Volume 41 Issue 6
Dec.  2023
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Article Navigation >  Journal of Transport Information and Safety  > 2023  >  41(6): 161-170
YAN Yunzhu, FU Zhongning, YUE Jintian. An Analysis of the Influence Factors on Using Intention of Vehicle Idle Start-stop System with a Structural Equation Model[J]. Journal of Transport Information and Safety, 2023, 41(6): 161-170. doi: 10.3963/j.jssn.1674-4861.2023.06.018
Citation: YAN Yunzhu, FU Zhongning, YUE Jintian. An Analysis of the Influence Factors on Using Intention of Vehicle Idle Start-stop System with a Structural Equation Model[J]. Journal of Transport Information and Safety, 2023, 41(6): 161-170. doi: 10.3963/j.jssn.1674-4861.2023.06.018
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An Analysis of the Influence Factors on Using Intention of Vehicle Idle Start-stop System with a Structural Equation Model

doi: 10.3963/j.jssn.1674-4861.2023.06.018

  • Lanzhou Jiaotong University, School of Traffic and Transportation, Lanzhou 730070, China

  • Received Date: 2023-04-04
    Available Online: 2024-04-03
    Abstract
  • The vehicle idle start-stop system can significantly reduce fuel consumption and exhaust emissions. This study examines drivers' socio-economic attributes and subjective attitudes towards vehicle idle start-stop system to investigate their usage intention. A questionnaire of behavioral intention is designed with the Likert scale, and 520 valid observations are collected. The stability and reliability of the sample data are examined using common method bias test, reliability, and validity test. Under the framework of the technology acceptance model and the theory of planned behavior, a new latent variable, i.e., driver's trust in the idle start-stop system is added. The final structural equation model about usage intention of the system is established by optimizing the fitness value. From the tests of the model path hypotheses and mediation effect, the influence of each subjective factor is sorted out. Groups are divided according to socio-economic characteristics, and multiple-group models are established to analyze the specific influence of individual differences on the intention to use the system. The results found that: ① the most significant factor affecting the intention of drivers to use the vehicle idle start-stop system is their behavioral attitude; ② trust and perceived behavioral control also have a significant effect, while perceived usefulness is not a significant factor; ③ subjective norm and perceived ease of use have a significant positive effect on trust, which in turn affects the usage intention; 4) the higher-educated group is more likely to be influenced by perceived ease of use and trust, and the older and miniature-vehicle groups are more influenced by subjective norms while the oversized-vehicle group is more influenced by perceived behavioral control.

     

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    • References(25)
  • [1]
    杨帆. 装备起停系统的车辆燃油经济性和排放研究[D]. 天津: 河北工业大学, 2018.

    YANG F. Study on fuel economy and emissions of vehicles with start/stop system[D]. Tianjin: Hebei University of Technology, 2018. (in Chinese)
    [2]
    郇宁, 姚恩建. 城际组合出行行为建模及应用研究进展[J]. 清华大学学报(自然科学版), 2022, 62(7): 1112-1120. https://www.cnki.com.cn/Article/CJFDTOTAL-QHXB202207002.htm

    HUAN N, YAO E J. Advances in intermodal travel behaviour modelling[J]. Journal of Tsinghua University (Science and Technology), 2022, 62(7): 1112-1120. (in Chinese) https://www.cnki.com.cn/Article/CJFDTOTAL-QHXB202207002.htm
    [3]
    芮海田, 吴群琪. 高铁运输与民航运输选择下的中长距离出行决策行为[J]. 中国公路学报, 2016, 29(3): 134-141. https://www.cnki.com.cn/Article/CJFDTOTAL-ZGGL201603020.htm

    RUI H T, WU Q Q. Medium-and-long distance travel mode decision between high-speed rail and civil[J]. China Journal of Highway and Transport, 2016, 29(3): 134-141. (in Chinese) https://www.cnki.com.cn/Article/CJFDTOTAL-ZGGL201603020.htm
    [4]
    ZHAO X, YAN X, YU A, et al. Prediction and behavioral analysis of travel mode choice: a comparison of machine learning and Logit models[J]. Travel Behaviour and Society, 2020, 20: 22-35. doi: 10.1016/j.tbs.2020.02.003
    [5]
    韩宝明, 陈佳豪, 周玮腾, 等. 城市轨道交通运营中断条件下乘客路径选择模型[J]. 同济大学学报(自然科学版), 2023, 51(2): 238-246. https://www.cnki.com.cn/Article/CJFDTOTAL-TJDZ202302011.htm

