What Causes Curbside Illegal Parking Behavior: A Method Based on Structural Equation Model

Reducing curbside illegal parking is a crucial aspect of urban parking management. However, there is currently a dearth of relevant research. Further analysis is required to determine the factors that influence curbside illegal parking behavior. To this end, a questionnaire survey was conducted in Nanjing, and exploratory factor analysis was used to evaluate the explanatory power of the measurement variables. From this, driver factors, traffic conditions, parking facilities and environment were identified as latent variables. A structural equation model was created to examine the relationship between these variables. The findings indicated that parking facilities and driver factors had a direct and positive correlation with curbside illegal parking behavior, while the environment had a direct and negative correlation with such behavior. Moreover, parking facilities had the greatest impact. The study highlighted the effectiveness of measures such as promoting traffic regulation awareness, optimizing public parking lot charging standards, and strengthening penalties for curbside illegal parking behavior. The results of this research will contribute to a greater comprehension of the phenomenon and provide a theoretical foundation for curbside parking management.