Driver Surge Pricing

References

• Afèche P, Liu Z, Maglaras C (2018) Ride-hailingnetworks with strategic drivers: The impact of platform control capabilities on performance. Preprint, submitted March 26, https://papers.ssrn.com/sol3/papers.cfm?abstract_id=3120544.Google Scholar
• Asadpour A, Freund D, van Ryzin GJ (2019) Escrow payments: A smoother driver pay mechanism. Accessed October 20, 2019, https://www.abstractsonline.com/pp8/#!/6818/presentation/7365.Google Scholar
• Ashlagi I, Burq M, Jaillet P, Saberi A (2018) Maximizing efficiency in dynamic matching markets. Preprint, submitted March 4, https://arxiv.org/abs/1803.01285.Google Scholar
• Ata B, Barjesteh N, Kumar S (2019) Spatial pricing: An empirical analysis of taxi rides in New York City. Working paper, Booth School of Business, University of Chicago, Chicago.Google Scholar
• Auerbach S (2019) Paying rideshare drivers for pickups. https://simons.berkeley.edu/talks/tbd-78.Google Scholar
• Bai J, So KC, Tang CS, Chen XM, Wang H (2018) Coordinating supply and demand on an on-demand service platform with impatient customers. Manufacturing Service Oper. Management 21(3):556–570.Link, Google Scholar
• Banerjee S, Freund D, Lykouris T (2017a) Pricing and optimization in shared vehicle systems: An approximation framework. Daskalakis C, Babaioff M, Moulin H, eds. Proc. 2017 ACM Conf. on Econom. and Comput. (Association for Computing Machinery, New York), 517. Google Scholar
• Banerjee S, Kanoria Y, Qian P (2018) State dependent control of closed queueing networks with application to ride-hailing Preprint, submitted March 13, https://arxiv.org/abs/1803.04959.Google Scholar
• Banerjee S, Riquelme C, Johari R (2015) Pricing in ride-share platforms: A queueing-theoretic approach. Preprint, submitted February 24, https://dx.doi.org/10.2139/ssrn.2568258.Google Scholar
• Banerjee S, Gollapudi S, Kollias K, Munagala K (2017b) Segmenting two-sided markets. Barrett R, Cummings R, Agichtein E, Gabrilovich E, eds. Proc. 26th Internat. Conf. on World Wide Web (International World Wide Web Conferences Steering Committee, Republic and Canton of Geneva, Switzerland), 63–72.Google Scholar
• Bertsimas DJ, van Ryzin G (1991) A stochastic and dynamic vehicle routing problem in the Euclidean plane. Oper. Res. 39(4):601–615.Link, Google Scholar
• Bertsimas DJ, van Ryzin G (1993) Stochastic and dynamic vehicle routing in the Euclidean plane with multiple capacitated vehicles. Oper. Res. 41(1):60–76.Link, Google Scholar
• Besbes O, Castro F, Lobel I (2018) Spatial capacity planning. Preprint, submitted December 13, 2018. Last updated February 19, 2019, https://dx.doi.org/10.2139/ssrn.3292651.Google Scholar
• Besbes O, Francisco C, Ilan L (2021) Surge pricing and its spatial supply response. Management Sci. 67(3):1350–1367.Google Scholar
• Bikhchandani S (2020) Intermediated surge pricing. J. Econom. Management Strategy 29(1):31–50.Crossref, Google Scholar
• Bimpikis K, Candogan O, Saban D (2019) Spatial pricing in ride-sharing networks. Oper. Res. 67(3):744–769.Google Scholar
• Buchholz N (2017) Spatial equilibrium, search frictions and efficient regulation in the taxi industry. Working paper, Princeton University, Princeton, NJ. https://scholar.princeton.edu/sites/default/files/nbuchholz/files/taxi_draft.pdf.Google Scholar
• Cachon GP, Daniels KM, Lobel R (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
• Castillo JC, Knoepfle D, Weyl G (2017) Surge pricing solves the wild goose chase. Daskalakis C, Babaioff M, Moulin H, eds. Proc. 2017 ACM Conf. Econom. Comput. (Association for Computing Machinery, New York), 241–242.Google Scholar
• Chen Y, Hu M (2020) Pricing and matching with forward-looking buyers and sellers. Manufacturing Service Oper. Management 22(4):717–734.Google Scholar
• Chen MK, Sheldon M (2016) Dynamic pricing in a labor market: Surge pricing and flexible work on the Uber platform. Conitzer V, Bergemann D, Chen Y, eds. EC '16: Proc. 2016 ACM Conf. Econom. Comput. (Association for Computing Machinery, New York), 455.Google Scholar
• Cook C, Diamond R, Hall J, List J, Oyer P (2018) The gender earnings gap in the gig economy: evidence from over a million rideshare drivers. NBER Working Paper 24732, National Bureau of Economic Research, Cambridge, MA.Google Scholar