    HAN B M, CHEN J H, ZHOU W T, et al. Passenger route choice model under the condition of urban rail transit operation disruption[J]. Journal of Tongji University(Natural Science), 2023, 51(2): 238-246. (in Chinese) https://www.cnki.com.cn/Article/CJFDTOTAL-TJDZ202302011.htm
    [6]
    LU R, GUO X, LI J, et al. Travel behavior of rural tourists considering bus route preference[J]. Journal of Southeast University, 2023, 39(1): 49-61.
    [7]
    魏丽英, 刘鲁建. 新冠肺炎疫情下居民出行方式选择行为分析[J]. 北京交通大学学报, 2022, 46(6): 52-61, 92. https://www.cnki.com.cn/Article/CJFDTOTAL-BFJT202206007.htm

    WEI L Y, LIU L J. Analysis of residents' travel mode choice during COVID-19 pandemic[J]. Journal of Beijing Jiaotong University, 2022, 46(6): 52-61, 92. (in Chinese) https://www.cnki.com.cn/Article/CJFDTOTAL-BFJT202206007.htm
    [8]
    ZHOU H, RICHARD N, XIA J, et al. Analyzing travel mode and airline choice using latent class modelling: a case study in Western Australia[J]. Transportation Research Part A: Policy and Practice, 2020, 137: 187-205. doi: 10.1016/j.tra.2020.04.020
    [9]
    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?viewType=HTML

    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?viewType=HTML
    [10]
    刘志伟, 宋正沄, 邓卫, 等. 无人驾驶汽车对中短距离市际出行方式选择行为的影响[J]. 交通信息与安全, 2022, 40 (2): 91-97. doi: 10.3963/j.jssn.1674-4861.2022.02.011?viewType=HTML

    LIU Z W, SONG Z Y, DENG W, et al. Impacts of autonomous vehicles on mode choice behavior in the context of short-and medium-distance intercity travel[J]. Journal of Transport Information and Safety, 2022, 40(2): 91-97. (in Chinese) doi: 10.3963/j.jssn.1674-4861.2022.02.011?viewType=HTML
    [11]
    姚荣涵, 龙梦, 张文松, 等. 基于潜在类别-Logit模型的共享自动驾驶汽车使用意向[J]. 交通信息与安全, 2022, 40 (2): 135-144. doi: 10.3963/j.jssn.1674-4861.2022.02.016?viewType=HTML

    YAO R H, LONG M, ZHANG W S, et al. User preferences for shared autonomous vehicles based on latent-class Logit models[J]. Journal of Transport Information and Safety, 2022, 40(2): 135-144. (in Chinese) doi: 10.3963/j.jssn.1674-4861.2022.02.016?viewType=HTML
    [12]
    连齐才, 李涵, 石小林, 等. 基于面板数据Mixed Logit模型的自动驾驶选择行为分析[J]. 重庆交通大学学报(自然科学版), 2021, 40(7): 46-52. doi: 10.3969/j.issn.1674-0696.2021.07.07

    LIAN Q C, LI H, SHI X L, et al. Autonomous driving choice behavior based on panel data mixed Logit model[J]. Journal of Chongqing Jiaotong University (Natural Science), 2021, 40(7): 46-52. (in Chinese) doi: 10.3969/j.issn.1674-0696.2021.07.07
    [13]
    周继彪, 郭延永, 吴瑶, 等. 电动自行车事故和车牌使用影响因素分析[J]. 交通运输系统工程与信息, 2017, 17(3): 229-234. https://www.cnki.com.cn/Article/CJFDTOTAL-YSXT201703034.htm

    ZHOU J B, GUO Y Y, WU Y, et al. Assessing factors related to e-bike crash and e-bike license plate use[J]. Journal of Transportation Systems Engineering and Information Technology, 2017, 17(3): 229-234. (in Chinese) https://www.cnki.com.cn/Article/CJFDTOTAL-YSXT201703034.htm
    [14]
    刘宝双, 高波. 机动车驾驶人红灯怠速熄火的意愿研究[J]. 公路交通科技(应用技术版), 2017, 13(11): 269-272.

    LIU B S, GAO B. Research on the willingness of motor vehicle drivers to stop at red light idle[J]. Journal of Highway and Transportation Research and Development (Applied Technology), 2017, 13(11): 269-272. (in Chinese)
    [15]
    PAI C, JOU R, KUO M. An investigation of factors that determine motorcyclists' adoption of an idle-stop system in Taiwan[J]. International Journal of Sustainable Transportation, 2016, 10(3): 216-224. doi: 10.1080/15568318.2014.887163
    [16]
    WU J, LIAO H, WANG J, et al. The role of environmental concern in the public acceptance of autonomous electric vehicles: a survey from China[J]. Transportation Research Part F: Traffic Psychology and Behaviour, 2019, 60: 37-46. doi: 10.1016/j.trf.2018.09.029
    [17]
    XU Z, ZGANG K, MIN H, et al. What drives people to accept automated vehicles? Findings from a field experiment[J]. Transportation Research Part C: Emerging Technologies, 2018, 95: 320-334. doi: 10.1016/j.trc.2018.07.024
    [18]
    王月辉, 王青. 北京居民新能源汽车购买意向影响因素: 基于TAM和TPB整合模型的研究[J]. 中国管理科学, 2013, 21(增刊2): 691-698. https://www.cnki.com.cn/Article/CJFDTOTAL-ZGGK2013S2044.htm

