识对非机动车骑行者危险骑行行为的影响研究[J]. 交通信息与安全, 2024, 42(1): 49-58. doi: 10.3963/j.jssn.1674-4861.2024.01.006
引用本文: 裴玉龙, 龙钰, 马丹. 交通安全意识对非机动车骑行者危险骑行行为的影响研究[J]. 交通信息与安全, 2024, 42(1): 49-58. doi: 10.3963/j.jssn.1674-4861.2024.01.006
PEI Yulong, LONG Yu, MA Dan. Impacts of Traffic Safety Awareness on Risky Riding Behaviors among Non-Motorized Cyclists[J]. Journal of Transport Information and Safety, 2024, 42(1): 49-58. doi: 10.3963/j.jssn.1674-4861.2024.01.006
Citation: PEI Yulong, LONG Yu, MA Dan. Impacts of Traffic Safety Awareness on Risky Riding Behaviors among Non-Motorized Cyclists[J]. Journal of Transport Information and Safety, 2024, 42(1): 49-58. doi: 10.3963/j.jssn.1674-4861.2024.01.006

交通安全意识对非机动车骑行者危险骑行行为的影响研究

doi: 10.3963/j.jssn.1674-4861.2024.01.006
基金项目: 

国家重点研发计划项目 2017YFC0803901

黑龙江省重点研发计划项目 JD22A014

详细信息
    通讯作者:

    裴玉龙(1961—),博士,教授. 研究方向:道路交通安全、交通规划和交通管理.E-mail:peiyulong@nefu.edu.cn

  • 中图分类号: U491

Impacts of Traffic Safety Awareness on Risky Riding Behaviors among Non-Motorized Cyclists

  • 摘要: 安全意识在促进安全行为方面发挥着重要作用,但由于安全意识具有多维性和复杂性,难以直接测量。为探究交通安全意识对危险骑行行为的影响,通过云模型选取安全态度、危险认知、安全素质和外界环境这4个潜变量,作为影响交通安全意识的结构要素,并基于调查问卷数据开展实证研究。运用Mplus 8.0软件构建“交通安全意识-危险骑行行为”结构方程模型,量化交通安全意识各要素作用于危险骑行行为的因果链路。采用Bootstrap法检验安全素质、危险认知和安全态度的中介作用,梳理外界环境对危险骑行行为的直接和间接关系;再利用分层回归模型,验证交通安全知识在交通安全意识与危险骑行行为间的调节效应。研究结果表明:①结构方程模型拟合良好,交通安全意识的4个要素分别与危险骑行行为呈显著的负相关,其中,危险认知对无意行为的影响最大(-0.331),安全态度对有意行为的影响最大(-0.332);②中介效应显示外界环境作为外生变量可直接作用于行为,也可通过安全素质、危险认知和安全态度对骑行者的行为产生影响;③交通安全知识的调节作用显著(∆R2 = 0.017,P<0.05),该变量强化了交通安全意识与危险骑行行为的负向影响关系,其简单斜率关系表明,当骑行者交通安全知识水平较高时,交通安全意识对危险骑行行为的作用效果更强。

     

