Abstract

This study proposes a modified decomposed theory of planned behaviour model (DTPB) that integrates satisfaction and trust into the original DTPB model to explore what kind of factors affect the user intention towards distance-based electronic toll collection (ETC) services. The proposed model is empirically tested by using data collected from a questionnaire survey with a computer assisted telephone interview system. Empirical analysis is carried out in three stages that combine confirmatory factor analysis, structural equation modelling (SEM), and Bayesian network: (1) examination of reliability and validity of the measurement model; (2) analysis of structural model; (3) prediction of the probability of user intention change based on rigorous framework of SEM. The results confirm that the satisfaction and trust have positive effects on the behaviour intention, also validating that five constructs have indirect effects on the behaviour intention through attitude and perceived behaviour control. Compatibility is the most important influence factor, followed by perceived usefulness, facilitating conditions, self-efficacy, and perceived ease of use. The findings of this study identify potential improvements for ETC operator, such as contributing to the society to enhance the company image and trust of enterprise with charity activities, and simultaneously upgrading the information platform of website, software, and Apps.

Highlights

  • Electronic toll collection (ETC) is an automated system, eliminating manual operations by toll payers and receivers

  • The modified decomposed theory of planned behaviour model (DTPB) model is constructed with structural equation modelling (SEM) analysis which takes account of statistical methodologies to estimate the causal relationships linking two or more latent variables

  • Having identified the constructs with parent nodes that influence the end node(s) in the Bayesian network proposed by this study, the conditional probability tables are built and the network is analyzed quantitatively based on various scenarios

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Summary

Introduction

Electronic toll collection (ETC) is an automated system, eliminating manual operations by toll payers and receivers. From 2015 to 2020 the global ETC market is expected to steer towards a strong double-digit growth rate [1]. Most of drivers of the upcoming growth comprise the need to save travel time, cashless travel facility, the need to stop to minimize the traffic congestion and fast toll transaction. The ETC market can be categorized into products, technologies, applications and geographies. On the basis of technologies, the ETC market can be divided into various categories, such as radio-frequency identification (RFID), dedicated short-range communications (DSRC), video analytics, global navigation satellite system (GNSS) including global positioning system (GPS), global navigation satellite system (GLONASS), Galileo, Beidou and quasi zenith satellite system (QZSS). RFID and DSRC are the leading technologies worldwide. GNSS is expected to show a high growth rate in the following five years

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