Abstract
In this paper, the spatial-temporal characteristics of green travel behavior in public bike-sharing system are studied. From the vector perspective, a coarse graining method of green travel direction is proposed, the methods and steps of analyzing the spatial characteristics and temporal window of green travel behavior are established, which opens up new horizons in the study of green travel behavior, develop the existing coarse granulation methods and temporal network theory, and provides a new way of route optimization and high-frequency task window recognition for the dynamic rebalancing scheme. At the same time, we conduct an empirical analysis by the travel data of the public bike-sharing system in Nanjing from March 20, 2017 to March 26, 2017, and verify the dynamic spatial characteristics and time-varying of green travel behavior based on vector perspective.
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