Along the rapid urbanization, we encounter many challenges such as environment degradation, traffic congestion, etc. Developing a greener and sustainable transportation system is critical for future urban development, among which sharing-transportation can be an important part. Recently, bike-sharing systems have become quite popular, yet there are many challenges on maintaining it efficient and controlling the cost, which strongly depends on better understanding of riders’ behaviors and their relationship with the transport media (bikes). By treating each bike as an individual, we find that the distributions of average travel distance, radius of gyration, travel frequency are all quite different between riders and bikes. We also observe a much faster convergence of human travels to a characteristic distance, while for bikes such tendency is weaker. These phenomena are strongly influenced by the riding dynamics, such as newly explored unique locations, most visited locations and the probability of the longest travel. All these findings can be valuable to design a more efficient bike-sharing system and its sustainable operation.

CICTP