A Study on the Factors Causing the Intention to Use a Smart Tolling System

Sung il Hur, Yong Gi Park, J. Jang
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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.
智能收费系统使用意向的影响因素研究
智能收费是2007年通过智能公路研发项目开发和建设的,它改善了现有高速公路系统的缺点。要成功引进和推广智能收费,需要分析影响使用意图的因素。本研究在文献研究和实证研究的基础上进行研究,建立了基于技术接受模型(TAM)和基于价值接受模型的智能收费系统用户意向影响因素分析研究模型。研究模型的主要变量为服务特征(便利性、可靠性)、技术特征(灵活性、稳定性)、环境特征(转换成本、政策有效性)和使用意愿。为了检验本研究设定的假设,使用SPSS 22.0程序统计软件包和AMOSS 18.0进行频率分析、探索性因子分析和验证性因子分析。服务特征所呈现的便利性和可靠性并不影响用户的使用意愿。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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