  • 图  1  权重评语云

    Figure  1.  Cloud of weighted rubrics

    图  2  隶属度判断云图

    Figure  2.  Cloud diagram of affiliation judgement

    图  3  意识-行为结构方程模型假设

    Figure  3.  Hypothesis of the TSA-RRB SEM

    图  4  不同分组下的箱线图

    Figure  4.  Box line diagram with different groupings

    图  5  交通安全意识4因子模型

    Figure  5.  Four factor model of traffic safety awareness

    图  6  意识-行为结构方程模型和路径系数

    Figure  6.  TSA-RRB structural equation model and path coefficients

    图  7  安全知识调节作用的假设

    Figure  7.  Hypothetical of the moderating effect of safety knowledge

    图  8  正态性检验P-P图

    Figure  8.  P-P plot for normality test

    图  9  交通安全知识的调节作用

    Figure  9.  The moderating role of traffic safety knowledge

    表  1  潜变量及观测指标变量

    Table  1.   Potential variables and observation indicator variables

    结构要素 测量指标 符号 问卷参考
    安全态度
    (AT)
    对交通规则的态度 AT_1 文献[24],[25]
    对交通安全的责任感 AT_2
    对危险骑行行为的态度 AT_3
    危险认知
    (RC)
    骑行使用手机的危险程度 RC_1 文献[17],[26]
    机动车道骑行的危险程度 RC_2
    逆向骑行的危险程度 RC_3
    并排骑行的危险程度 RC_4
    安全素质
    (SQ)
    追逐骑行的危险程度 RC_5 文献[23]
    处理突发状况的能力 SQ_1
    判断周围车辆动向的能力 SQ_2
    危险源辨识 SQ_3
    骑车能力评估 SQ_4
    外界环境
    (EE)
    周围交通参与者的影响 EE_1 文献[27]
    基础设施完善程度 EE_2
    交通安全投入 EE_3
    道路交通条件 EE_4
    无意行为
    (UB)
    制度与规范 EE_5 文献[9],[28]
    疲劳骑行 UB_1
    单手骑行 UB_2
    骑行时交谈 UB_3
    有意行为
    (IB)
    在机动车道上骑行 IB_1
    看到黄灯加速抢行 IB_2
    逆向骑行 IB_3
    下载: 导出CSV

    表  2  样本描述性统计

    Table  2.   Descriptive statistics of sample

    项目 类别 比例/%
    性别 男性 54.4
    女性 45.6
    学历 高中(中专)及以下 29.7
    大学本科(含大专) 51.2
    研究生 19.1
    非机动车道设置 75.7
    24.3
    交通事故 12.8
    87.2
    下载: 导出CSV

    表  3  验证性因素分析模型拟合指数

    Table  3.   Confirmatory factor analysis model fitting index

    指数 CMIN/DF RMSEA CFI TLI SRMR
    拟合值 1.712 0.049 0.948 0.937 0.041
    参考值 ≤3 ≤0.08 ≥0.9 0.9 ≤0.08
    下载: 导出CSV

    表  4  危险骑行行为量表效度检验结果

    Table  4.   Validity test results of the risky riding behavior scale

    测量变量 因子载荷 AVE CR
    IB_1 0.75
    IB_2 0.794 0.608 0.823
    IB_3 0.794
    UB_1 0.764
    UB_2 0.858 0.657 0.852
    UB_3 0.807
    下载: 导出CSV

    表  5  模型检验指标结果

    Table  5.   Fitness statistics of the confirmatory factor analysis

    指数 CMIN/DF RMSEA CFI TLI SRMR
    拟合值 2.804 0.064 0.92 0.904 0.044
    参考值 ≤3 ≤0.08 ≥0.9 0.9 ≤0.08
    下载: 导出CSV

    表  6  意识-行为模型标准化路径系数

    Table  6.   Standardized path coefficients of the TSA-RRB structural equation model

    路径 参数结果
    参数估计 S.E. P - value 假设结论
    IB←SQ -0.163 0.058 0.005** 支持
    IB←RC -0.272 0.062 < 0.001*** 支持
    IB←AT -0.332 0.063 < 0.001*** 支持
    IB←EE -0.236 0.063 < 0.001*** 支持
    UB←SQ -0.154 0.054 0.005** 支持
    UB←RC -0.331 0.058 < 0.001*** 支持
    UB←AT -0.287 0.059 < 0.001*** 支持
    UB←EE -0.212 0.058 < 0.001*** 支持
    SQ←EE 0.285 0.054 < 0.001*** 支持
    RC←EE 0.417 0.048 < 0.001*** 支持
    AT←EE 0.324 0.056 < 0.001*** 支持
    注:* - P < 0.05显著水平;** - P < 0.01显著水平;*** - P < 0.001显著水平。
    下载: 导出CSV

    表  7  中介效应分析结果

    Table  7.   Results of the mediation effects analysis

    路径 效应量 95%置信区间
    Lower Upper
    路径1:IB←SQ←EE -0.032 -0.06 -0.009
    路径2:IB←RC←EE -0.077 -0.117 -0.041
    路径3:IB←AT←EE -0.071 -0.112 -0.037
    总间接效应 -0.18 -0.236 -0.126
    路径4:UB←SQ←EE -0.029 -0.058 -0.007
    路径5:UB←RC←EE -0.073 -0.118 -0.032
    路径6:UB←AT←EE -0.066 -0.107 -0.033
    总间接效应 -0.168 -0.224 -0.117
    下载: 导出CSV

