Examining the Impact of Ridehailing Services on Public...

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Examining the Impact of Ridehailing Services on Public Transit Use Yash Babar Gordon Burtch

Transcript of Examining the Impact of Ridehailing Services on Public...

Page 1: Examining the Impact of Ridehailing Services on Public ...sharingeconomy.umn.edu/events/workshop/2017/... · Yash Babar Gordon Burtch. Are ridehailing and transit complements or substitutes?

Examining the Impact of Ridehailing Services on Public Transit UseYash BabarGordon Burtch

Page 2: Examining the Impact of Ridehailing Services on Public ...sharingeconomy.umn.edu/events/workshop/2017/... · Yash Babar Gordon Burtch. Are ridehailing and transit complements or substitutes?

Are ridehailing and transit complements or substitutes?

Page 3: Examining the Impact of Ridehailing Services on Public ...sharingeconomy.umn.edu/events/workshop/2017/... · Yash Babar Gordon Burtch. Are ridehailing and transit complements or substitutes?

Existing Research

● Trudel, Michel. 1999. “The Taxi as a Transit Mode.” Transportation Quarterly 53(4).○ Taxis don’t compete with Transit.○ Cramer, Judd, and Alan B Krueger. 2016. “Disruptive Change in the Taxi Business: The Case of

Uber.” The American Economic Review 106(5): 177–82.● Rayle, Lisa et al. 2013. “App-Based, On-Demand Ride Services: Comparing Taxi and

Ridesourcing Trips and User Characteristics in San Francisco.” 53(9): 1689–99.○ Substitutable trips

● Murphy, Colin. 2016. Shared Mobility and the Transformation of Public Transit○ Different intents of travel○ Last Mile argument: Possible complementarity – extending current transit.

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What do we expect to happen?

● Substitute over the road short haul transit.

● Augment long haul transit and independent ROW.

?

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Empirical examination

● Transit Data: NTD per city per agency per mode per month.

● Ridehailing: Spatio temporal variation in ridehailing entry across US cities○ Diff-In-Diff analysis○ Controls: LaborForce, GasPrice,

Unemployment● Compare the change in utilization

(demand per unit supply) within and between city per mode.

● Find good controls for ridehailing treated cities by matching them to others on past utilization.○ CEM, Kmeans, Parallel Trends

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Example of Matching: Parallel trends in bus service utilization.

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log(Ut) = .X + .RH + FEs (city + time*strata)

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Monthly Estimates

● Bus(-1.05%)● CR(+7.24%)● HR(+2.6%)● LightRail

Results

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Secondary Analysis● Moderation of impact by transit

quality (AllTransit)○ Substitutes low (<75th %tile)

quality service○ Complements higher quality service

● Augmented impact with Google Maps updates (-4.9%)

● Similar results irrespective of provider (Lyft & Uber)

● Robust to random shuffling of ridehailing treatment

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Discussion

● Projected losses and gains by city and mode.○ Conditional on sustained

supply despite changing demand

○ Costs = Fare loss/gains + Additional cost per consumer with reduced ridership.

● Limitations○ Binary indicator of RH

presence.○ No direct evidence of the

mechanism of interaction.■ Need transactional

data.

Babar, Yash and Burtch, Gordon, Examining the Impact of Ridehailing Services on Public Transit Use

(September 25, 2017). Available at SSRN: https://ssrn.com/abstract=3042805