Generalized gravity model to jointly forecast passenger and mobility fleet trips under privacy preservation

We generalized Wilson’s classic gravity model to a multilayer one that jointly distributes passenger ODs as well as mobility service vehicle ODs. This was tested on Chicago Uber data and shown to distinguish between shared and solo rides. The work is meant for planning agencies working with limited, privacy-protected data from fleet-based mobility companies.

The work was funded by C2SMART (USDOT #69A3551747124) and NSF CMMI-1652735. Link to paper here.