• Cramer J, Krueger AB (2016) Disruptive change in the taxi business: The case of Uber. Amer. Econom. Rev. 106(5):177–182.Crossref, Google Scholar
• Feng G, Kong G, Wang Z (2020) We are on the way: Analysis of on-demand ride-hailing systems. Manufacturing Service Oper. Management. ePub ahead of print June 3, https://doi.org/10.1287/msom.2020.0880.Google Scholar
• Glazer A, Hassin R (1983) The economics of cheating in the taxi market. Transportation Res. Part A: General 17(1):25–31.Crossref, Google Scholar
• Guda H, Subramanian U (2019) Your Uber is arriving: Managing on-demand workers through surge pricing, forecast communication, and worker incentives. Management Sci. 65(5):1995–2014.Abstract, Google Scholar
• Hall JV, Horton JJ, Knoepfle DT (2017) Labor market equilibration: Evidence from Uber. Working paper, NYU Stern, NYC, NY.Google Scholar
• Hall JV, Kendrick C, Nosko C (2015) The effects of Uber’s surge pricing: A case study. Working paper, Uber Technologies, San Francisco, CA. https://eng.uber.com/research/the-effects-of-ubers-surge-pricing-a-case-study/.Google Scholar
• Hu M, Zhou Y (2018) Dynamic type matching. Working paper.Google Scholar
• Kamble V (2019) Revenue management on an on-demand service platform. Oper. Res. Lett. 47(5):377–385.Crossref, Google Scholar
• Kanoria Y, Qian P (2019) Near optimal control of a ride-hailing platform via mirror backpressure. Preprint, submitted March 7, https://arxiv.org/abs/1903.02764.Google Scholar
• Komanduri A, Wafa Z, Proussaloglou K, Jacobs S (2018) Assessing the impact of app-based ride share systems in an urban context: Findings from austin. Transportation Res. Record 2672(7):34–46.Crossref, Google Scholar
• Lei Y, Jasin S (2020) Real-time dynamic pricing for revenue management with reusable resources, advance reservation, and deterministic service time requirements. Oper. Res. 68(3):676–685.Google Scholar
• Lu A, Frazier PI, Kislev O (2018) Surge pricing moves Uber’s driver-partners. Tardos E, Elkind E, Vohra R, eds. Proc. 2018 ACM Conf. Econom. Comput. (Association for Computing Machinery, New York).Google Scholar
• Ma H, Fang F, Parkes DC (2018) Spatio-temporal pricing for ridesharing platforms. ACM SIGecom Exchanges 18(2):53–57.Google Scholar
• Ong HY, Freund D, Crapis D (2021) Driver positioning and incentive budgeting with an escrow mechanism for ridesharing platforms. https://arxiv.org/abs/2104.14740.Google Scholar
• Özkan E (2020) Joint pricing and matching in ride-sharing systems. Eur. J. Oper. Res. 287(3):1149–1160.Google Scholar
• Özkan E, Ward A (2016) Dynamic matching for real-time ridesharing. Preprint, submitted September 28, https://dx.doi.org/10.2139/ssrn. 2844451.Google Scholar
• RideAustin (2017) Data set. Accessed July 1, 2020, https://data.world/ride-austin.Google Scholar
• RideAustin (2019) Driver rates. Accessed September 16, 2019, http://www.rideaustin.com/drivers/rates.Google Scholar
• Uber (2019a) Community guidelines. Accessed May 15, 2019, https://www.uber.com/legal/community-guidelines/us-en/.Google Scholar
• Uber (2019b) Dependable earnings. Accessed May 15, 2019, https://www.uber.com/drive/resources/dependable-earnings/.Google Scholar
• Uber (2019c) How are fares calculated. Accessed May 15, 2019, https://help.uber.com/riders/article/how-are-fares-calculated?nodeId=d2d43bbc-f4bb-4882-b8bb-4bd8acf03a9d.Google Scholar
• Uber (2019d) New driver surge. Accessed May 15, 2019, https://www.uber.com/blog/your-questions-about-the-new-surge-answered/.Google Scholar
• Uber (2019e) Service fee. Accessed May 15, 2019, https://marketplace.uber.com/pricing/service-fee.Google Scholar
• Wald A (1973) Sequential Analysis (Courier Corporation).Google Scholar
• Yan C, Zhu H, Korolko N, Woodard D (2020) Dynamic pricing and matching in ride-hailing platforms. Naval Research Logistics (NRL) 67(8):705–724.Crossref, Google Scholar
• Yang P, Iyer K, Frazier P (2018) Mean field equilibria for resource competition in spatial settings. Stochastic Systems 8(4):307–334.Link, Google Scholar
• Zhang L, Hu T, Min Y, Wu G, Zhang J, Feng P, Gong P, Ye J (2017) A taxi order dispatch model based on combinatorial optimization. Matwin S, Yu S, Farooq F, eds. Proc. 23rd ACM SIGKDD Internat. Conf. Knowledge Discovery Data Mining (ACM, New York), 2151–2159.Google Scholar