“I want to ride my bicycle”: analysing shared mobility in Italy

There is a gap in the study of mobility. The work done so far is not taking into account the changes the shared-mobility is bringing into our society. This research project aims to leverage shared-mobility data for a better understanding of new patterns in the human-mobility. These new services allow people to use a shared vehicle based on their needs, without the necessity to own one. Shared mobility is going towards users' needs and letting them reach their destination as close as possible. Sharing mobility is improving the data collected and at the same time reshaping the commuting patterns. Understanding travel behaviour is key to creating more resilient, sustainable urban transport networks and reducing carbon emissions. In this research, I start analysing data from Movi which focus on Padova. Movi (ex Mobike) is a free-floating bike sharing system active in Italy and Spain. The data collected by the this service is very detailed and rich. The data sets contain high-level detailed information that is related to service usage. For every trip made it is known: (1) anonymized user id and rental plan, (2) vehicle id, (3) origin (latitude, longitude), (4) destination (latitude, longitude), (5) start date and time (timestamp), (6) end date and time (timestamp), and (7) rounded meters/kilometres travelled. All the information is anonymized. The two research questions this paper is going to address are: (a) What is the profile of the active users? This information can be studied based on the usage data and socio-demographic information the service is collecting. (b) What are the effects of the weather and temperature on the usage of this service? Weather data were retrieved from the local authorities regarding temperature and precipitations.