Deborah Salon, @dk2475, and I just published a paper in @Urbansci_MDPI evaluating the effects of ridehailing in the US using the 2017 National Household Travel Survey. It's open access at mdpi.com/2413-8851/2/3/…). (1/16)
If you're interested, you should read the whole thing, but here are some key takeaways (2/16)
Both the mode share and the percentage of Americans using a for-hire vehicle (ridehail or taxi) on any day remain small (0.5% and 1%), but these numbers have doubled over the past decade (3/16) 
10% of Americans use ridehailing in a given month, suggesting that these are marginal modes used occasionally to fill in gaps (4/16)
For-hire vehicles are used most in large metropolitan areas (>3m), but there's been a lot of growth in mid-sized metros (1-3m) (5/16)
Historically, for-hire vehicles were used a lot by both very low and very high income households. Much of the growth in for-hire vehicle use has been among high-income and high-middle income households (6/16)
Ridehailing (specifically, not including taxis) is used much more by high income households. ~17% of individuals from households making >$100k have used ridehailing in the last month. Only ~6% of individuals from households making <$50k have (7/16)
Age is similarly uneven. ~19% of 20-29 year olds have used ridehailing in the last month; ~9% of 40-49 and ~7% of 50-59 year olds have (8/16)
For-hire vehicle users are very multimodal. About three-quarters of home-based tours including a for-hire vehicle also include another mode. Only ~8% of tours including an auto include another mode (9/16)
Households with more vehicles use ridehailing less, but this effect is relatively weak for the highest income households, suggesting they may be using ridehailing for different reasons (10/16)
Transit users, bicyclists, and pedestrians use ridehailing more, but this may not mean that ridehailing will increase transit use—it may divert users from transit on individual trips, or it may allow users to replace private cars with transit+ridehailing (11/16)
Population density is correlated with ridehailing, with people living in high population density areas much more likely to use ridehailing, creating questions about whether the service can be viable in less dense places (12/16)
Future research should look at the price elasticity of ridehailing, as the price could drop if autonomous vehicles become available, or rise if ridehailing companies need to increase profitability (13/16)
Some questions can be answered with data released by ridehailing companies, but many questions require more nuanced info on sociodemographics or travel behavior that can only come from surveys (14/16)
Future surveys should ask more about the cost of travel, wait times and pooling (15/16)
All figures copyright Deborah Salon, David King, and myself, CC-BY. Paper isat mdpi.com/2413-8851/2/3/… (16/16).
