The objective of the present research is to investigate the distribution of commuters travelling to and from NTUA campus for modal change towards sustainable mobility. Sustainable mobility concerns defusing the road network from cars and enhancing milder forms of transportation, such as public transport and carpooling. The research was conducted online and on-site via a questionnaire filled exclusively by members of NTUA community. The data collected were used by logistic regression method for creating mathematical models that explain the acceptance of carpooling as a means of transport and the possibility car drivers starting to commute by public transport respectively. In the first case, parameters such as travel time, security and flexibility, proved significant, while in the second cost, reliability and comfort. However, the accuracy of these models shows unsatisfactory, given the nature of the used method.
|Tags||field surveys, public transport, statistical modelling, traffic management, urban mobility|