PURPOSES : In this study, the causality between smart parking user services and its satisfaction level was analyzed statistically, and a smart parking priority decision model was established in terms of the user side. METHODS :The results of the Daegu Metropolitan City survey for the parking state, parking fee, transfer, convenience of use, facilities, and safety that could influence smart parking user satisfaction were used. A structural equation model in SPSS 26 and AMOS 26 programs that facilitates hypothesis testing and importance factor analysis between observed and latent variables was used. RESULTS : The results demonstrated that the importance factor loading on smart parking user services was in the following order: convenience of use (0.996), parking facilities (0.814), safety (0.803), parking information (0.706), transfer (0.618), and parking fee (0.426). Among them, the parking fee was not quite influential in decision making. CONCLUSIONS : The most influential user service on smart parking information systems was the convenience of use, in which congestion in parking lots and parking time were the most influential variables. The most influential variables were in the following order: in parking facilities, the route design of vehicle flow and size of the parking garage; in safety, the entrance location and the level of wear; in the parking state, the availability of parking space and parking fees; and finally in transfer, the convenience of transfer to other modes and the number of transfer parking lots.