In this blog, we use data visualization and data analytics to provide some basic understandings of the origin-destination (O-D) flows between stations in a bike-sharing system. Part of this blog is adapted from the following research paper: X. Xie and Z.
In urban mobility, travel or trip speed is important. For each bicycle trip, its bikeshare use time provides an upper bound of travel time. Particularly, for the utilitarian O-D trips, the bikeshare use time approaches the travel time if there
Operations are important for maintaining daily functions of a bikeshare system (BSS). Here, we analyze and try to measure the efficiency of operating activities of bikeshare through data analytics. We take the valet and corral service as an example of