  Bike Sharing Systems (BSSs) have been adopted in many major cities of the
world due to traffic congestion and carbon emissions. Although there have been
approaches to exploiting either bike trailers via crowdsourcing or carrier
vehicles to reposition bikes in the ``right'' stations in the ``right'' time,
they do not jointly consider the usage of both bike trailers and carrier
vehicles. In this paper, we aim to take advantage of both bike trailers and
carrier vehicles to reduce the loss of demand with regard to the crowdsourcing
of bike trailers and the fuel cost of carrier vehicles. In the experiment, we
exhibit that our approach outperforms baselines in several datasets from bike
sharing companies.
