Spatio-Temporal Pricing for Ridesharing Platforms

References

• Ahuja RK, Magnanti TL, Orlin JB (1993) Network Flows: Theory, Algorithms, and Applications (Prentice Hall, Upper Saddle River, NJ).Google Scholar
• Athey S, Segal I (2013) An efficient dynamic mechanism. Econometrica 81(6):2463–2485.Crossref, Google Scholar
• Banerjee S, Freund D, Lykouris T (2017) Pricing and optimization in shared vehicle systems: An approximation framework. Proc. 2017 ACM Conf. Econom. Comput. (ACM, New York), 517–517.Google Scholar
• Banerjee S, Johari R, Riquelme C (2015) Pricing in ride-sharing platforms: A queueing-theoretic approach. Proc. 16th ACM Conf. Econom. Comput. (ACM, New York), 639–639.Google Scholar
• Bergemann D, Välimäki J (2010) The dynamic pivot mechanism. Econometrica 78(2):771–789.Crossref, Google Scholar
• Bertsekas DP (1990) The auction algorithm for assignment and other network flow problems: A tutorial. Interfaces 20(4):133–149.Link, Google Scholar
• Bertsimas D, Tsitsiklis JN (1997) Introduction to Linear Optimization, vol. 6 (Athena Scientific, Belmont, MA).Google Scholar
• Bikhchandani S, Ostroy JM (2002) The package assignment model. J. Econom. Theory 107(2):377–406.Crossref, Google Scholar
• Bimpikis K, Candogan O, Saban D (2019) Spatial pricing in ride-sharing networks. Oper. Res. 67(3):744–769.Link, Google Scholar
• Bolton P, Dewatripont M (2005) Contract Theory (MIT Press, Cambridge, MA).Google Scholar
• Campbell H (2016) Advice for new uber drivers: Don’t chase the surge! Accessed August 17, 2017, https://web.archive.org/web/20170817134312/http://maximumridesharingprofits.com/advice-new-uber-drivers-dont-chase-surge/.Google Scholar
• Castillo JC, Knoepfle D, Weyl G (2017) Surge pricing solves the wild goose chase. Proc. 2017 ACM Conf. Econom. Comput. (ACM, New York), 241–242.Google Scholar
• Cavallo R, Parkes DC, Singh S (2009) Efficient mechanisms with dynamic populations and dynamic types. Technical report, Harvard University, Cambridge, MA.Google Scholar
• Chen MK (2017) Dynamic pricing in a labor market: Surge pricing and flexible work on the uber platform. Proc. 2016 ACM Conf. Econom. Comput. 455. Accessed December 19, 2020, https://web.archive.org/web/20201219031544/https://www.youtube.com/watch?v=qi094xqmipa.Google Scholar
• Chen MK, Sheldon M (2015) Dynamic pricing in a labor market: Surge pricing and the supply of uber driver-partners. Working paper, University of California, Los Angeles.Google Scholar
• Chen MK, Rossi PE, Chevalier JA, Oehlsen E (2019) The value of flexible work: Evidence from uber drivers. J. Political Econom. 127(6):2735–2794.Crossref, Google Scholar
• Cohen P, Hahn R, Hall J, Levitt S, Metcalfe R (2016) Using big data to estimate consumer surplus: The case of uber. NBER Working Paper No. 22627, National Bureau of Economic Research, Cambridge, MA.Google Scholar
• Cook C, Diamond R, Hall JV, List JA, Oyer P (2021) The gender earnings gap in the gig economy: Evidence from over a million rideshare drivers. Rev. Econom. Stud. 88(5):2210–2238.Google Scholar
• Garg N, Nazerzadeh H (2020) Driver surge pricing. Proc. 21st ACM Conf. Econom. Comput. (ACM, New York), 501–501.Google Scholar
• Gridwise (2017) This is how rideshare drivers are taking advantage of football season. Accessed December 19, 2020, https://web.archive.org/web/20201219031922/https://gridwise.io/this-is-how-rideshare-drivers-are-taking-advantage-of-football-season.Google Scholar
• Gul F, Stacchetti E (1999) Walrasian equilibrium with gross substitutes. J. Econom. Theory 87(1):95–124.Crossref, Google Scholar
• Hall JV, Krueger AB (2016) An analysis of the labor market for Uber’s driver-partners in the United States. NBER Working Paper No. 22843, National Bureau of Economic Research, Cambridge, MA.Google Scholar
• Hall JV, Horton JJ, Knoepfle DT (2017) Labor market equilibration: Evidence from Uber. Technical report, New York University Stern School of Business, New York.Google Scholar
• Hall J, Kendrick C, Nosko C (2015) The effects of Uber’s surge pricing: A case study. Technical report, The University of Chicago Booth School of Business, Chicago.Google Scholar
