Rapidly Expanding Mobile Apps for Crowd-sourcing Bike Data to New Cities

Rapidly Expanding Mobile Apps for Crowd-sourcing Bike Data to New CitiesThis project takes the first steps towards helping to overcome the barriers to wide scale adoption of bike data crowd sourcing mobile apps by creating a proof of concept multi region architecture, allowing cities to share the same set of mobile apps on the Android and iOS apps stores while setting up their own server specific to their geographic area. This solution can reduce the cost of deployment by leveraging the mobile apps that already exist,

This project takes the first steps towards helping to overcome the barriers to wide-scale adoption of bike data crowd-sourcing mobile apps by creating a proof-of-concept Òmulti-regionÓ architecture, allowing cities to share the same set of mobile apps on the Android and iOS apps stores while setting up their own server specific to their geographic area. This solution can reduce the cost of deployment by leveraging the mobile apps that already exist, rather than each city needing to modify and launch its own version of the apps. Future work should focus on developing a brand identity of these multi-region apps, including a possible partnership with existing organizations that have deployed existing apps (e.g., Georgia Tech for Cycle Atlanta, San Francisco County Transportation Authority for Cycle Tracks) to further test and release the multi-region improvements as updates to their existing applications.