Recommending Car/Passenger Resources for User According to Mobility Habits

A computer implemented method for recommending car/passenger resources for a user includes extracting a trip including a start and a destination from location data of the user, wherein paths with the same start and the same destination are clustered into one trip, and generating time information corresponding to the trip, according to time data corresponding to the paths clustered into the trip, wherein the time information includes a range of departure time. The method includes calculating a frequency of occurrences for one trip within a predetermined time period as a habit value of the trip for the user. The trip, including the start and the destination, the time information corresponding to the trip, the habit value of the trip, and transport modality information indicating the user as a driver or a passenger, are combined to generate mobility habit data for the user.