Matching and Pricing in Ride Hailing: Wild Goose Chases and How to Solve Them
References
- (2019) Competition in ride-hailing markets. Working paper, Stanford University, Stanford, CA.Google Scholar
- (2021) The value of excess supply in spatial matching markets. Working paper, Stanford University, Stanford, CA.Google Scholar
- (2021) Uber versus taxi: A driver’s eye view. Amer. Econom. J. Appl. Econom. 13(3):272–308.Crossref, Google Scholar
- (1996) Taxi travel should be subsidized. J. Urban Econom. 40(3):316–333.Crossref, Google Scholar
- (2024) Private vs. pooled transportation: Customer preference and design of green transport policy. Manufacturing Service Oper. Management 26(2):594–611.Link, Google Scholar
- (2019) Online vehicle routing: The edge of optimization in large-scale applications. Oper. Res. 67(1):143–162.Link, Google Scholar
- (2021a) Spatial capacity planning. Oper. Res. 67(3):1350–1367.Google Scholar
- (2021b) Surge pricing and its spatial supply response. Management Sci. 67(3):1350–1367.Link, Google Scholar
- (2019) Spatial pricing in ride-sharing networks. Oper. Res. 67(3):744–769.Link, Google Scholar
- (2016) Matchmaking in Lyft line—Part 3. Accessed August 6, 2024, https://eng.lyft.com/matchmaking-in-lyft-line-part-3-d8f9497c0e51.Google Scholar
- (2021) Spatial equilibrium, search frictions, and dynamic efficiency in the taxi industry. Rev. Econom. Stud. 89(2):556–591.Crossref, Google Scholar
- (2022) The value of time: Evidence from auctioned cab rides. Working paper, Princeton University, Princeton, NJ.Google Scholar
- (2017) The role of surge pricing on a service platform with self-scheduling capacity. Manufacturing Service Oper. Management 19(3):368–384.Link, Google Scholar
- (2023) Who benefits from surge pricing? Working paper, University of Pennsylvania, Philadelphia.Google Scholar
- (2023) Using big data to estimate consumer surplus: The case of Uber. Working paper, University of Chicago, Chicago.Google Scholar
- (2016) Disruptive change in the taxi business: The case of Uber. Amer. Econom. Rev. 106(5):177–182.Crossref, Google Scholar
- (2021) We are on the way: Analysis of on-demand ride-hailing systems. Manufacturing Service Oper. Management 23(5):1237–1256.Link, Google Scholar
- (2019) Frictions in a competitive, regulated market: Evidence from taxis. Amer. Econom. Rev. 109(8):2954–2992.Crossref, Google Scholar
- (2021) Pricing fast and slow: Limitations of dynamic pricing mechanisms in ride-hailing. Working paper, MIT, Cambridge, MA.Google Scholar
- (2022) Driver surge pricing. Management Sci. 68(5):3219–3235.Link, Google Scholar
- (2017) Ride-hailing drivers are slaves to the surge.Google Scholar
- (2021) Customer preference and station network in the London bike-share system. Management Sci. 67(3):1392–1412.Link, Google Scholar
- (2021) Dynamic spatial matching. Working paper, Columbia University, New York.Google Scholar
- (2003) An analysis of the market for taxicab rides in New York City. Internat. Econom. Rev. 44(2):423–434.Crossref, Google Scholar
- (2022) Spatio-temporal pricing for ridesharing platforms. Oper. Res. 70(2):1025–1041.Link, Google Scholar
- (2020) Dynamic matching for real-time ride sharing. Stochastic Systems 10(1):29–70.Link, Google Scholar
- Rosaia N (2024) Competing platforms and transport equilibrium: Evidence from New York City. Working paper, Columbia University, New York.Google Scholar
- (1961) The theory and measurement of private and social cost of highway congestion. Econometrica 29(4):676–699.Crossref, Google Scholar
- (2020) Dynamic pricing and matching in ride-hailing platforms. Naval Res. Logist. 67(8):705–724.Crossref, Google Scholar