    表  8  分层回归分析结果

    Table  8.   Hierarchical regression analysis results

    变量 模型1 模型2
    回归系数 T - value 回归系数 T - value
    截距项 2.234 2.244
    交通安全意识 -0.614 -19.371*** -0.616 -20.103***
    交通安全知识 -0.71 -27.292*** -0.704 -27.967***
    int(交互项) -0.3 -5.658***
    R2 0.746 0.763
    R2 0.017*
    下载: 导出CSV
  • [1] 国家统计局. 2022年交通事故统计数据[EB/OL]. (2023-1)[2023-3-17]. https://data.stats.gov.cn/easyquery.htm?cn=C01

    NATIONAL BUREAU OF STATISTICS. Traffic accident data for 2022[EB/OL]. (2023-1)[2023-3-17]. https://data.stats.gov.cn/easyquery.htm?cn=C01. (in Chinese)
    [2] 寇丽平. 从事故特性谈人的安全意识的培养[J]. 中国安全科学学报, 2003, 13(12): 20-24, 100. https://www.cnki.com.cn/Article/CJFDTOTAL-ZAQK200312005.htm

    KOU L P. Discussion on development of safety awareness from characteristics of accident[J]. China Safety Science Journal, 2003, 13(12): 20-24, 100. (in Chinese) https://www.cnki.com.cn/Article/CJFDTOTAL-ZAQK200312005.htm
    [3] YAHIA H A M, ISMAIL A, ALBRKA S I, et al. Attitudes and awareness of traffic safety among drivers in Tripoli-Libya[J]. Research Journal of Applied Sciences, Engineering and Technology, 2014, 7(24): 5297-5303. doi: 10.19026/rjaset.7.929
    [4] MISTUKO T, HARUKA U, SSIJI H, et al. Analysis on the impact of traffic safety measures on children's gaze behavior and their safety awareness at residential road intersections in Japan[J]. Safety Science, 2022, 150: 105706. doi: 10.1016/j.ssci.2022.105706
    [5] WANG Z, NEITZEL R L, XUE X, et al. Awareness, riding behaviors, and legislative attitudes toward electric bikes among two types of road users: an investigation in Tian Ji, a municipality in China[J]. Traffic Injury Prevention, 2019, 20(1): 72-78. doi: 10.1080/15389588.2018.1511898
    [6] 杨东, 杨依轩, 徐瑞, 等. 电力员工安全意识, 大五人格和不安全行为的关系研究[J]. 西南大学学报(自然科学版), 2021, 43(8): 129-137. https://www.cnki.com.cn/Article/CJFDTOTAL-XNND202108016.htm

    YANG D, YANG Y X, XU R, et al. Research of the relationship among safety awareness, five-factor personality and unsafe behavior of electric employees [J]. Journal of Southwest University(Natural Science Edition), 2021, 43(8): 129-137. (in Chinese) https://www.cnki.com.cn/Article/CJFDTOTAL-XNND202108016.htm
    [7] 钱乔益. 地铁乘客安全意识评价研究[D]. 昆明: 昆明理工大学, 2020.

    QIAN Q Y. Research on safety awareness evaluation of subway passengers [D]. Kunming: Kunming University of Science and Technology, 2020. (in Chinese)
    [8] 姜沁瑶, 李洁. 基于ISM的建筑工人安全意识影响因素[J]. 土木工程与管理学报, 2016, 33(3): 106-110. https://www.cnki.com.cn/Article/CJFDTOTAL-WHCJ201603018.htm

    JIANG Q Y, LI J. Influencing factors of construction workers'safety awareness based on interpretive structure model[J]. Journal of Civil Engineering and Management, 2016, 33(3): 106-110. (in Chinese) https://www.cnki.com.cn/Article/CJFDTOTAL-WHCJ201603018.htm
    [9] 冯忠祥, 季诺亚, 罗毅, 等. 基于问卷调查的公众交通安全意识评价方法[J]. 中国公路学报, 2020, 33(6): 212-223. https://www.cnki.com.cn/Article/CJFDTOTAL-ZGGL202006021.htm

