个人信息Personal Information
教授
博士生导师
硕士生导师
主要任职:Director of International Office Dean of School of Transportation and Logistics
其他任职:交通运输学院名誉院长
性别:男
毕业院校:日本东京大学
学位:博士
所在单位:交通运输系
学科:交通运输规划与管理. 交通系统工程. 市政工程. 行政管理
联系方式:0411-84708224
电子邮箱:szhao@dlut.edu.cn
MODELLING TRAVELLERS' ROUTE SWITCHING BEHAVIOUR IN RESPONSE TO VARIABLE MESSAGE SIGNS USING THE TECHNOLOGY ACCEPTANCE MODEL
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论文类型:期刊论文
发表时间:2021-03-05
发表刊物:TRANSPORT
卷号:35
期号:5
页面范围:533-547
ISSN号:1648-4142
关键字:travel behaviour; route choice model; traffic information; variable message signs; hybrid choice model; technology acceptance model; attitudes; perceptions
摘要:Recent studies adopted models of user acceptance of information technology to predict and explain drivers' acceptance of traffic information. Among these frameworks, the most commonly used is the Technology Acceptance Model (TAM). However, TAM is too general and does not consider drivers' response in specific traffic conditions or choice scenarios. This study combines an extended TAM with different choice scenarios displayed by Variable Message Signs (VMS) into a Hybrid Choice Model (HCM). Two models are proposed. The first model takes into account the causal relationships among latent variables based on the following hypotheses: Information Quality (IQ) has a positive effect on Perceived Usefulness (PU) and Perceived Ease of Use (PEOU) which, in turn, have a positive effect on the Behavioural Intention (BI) to use traffic information. In the second model, the four latent variables PU, PEOU, IQ, and BI are directly added to the utility function without any causal relationships. 339 drivers with valid licence were interviewed via Stated Preference (SP) survey and the results show that TAM can explain travellers' response to VMS if the causal relationships among latent variables are taken into account. In addition, all hypothesized relationships are strongly supported. Practical and academic implications are also discussed.