The use of this data and the visualization map has allowed me to begin forming deeper questions about the city as a whole: 

Are fewer people using the shared bike system because they have decided to purchase a personal bike?

Will the introduction of the connect-card as a means to check out a bike help boost usage level again?

It will be interesting to continue monitoring the trend to see where and why people are using the bike share system.

Additionally, Healthy Ride can begin using the data to determine which stations potentially have more group activity and thus relies more on the availability of multiple bikes at a time. It could be useful to help determine the need for the growth of docking racks and be the start to mapping the individual station peaks and lows throughout particular days of the week. This could help to reduce issues of lack of availability of bikes and overall begin ensuring that bikes are more accessible to users. 

Furthermore, the information found showed that majority of the shared trips were actually to areas with bars and restaurants- this helped me shape my proposal for the revamping of the rental stands to include a peer to peer destination list that could improve the depth of data being collected on the bikes now.