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Building a multivariate statistical model is the aim of this research for identifying the aspects that impact carpooling and acquisition in a residential area. Based on the stated attitudes and perceived risk of the users, a structured questionnaire is created with 152 feedbacks in total are gathered from residents of Mirpur DOHS. The research hypotheses are validated by means of structural equation modeling (SEM). The best SEM is chosen using statistical criteria and multiple trials. To validate the selected SEM, the feedbacks are further examined using the Relative Importance Index (RII) approach. The study shows that the “Safety & Security” latent variable has more influence on the acceptance of the carpooling system among the two latent variables. Among the six observed variables underneath the “safety & Security” latent variable, ‘Sharing Personal Information (y7)’ has the most significance. The service providers and policymakers will be able to execute the carpooling system in the Mirpur DOHS area with the aid of the identification of the significant factors in this.
Shakil Mahmood (Fri,) studied this question.