    WANG Y H, WANG Q. Factors affecting beijing residents' buying behavior of new energy vehicle: an integration of technology acceptance model and theory of planned behavior[J]. Chinese Journal of Management Science, 2013, 21 (S2): 691-698. (in Chinese) https://www.cnki.com.cn/Article/CJFDTOTAL-ZGGK2013S2044.htm
    [19]
    李华强, 武晨, 范春梅. 智能交通技术下居民绿色出行影响因素研究: 基于TPB和TAM整合模型的扎根分析[J]. 现代城市研究, 2018(12): 2-8. https://www.cnki.com.cn/Article/CJFDTOTAL-XDCS201812002.htm

    LI H Q, WU C, FAN C M. Factors affecting residents' green travel under intelligent transportation technology: grounded theory analysis based on an integration model of TPB and TAM[J]. Modern Urban Research, 2018(12): 2-8. (in Chinese) https://www.cnki.com.cn/Article/CJFDTOTAL-XDCS201812002.htm
    [20]
    陈月霞, 查奇芬, 景鹏, 等. 考虑年龄异质性的自动驾驶接受度建模与分析[J]. 江苏大学学报(自然科学版), 2021, 42(2): 131-138. https://www.cnki.com.cn/Article/CJFDTOTAL-JSLG202102002.htm

    CHEN Y X, ZHA Q F, JING P, et al. Modeling and analysis of autonomous technology acceptance considering age heterogeneity[J]. Journal of Jiangsu University(Natural Science Edition), 2021, 42(2): 131-138. (in Chinese) https://www.cnki.com.cn/Article/CJFDTOTAL-JSLG202102002.htm
    [21]
    鞠鹏, 周晶, 陈星光, 等. 基于TAM和TPB整合模型的汽车共享使用意向研究[J]. 管理现代化, 2016, 36(4): 82-85. https://www.cnki.com.cn/Article/CJFDTOTAL-GLXX201604022.htm

    JU P, ZHOU J, CHEN X G, et al. Research on car sharing intention based on TAM and TPB integrated model[J]. Modernization of Management, 2016, 36(4): 82-85. (in Chinese) https://www.cnki.com.cn/Article/CJFDTOTAL-GLXX201604022.htm
    [22]
    CHEN C, FAN Y, FARN C. Predicting electronic toll collection service adoption: an integration of the technology acceptance model and the theory of planned behavior[J]. Transportation Research Part C: Emerging Technologies, 2007, 15(5): 300-311. doi: 10.1016/j.trc.2007.04.004
    [23]
    李振龙, 邢冠仰, 李佳, 等. 基于扩展TAM的车路协同系统驾驶人接受度研究[J]. 中国公路学报, 2021, 34(7): 188-200. https://www.cnki.com.cn/Article/CJFDTOTAL-ZGGL202107016.htm

    LI Z L, XING G Y, LI J, et al. Driver's acceptance of cooperative vehicle infrastructure system based on extended TAM[J]. China Journal of Highway and Transport, 2021, 34(7): 188-200. (in Chinese) https://www.cnki.com.cn/Article/CJFDTOTAL-ZGGL202107016.htm
    [24]
    芈凌云, 俞学燕, 杨洁. 知识型消费者新能源汽车购买行为影响因素研究——基于扎根理论的探索[J]. 企业经济, 2018(4): 19-26. https://www.cnki.com.cn/Article/CJFDTOTAL-QUIT201804005.htm

    MI L Y, YU X Y, YANG J. Research on the influencing factors of new energy vehicle purchase behavior of knowledge consumers: exploration based on grounded theory[J]. Enterprise Economy, 2018(4): 19-26. (in Chinese) https://www.cnki.com.cn/Article/CJFDTOTAL-QUIT201804005.htm
    [25]
    薛云建, 董雨, 浦徐进. 知识付费App用户持续使用意愿的模型构建及实证研究[J]. 经济与管理, 2021, 35(4): 17-23. https://www.cnki.com.cn/Article/CJFDTOTAL-JJGL202104003.htm

    XUN Y J, DONG Y, PU X J. Model construction and empirical research on users'intention to continue using knowledge payment App[J]. Economy and Management, 2021, 35 (4): 17-23. (in Chinese) https://www.cnki.com.cn/Article/CJFDTOTAL-JJGL202104003.htm
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