Smart City Gnosys
Smart city article details
| Title | Factors Influencing Travelers And Motorists Acceptance Of Intelligent Transportation Applications: A Sem-Ann Approach |
|---|---|
| ID_Doc | 26056 |
| Authors | Duga P.A.; Loja J.B.; Buna L.V.J.L.; Matias J.B.; Raz M.R.O.; Hernandez A.A.; Plender-Nabas J.L. |
| Year | 2024 |
| Published | ICBIR 2024 - 2024 9th International Conference on Business and Industrial Research, Proceedings |
| DOI | http://dx.doi.org/10.1109/ICBIR61386.2024.10875741 |
| Abstract | Traffic congestion is one of the biggest obstacles in the development and transformation of emerging nations. Numerous countries have implemented national smart-city programs to enhance their operations, quality of life, and competitiveness. However, there is a dearth of studies examining user behavior in relation to smart transportation services. This has sparked the need for more studies on user behavior when using intelligent transportation applications. Consequently, the goal of this study is to determine the factors crucial to the acceptance of intelligent transportation applications, thereby enabling us to understand how users will react to future traffic management technologies. The Technology Acceptance Model (TAM) was adopted to formulate the hypotheses of the current study. With 500 respondents, the partial least squares structural equation model (PLS-SEM) approach was used to assess both the measurement and structural models and was further verified using an artificial neural network (ANN). The findings suggest that trust and perceived usefulness are the most influential factors affecting users' intentions to adopt intelligent transportation applications. © 2024 IEEE. |
| Author Keywords | Artificial Neural Network (ANN); Intelligent Transportation Applications; Partial Least Square Structural Equation Modelling (PLS-SEM); Smart City; Technology Acceptance Model (TAM) |
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