Public Preferences Towards Car Sharing Service: The Case of Djibouti

Transportation demand management is a successful complement to urban infrastructure. The emergence of shared mobility strategies such as car sharing offers sustainable in areas. Car has launched different cities worldwide mitigate severe transportation problems traffic congestion, air pollution, and safety. Therefore, this study aims investigate the intentions preferences travelers toward services Djibouti, Africa. data was collected through an online stated preference (SP) survey. SP survey included awareness services, attributes related transport modes, demographic characteristics. A total 600 respondents were received. In study, we employed multinomial logit (MNL) model travel mode choice modeling compared results with AdaBoost algorithm. MNL showed that generic time, cost, maintenance charges, membership fees found significant. addition, several characteristics like gender, education, income also prediction performances algorithm using multi-class predictive errors. According goodness-of-fit results, achieved overall higher accuracy than model. This could be helpful planners policymakers for implementation car-sharing