    FENG Z X, JI N Y, LUO Y, et al. Questionnaire survey based evaluation of public traffic safety awareness[J]. China Journal of Highways and Transport, 2020, 33(6): 212-223. (in Chinese) https://www.cnki.com.cn/Article/CJFDTOTAL-ZGGL202006021.htm
    [10] 张昕明, 弓棣, 谢秉磊, 等. 计划行为理论视角下基于出行行为的公交防疫策略影响效果研究[J]. 交通信息与安全, 2021, 39(6): 117-125. doi: 10.3963/j.jssn.1674-4861.2021.06.014

    ZHANG X M, GONG D, XIE B L, et al. A study of the effectiveness of epidemic prevention policies on public transit usage based on the theory of planned behaviors[J]. Journal of Transport Information and Safety, 2021, 39(6): 117-125(. in Chinese doi: 10.3963/j.jssn.1674-4861.2021.06.014
    [11] NORDFJARN T, TORBJORN R. Acceptance of disincentives to driving and pro-environmental transport intentions: the role of value structure, environmental beliefs and norm activation[J]. Transportation, 2019, 46(6): 2381-2396.
    [12] 陈龙, 杨澄璐, 景鹏, 等. 老年人驾车出行转移行为影响因素分析[J]. 重庆交通大学学报(自然科学版), 2023, 42(3): 119-127. https://www.cnki.com.cn/Article/CJFDTOTAL-CQJT202303017.htm

    CHEN L, YANG C L, JING P, et al. Influencing factors on elderly adults'driving switching behavior [J]. Journal of Chongqing Jiaotong University(Natural Science), 2023, 42(3): 119-127. (in Chinese) https://www.cnki.com.cn/Article/CJFDTOTAL-CQJT202303017.htm
    [13] NG B Y, KANKANHALLI A, XU Y C. Studying users'computer security behavior: a health belief perspective[J]. Decision Support Systems, 2009, 46(4): 815-825.
    [14] 杨辰飞, 陈雪波, 孙秋柏. 企业员工安全意识影响因素的探索和分析[J]. 中国安全科学学报, 2015, 25(1): 34-39. https://www.cnki.com.cn/Article/CJFDTOTAL-ZAQK201501006.htm

    YANG C F, CHEN X B, SUN Q B. Exploration and analysis of factors influencing employees'safety awareness [J]. China Safety Science Journal, 2015, 25(1): 34-39. (in Chinese) https://www.cnki.com.cn/Article/CJFDTOTAL-ZAQK201501006.htm
    [15] KHAN N, AHMAD I, ILYAS M. Impact of ethical leadership on organizational safety performance: the mediating role of safety culture and safety consciousness[J]. Ethics & Behavior, 2018, 28(8): 628-643.
    [16] 夏越. 城乡居民道路交通安全意识差异性比较研究[D]. 焦作: 河南理工大学, 2016.

    XIA Y. The study on the difference of traffic safety awareness between urban and rural residents-a case of Jiaozuo [D]. Jiaozuo: Henan Polytechnic University, 2016. (in Chinese)
    [17] 赵双静. 基于SEM的建筑工人安全意识测量研究[D]. 西安: 西安建筑科技大学, 2019.

    ZHAO S J. Study on measurement of construction workers' safety awareness based on SEM [D]. Xi'an: Xi'an University of Architecture and Technology, 2019. (in Chinese)
    [18] 刘纪坤, 王佳茹, 王翠霞. 改进组合赋权-云模型下的地铁站突发事件应急能力评价[J]. 安全与环境学报, 2023, 23(5): 1398-1406. https://www.cnki.com.cn/Article/CJFDTOTAL-AQHJ202305006.htm

    LIU J K, WANG J R, WANG C X. Evaluation of emergency response capability of metro stations emergency under improved combination weighting-cloud model[J] Journal of Safety and Environment, 2023, 23(5): 1398-1406. (in Chinese) https://www.cnki.com.cn/Article/CJFDTOTAL-AQHJ202305006.htm
    [19] WARMERDAM A, NEWNAM S, WANG Y, et al. High performance workplace systems' influence on safety attitudes and occupational driver behavior[J]. Safety Science, 2018, 106: 146-153.
    [20] 贺宜, 孙昌鑫, 彭建华, 等. 电动载货三轮车风险行为及影响因素分析[J]. 吉林大学学报(工学版), 2023, 53(2): 413-420. https://www.cnki.com.cn/Article/CJFDTOTAL-JLGY202302011.htm

