Mobility patterns and the potential of innovative mobility services for a university community

In recent years the contemporary landscape of mobility is witnessing significant transformations, in terms of advanced technologies and innovative services. In particular, Mobility as a Service emerged as a novel concept, aiming at providing an integrated and personalized mobility experience that seamlessly combines different transport modes into a unique service. This study seeks to investigate the potential of such innovative services, examining mobility patterns and discerning opinions within a university community. The objectives include: analyzing main origin-destination clusters and identifying primary transportation services adopted, through a survey administered to infer Revealed Preferences; assessing the feasibility of deploying a network of sensors based on MaaS-related data through spatial analysis of survey responses. The case study is the Polytechnic University of Bari in Italy, located in a city where several MaaS-related projects are underway. Findings indicate a robust sample, facilitating accurate geolocalization and providing insights into predominant origin-destination pairs and transportation preferences; this paves the way for identifying distinct mobility clusters and developing a customized MaaS framework accordingly. Furthermore, it expects to demonstrate the feasibility of utilizing MaaS-related data for establishing a network of mobile sensors, offering valuable insights for future transportation planning and management initiatives within the territory.