Abstract

This study proposes a behavioural intention model that integrates information quality, response time, and system accessibility into the original technology acceptance model (TAM) to investigate whether system characteristics affect the adoption of Web-based advanced traveller information systems (ATIS). This study empirically tests the proposed model using data collected from an online survey of Web-based advanced traveller information system users. Con­firmatory factor analysis (CFA) was performed to examine the reliability and validity of the measurement model, and structural equation modelling (SEM) was used to evaluate the structural model. The results indicate that three system characteristics had indirect effects on the intention to use through perceived usefulness, perceived ease of use, and attitude toward using. Information quality was the most im­portant system characteristic factor, followed by response time and system accessibility. This study presents implica­tions for practitioners and researchers, and suggests direc­tions for future research.

Highlights

  • In the field of intelligent transportation systems (ITS), advanced traveller information systems (ATIS)are a systematic application that applies information and communication technologies (ICTs) to collect travel-related data, as well as processes and delivers valuable information to travellers

  • This study proposes a behavioural intention model that integrates information quality, response time, and system accessibility into the original technology acceptance model (TAM) to investigate whether system characteristics affect the adoption of Web-based advanced traveller information systems (ATIS)

  • This study confirms the results of previous TAM studies in different contexts, and shows the applicability of TAM in explaining the acceptance of Web-based ATIS

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Summary

Introduction

In the field of intelligent transportation systems (ITS), advanced traveller information systems (ATIS)are a systematic application that applies information and communication technologies (ICTs) to collect travel-related data, as well as processes and delivers valuable information to travellers. World Wide Web (WWW) is a logically integrated system, even though different components (viz., clients, servers, and database) of Internet are physically located at different locations This capability offers the provision of combining heterogeneous traveller information from different information sources (e.g., Variable Message Signs or Radio broadcasting) so as to deliver traffic information through an integrated and consistent interface to travellers [1]. This type of Web service has the ability to deliver various kinds of static and dynamic traveller information to travellers in multimedia form (e.g., maps and CCTV images) Such information can help travellers make better travel decisions (e.g., change travel route, departure time, and travel plan), and provide direct benefits to travellers (e.g., less travel time, greater reliability of travel time) and higher indirect benefits to the transportation system (e.g., less congestion) or the environment (e.g., less air pollution) [2]. In order to promote this service, it is necessary to better understand what factors affect travellers’ adopting a Web-based ATIS

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