Modeling the effect of social media on older adults’ usage intention of public transport

Speeding in residential areas is a rampant high-risk driving behavior that occurs worldwide. This study investigated the intention and behavior of speeding in residential streets (with a speed limit of 30 km/h) in Iran based on the Theory of extended Planned Behavior (TPB). A total of 480 participants filled out the TPB-based questionnaire online. Nine different factors were identified by exploratory factor analysis. The interrelationship of these factors, as well as their connection with speeding intention and behavior, was analyzed using the Structural Equation Modeling (SEM) method. The results suggested that the adoption of the extended TPB framework to identify factors related to speeding in residential areas was effective in predicting speeding intention and behavior. Affective attitude, descriptive and personal norms, perceived behavioral control, habits, and specification of residential streets were direct predictors of speeding intention. The intention was also strongly associated with speeding behavior in residential areas, serving as the only factor that directly predicts speeding behavior. The two factors of specification and facilities were also significantly related to speeding behavior on residential streets. The results of this study can have positive implications for preventing and reducing crashes on residential streets.

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Modeling the effect of social media on older adults’ usage intention of public transport

Cited by 3 publications

References 56 publications

Estimation of the aggregation degree of public transport use among elderly people based on urban built environment

Estimation of the aggregation degree of public transport use among elderly people based on urban built environment

Circulation of Fake News: Threat Analysis Model to Assess the Impact on Society and Public Safety

Drivers’ Speeding Behavior in Residential Streets: A Structural Equation Modeling Approach

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