Data

• average income of uber users
  • where does this come from? perhaps location of pickup = census income
• commute time
  • where does this come from?
• jobs in particular areas - census
• income / housing of individuals - census
• location of uber users - geolocation in phone and app usage
• number residents in a city - census
• number of transit riders - bus records and nyc databases?
• number of taxi riders - taxi records and nyc databases?
• value of businesses - stock exchange and ??
• income data for particular areas - census
• transit data for locations - bus stops, distance to nearest stop, how often pickups occur etc
• uber has general data on where people need pickups

Analyses, models, correlations

• correlate uber use and taxi use (as one goes up the other goes up)
• correlate taxi/uber use with transit use (negative correlation)
• correlate income with taxi/uber use
• correlation between income and commute time (negative)
• correlation between commute time and social mobility
• correlation between time of day and time between trains
• correlate taxi/uber use and transit availability

Ethics

• commute time - social mobility; commute time - transit is located; transit is located - twitter complaints, frequency of use
• should uber (or the gov’t or google) know where you are and where you’re going
  • it’s part of their business