    HE Y, SUN C X, PENG J H, et al. Risk behaviors and influencing factors analysis of cargo electric tricycles [J]. Journal of Jilin University(Engineering and Technology Edition), 2023, 53(2): 413-420. (in Chinese) https://www.cnki.com.cn/Article/CJFDTOTAL-JLGY202302011.htm
    [21] 杨京帅, 李秀丽, 任书杭, 等. 驾驶人危险感知影响因素建模与试验[J]. 长安大学学报(自然科学版), 2015, 35(5): 104-110. https://www.cnki.com.cn/Article/CJFDTOTAL-XAGL201505016.htm

    YANG J S, LI X L, REN S H, et al. Modeling and experimental of influencing factors of driver'hazard perception[J]. Journal of Chang'an University(Natural Science Edition), 2015, 35(5): 104-110. (in Chinese) https://www.cnki.com.cn/Article/CJFDTOTAL-XAGL201505016.htm
    [22] SYAMSUDIN N, ELIYANA A, NURDIN N, et al. Are job satisfaction and role breadth self-efficacy the links to proactive work behavior?[J]. Heliyon, 2022, 8(1): e08710.
    [23] KACAN B, FINDIK G, UZUMCUOGLU Y, et al. Driver profiles based on values and traffic safety climate and their relationships with driver behaviors[J]. Transportation Research Part F: Traffic Psychology and Behavior, 2019, 64(7): 246-259.
    [24] ULLEBERG P, RUNDMO T. Personality, attitudes and risk perception as predictors of risky driving behavior among young drivers[J]. Safety Science, 2003, 41(5): 427-443.
    [25] RUNDMO T, NORDFJAERN T, IVERSEN H, et al. The role of risk perception and other risk-related judgements in transportation mode use[J]. Safety science, 2011, 49(2): 226-235.
    [26] IVERSEN H. Risk-taking attitudes and risky driving behaviour[J]. Transportation Research Part F: Traffic Psychology and Behaviour, 2004, 7(3): 135-150.
    [27] SI H Y, SHI J G, TANG D Z, et al. Understanding intention and behavior toward sustainable usage of bike sharing by extending the theory of planned behavior[J]. Resources, Conservation and Recycling, 2020, 152: 104513.
    [28] YAO L, WU C. Traffic safety for electric bike riders in China: attitudes, risk perception, and aberrant riding behaviors[J]. Transportation Research Record, 2012, 2314(1): 49-56.
    [29] UNDERWOOD G, NGAI A, UNDERWOOD J. Driving experience and situation awareness in hazard detection[J]. Safety Science, 2013, 56: 29-35.
    [30] HAMZAH M I, TANWIR N S. Do pro-environmental factors lead to purchase intention of hybrid vehicles? The moderating effects of environmental knowledge[J]. Journal of Cleaner Production, 2020, 279: 123643.
    [31] JING L, SHAN W, ZHANG Y. Risk preference, risk perception as predictors of risky driving behaviors: the moderating effects of gender, age, and driving experience[J]. Journal of Transportation Safety and Security, 2023, 15(5): 467-492.
    [32] NYBERG A, GREGERSEN N P. Practicing for and performance on drivers license tests in relation to gender differences in crash involvement among novice drivers[J]. Journal of Safety Research, 2007, 38(1): 71-80.
    [33] 方杰, 温忠麟, 欧阳劲樱, 等. 国内调节效应的方法学研究[J]. 心理科学进展, 2022, 30(8): 1703-1714. https://www.cnki.com.cn/Article/CJFDTOTAL-XLXD202208004.htm

    FANG J, WEN Z L, OUYANG J Y, et al. Methodological research on moderation effects in China's mainland[J]. Advances in Psychological Science, 2022, 30(8): 1703-1714. (in Chinese) https://www.cnki.com.cn/Article/CJFDTOTAL-XLXD202208004.htm
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  • 收稿日期:  2023-09-04
  • 网络出版日期:  2024-05-31

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