• Hatfield JW, Kominers SD, Nichifor A, Ostrovsky M, Westkamp A (2013) Stability and competitive equilibrium in trading networks. J. Political Econom. 121(5):966–1005.Crossref, Google Scholar
• Hatfield JW, Kominers SD, Nichifor A, Ostrovsky M, Westkamp A (2021) Chain stability in trading networks. Theoretical Econom. 16(1):197–234.Google Scholar
• Kelso AS, Crawford VP (1982) Job matching, coalition formation, and gross substitutes. Econometrica 50(6):1483–1504.Crossref, Google Scholar
• Levin J (2003) Relational incentive contracts. Amer. Econom. Rev. 93(3):835.Crossref, Google Scholar
• Lu A, Frazier PI, Kislev O (2018) Surge pricing moves uber’s driver-partners. Proc. 2018 ACM Conf. Econom. Comput. (ACM, New York), 3.Google Scholar
• Lyft (2016) 6 reasons to drive with lyft. Accessed September 25, 2018, https://web.archive.org/web/20180925020314/https://blog.lyft.com/posts/reasons-to-drive-with-lyft.Google Scholar
• Lyft (2017) Pricing when it’s busy. Accessed February 16, 2017, https://web.archive.org/web/20170216214743/https://help.lyft.com/hc/en-us/articles/213818898-Prime-Time-for-Passengers.Google Scholar
• Marshall A (2020) Uber changes its rules, and drivers adjust their strategies. Accessed February 19, 2020, https://www.wired.com/story/uber-changes-rules-drivers-adjust-strategies/amp.Google Scholar
• Mishra D, Parkes DC (2007) Ascending price vickrey auctions for general valuations. J. Econom. Theory 132(1):335–366.Crossref, Google Scholar
• Murota K (2003) Discrete Convex Analysis (SIAM, Philadelphia).Crossref, Google Scholar
• Murota K (2016) Discrete convex analysis: A tool for economics and game theory. J. Mechanism Institution Design 1(1):151–273.Crossref, Google Scholar
• Nesterov Y (2013) Introductory Lectures on Convex Optimization: A Basic Course, vol. 87 (Springer Science & Business Media, Cham, Switzerland).Google Scholar
• Osborne MJ, Rubinstein A (1994) A Course in Game Theory (MIT Press, Cambridge, MA).Google Scholar
• Ostrovsky M (2008) Stability in supply chain networks. Amer. Econom. Rev. 98(3):897–923.Crossref, Google Scholar
• Parkes DC, Ungar LH (2000) Iterative combinatorial auctions: Theory and practice. Proc. 17th Natl. Conf. Artificial Intelligence (AAAI, Palo Alto, CA), 74–81.Google Scholar
• Paul K (2018) There’s a quiet battle of wills between uber drivers and customers over who cancels first. Accessed August 17, 2018, https://www.marketwatch.com/story/new-york-citys-new-uber-rules-could-make-those-5-cancellation-fees-go-away-2018-08-16.Google Scholar
• Perea C (2017) Uber drops destination filters back to 2 trips per day. Accessed December 19, 2020, https://therideshareguy.com/uber-drops-destination-filters-back-to-2-trips-per-day/.Google Scholar
• Rayle L, Shaheen S, Chan N, Dai D, Cervero R (2014) App-based, on-demand ride services: Comparing taxi and ridesourcing trips and user characteristics in San Francisco. Technical report, University of California Transportation Center.Google Scholar
• Salanié B (2005) The Economics of Contracts: A Primer (MIT Press, Cambridge, MA).Google Scholar
• Shapley LS, Shubik M (1971) The assignment game i: The core. Internat. J. Game Theory 1(1):111–130.Crossref, Google Scholar
• Uber (2016) Uber community guidelines. Accessed October 25, 2020, https://web.archive.org/web/20201025200022/https://www.uber.com/blog/chicago/uberaccess/.Google Scholar
• Uber (2017) Drive with uber: Make money on your schedule. Accessed September 3, 2017, https://web.archive.org/web/20170903040515/https://www.uber.com/drive/.Google Scholar
• Uber (2019) To California drivers: Keeping you in the driver’s seat. Accessed August 15, 2020, https://web.archive.org/web/20200815200530/https://www.uber.com/blog/california/keeping-you-in-the-drivers-seat-1/.Google Scholar
• Wolsey LA (1999) Integer and Combinatorial Optimization (John Wiley & Sons, Hoboken, NJ).Google Scholar
• Yan C, Zhu H, Korolko N, Woodard D (2020) Dynamic pricing and matching in ride-hailing platforms. Naval Res. Logist. 67(8):705–724.Crossref, Google Scholar