Abstract
Smart tolling, which improved the drawbacks of the existing high-pass system, was developed and built through the Smart Highway R & D project in 2007. To successfully introduce and spread Smart Tolling, it needs to analyze factors that affected by intent to use. This study conducted research based on literature studies and empirical studies and developed a research model to analyze factors causing the users' intention of smart tolling system based on technology acceptance model (TAM) and value-based acceptance model. The main variables of the research model are service characteristics (convenience, reliability), technical characteristics (flexibility, stability), environmental characteristics (switching cost, effectiveness of policy), and intention to use. To test the hypotheses set in this study, frequency analysis, exploratory factor analysis, and confirmatory factor analysis were performed using the SPSS 22.0 program statistical package and AMOSS 18.0. The convenience and reliability presented by service characteristics did not affect the intention to use.
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