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车路协同系统接受度建模及性别差异分析
引用本文:章锡俏,毛伟,洛玉乐,杜泽华,王刚.车路协同系统接受度建模及性别差异分析[J].中国公路学报,2021,34(7):177-187.
作者姓名:章锡俏  毛伟  洛玉乐  杜泽华  王刚
作者单位:1. 哈尔滨工业大学 交通科学与工程学院, 黑龙江 哈尔滨 150090;2. 东莞市地理信息与规划编制研究中心, 广东 东莞 523129;3. 天津市城市规划设计研究总院有限公司, 天津 300110
基金项目:道路交通安全公安部重点实验室开放课题项目(2019ZDSYSKFKT01)
摘    要:为了研究公众对车路协同系统(CVIS)的接受度以及在性别上的差异,考虑心理因素,基于拓展的技术接受模型建立车路协同系统接受度模型,通过网络问卷调查方法获取车路协同系统接受度影响因素的主观评价数据,使用偏最小二乘法的结构方程模型(PLS-SEM)检验测量模型的内部一致性和可靠性、收敛效度和判别效度以及模型的假设。研究结果表明:该模型对男性接受意向方差具有70.1%的解释力,对女性接受意向方差具有45.0%的解释力,表明模型对男性接受意向的解释力更强;男性与女性之间的接受意向存在很大的差异,女性比男性更加注重车路协同系统的实用性和安全性,而男性比女性更加注重车路协同系统的便利性,也更容易受到社会因素的影响;对于男性和女性来说,行为态度(ATB)对行为意向(BIU)具有正向显著影响,感知易用性(PEU)可以通过感知有用性(PU)和行为态度间接影响行为意向,感知有用性和可靠性对信任度具有正向显著影响;由于受访者对车路协同系统的实用性感知很高,导致对隐私的关注就越少,因而感知隐私风险(PPR)对信任度的影响并不显著;总体来看,构建的模型对于描述车路协同系统接受度具有一定的合理性与有效性,并且可以针对不同性别的人提高其接受度,可对制定精细化、差异化的策略提供支持。

关 键 词:交通工程  接受度  技术接受模型  车路协同系统  性别差异  
收稿时间:2020-07-13

Modeling and Gender Difference Analysis of Acceptance of Cooperative Vehicle Infrastructure System
ZHANG Xi-qiao,MAO Wei,LUO Yu-le,DU Ze-hua,WANG Gang.Modeling and Gender Difference Analysis of Acceptance of Cooperative Vehicle Infrastructure System[J].China Journal of Highway and Transport,2021,34(7):177-187.
Authors:ZHANG Xi-qiao  MAO Wei  LUO Yu-le  DU Ze-hua  WANG Gang
Institution:1. School of Transportation Science and Engineering, Harbin Institute of Technology, Harbin 150090, Heilongjiang, China;2. Dongguan Geographic Information and Planning Research Center, Dongguan 523129, Guangdong, China;3. Tianjin Urban Planning and Design Institute Co. Ltd., Tianjin 300110, China
Abstract:To study people's acceptance of cooperative vehicle infrastructure system (CVIS) and gender differences, considering the psychological factors, an acceptance model was established based on the extended technology acceptance model (TAM). Subjective evaluation data on the factors influencing acceptance were investigated through an online questionnaire survey. The internal consistency and reliability, convergent validity, and discriminate validity of the measurement model and model hypothesis were tested using partial least squares structural equation modeling(PLS-SEM). The results demonstrate that the model exhibits 70.1% explanatory power for the acceptance variance of males and 45.0% explanatory power for females, indicating that the model has stronger explanatory power for the acceptance variance of males. There are considerable differences in acceptance rates between males and females. The results demonstrate that females pay more attention to the practicability and safety of CVIS than males; however, males pay more attention to convenience and are also more likely to be affected by social factors than females. For males and females, attitude toward behavior (ATB) had a positive and significant impact on behavioral intention to use (BIU). Perceived ease of use (PEU) can indirectly affect BIU through perceived usefulness (PU) and ATB; PU and reliability have a positive and significant impact on trust. Because the respondents have a high awareness of the practicability of CVIS resulting in less attention to privacy, perceived privacy risk (PPR) had no significant impact on trust. In general, the model is reasonable and effective for describing the acceptance of CVIS, and can also provide support for different genders to improve their acceptance in formulating refined and differentiated strategies.
Keywords:trafic engineering  acceptance  technology acceptance model  cooperative vehicle infrastructure system  gender difference  
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