Study on the Response of Drivers to VMS Based on Structural Equation Model
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    Abstract:

    This work studies the driver response to variable message signs (VMS) based on the structural equation model. First, this study analyzes drivers’ travel habits and the reliability of VMSs. Then, the technology acceptance model is introduced to test the measurement model with two evaluation indexes of reliability and validity. 347 questionnaires are collected to form the dataset for the hypothetical testing of the proposed model. The results show that information reliability has a significantly positive impact on perceived usefulness and perceived ease of use, and the impact on the latter is greater than that on the former, while travel habits have no significant impact on perceived usefulness. Perceived usefulness and perceived ease of use have a significant positive impact on drivers’ behavior intention. This study can provide a theoretical basis and technical support for the traffic management department to scientifically release VMS information.

    Reference
    [1] 刘伟, 杜建玮, 陈科全. 基于视知觉的交通可变标志信息认度评价. 中国公路学报, 2020, 33(1): 163–171. [doi: 10.3969/j.issn.1001-7372.2020.01.017
    [2] Gan H, Ye X. Urban freeway users' diversion response to variable message sign displaying the travel time of both freeway and local street. IET Intelligent Transport Systems, 2012, 6(1): 78–86. [doi: 10.1049/iet-its.2011.0070
    [3] Li XG, Cao YK, Zhao XM, et al. Drivers’ diversion from expressway under real traffic condition information shown on variable message signs. KSCE Journal of Civil Engineering, 2015, 19(7): 2262–2270.
    [4] Kattan L, Habib KMN, Nadeem S, et al. Modeling travelers' responses to incident information provided by variable message signs in Calgary, Canada. Transportation Research Record, 2010, 2185(1): 71–80. [doi: 10.3141/2185-10
    [5] Chatterjee K, Hounsell NB, Firmin PE, et al. Driver response to variable message sign information in London. Transportation Research Part C: Emerging Technologies, 2002, 10(2): 149–169. [doi: 10.1016/S0968-090X(1)00008-0
    [6] 徐天东, 孙立军, 郝媛, 等. 不同交通信息下网络交通动态路径选择行为. 同济大学学报(自然科学版), 2009, 37(8): 1029–1033.
    [7] Davis FD. Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS Quarterly, 1989, 13(3): 319–340.
    [8] Lin TW, Lin CY, Hsu WH. Effects of system characteristics on adopting web-based advanced traveller information system: Evidence from Taiwan. Promet-Traffic & Transportation, 2014, 26(1): 53–63.
    [9] 魏雪梅, 戢晓峰, 陈方. 基于SEM的驾驶员出行信息搜寻行为分析. 交通运输系统工程与信息, 2012, 12(3): 174–179. [doi: 10.16097/j.cnki.1009-6744.2012.03.028
    [10] 莫一魁, 苏永云, 沈旅欧. 基于结构方程的小汽车驾驶员信息偏好分析. 系统工程, 2009, 27(8): 85–89
    [11] Prato CG, Bekhor S, Pronello C. Latent variables and route choice behavior. Transportation, 2012, 39(2): 299–319. [doi: 10.1007/s11116-011-9344-y
    [12] Chen CF, Chen PC. Applying the TAM to travelers’ usage intentions of GPS devices. Expert Systems with Applications, 2011, 38(5): 6217–6221. [doi: 10.1016/j.eswa.2010.11.047
    [13] Ayeh JK, Au N, Law R. Predicting the intention to use consumer-generated media for travel planning. Tourism Management, 2013, 35: 132–143.
    [14] 吴明隆. 结构方程模型: AMOS的操作与应用. 重庆大学出版社, 2009.
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杨明诚,干宏程,曹文超,高吉.基于结构方程模型的驾驶员对VMS响应研究.计算机系统应用,2022,31(4):341-345

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History
  • Received:June 24,2021
  • Revised:July 20,2021
  • Online: March 22,2022
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