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This week, we’re joined by UC Berkeley PhD candidate Matthew Tarduno, who talks to us about his paper comparing congestion and economic impacts of ride hailing companies Uber and Lyft before and after the cessation of service in Austin, Texas. We talk about potentially beneficial congestion policies and how the paper might apply to some cities and not others.
For those of you who prefer to use your eyes rather than your ears, there’s a partial transcript below the audio player (a full transcript is here):
Here’s the partial transcript:
Jeff Wood: So you wrote a paper entitled “The Congestion Costs of Lyft and Uber” in the Journal of Urban Economics. I’m curious what the impetus was. I mean, you kind of explained a little bit, but what the impetus was for thinking specifically as it pertains to ride hailing.