Surge Pricing and Its Spatial Supply Response
Published Online:8 Oct 2020https://doi.org/10.1287/mnsc.2020.3622
References
- (2017) Ride-hailing networks with strategic drivers: The impact of platform control capabilities on performance. Working paper, University of Toronto, Toronto.Google Scholar
- (2003) Existence and stability results in the L1theory of optimal transportation. Caffarelli LA, Salsa S, eds. Optimal Transportation and Applications (Springer, Berlin), 123–160.Crossref, Google Scholar
- (2016) Multi-objective pricing for shared vehicle systems. Preprint, submitted August 24, https://arxiv.org/abs/1608.06819.Google Scholar
- (2015) Pricing in ride-share platforms: A queueing-theoretic approach. Working paper, Cornell University, Ithaca, NY.Google Scholar
- (2019) Spatial pricing in ride-sharing networks. Oper. Res. 67(3):744–769.Link, Google Scholar
- (2015) Optimal transport and cournot-nash equilibria. Math. Oper. Res. 41(1):125–145.Link, Google Scholar
- (2018) Computation of Cournot–Nash equilibria by entropic regularization. Vietnam J. Math. 46(1):15–31.Crossref, Google Scholar
- (2017) Spatial equilibrium, search frictions and efficient regulation in the taxi industry. 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.Google Scholar
- (2017) Surge pricing solves the wild goose chase. Proc. 2017 Conf. Econom. Comput. (ACM, New York), 241–242.Google Scholar
- (2003) Pricing network edges for heterogeneous selfish users. Proc. 35th Annual ACM Sympos. Theory Comput. (ACM, New York), 521–530.Google Scholar
- (1996) Damaged goods. J. Econom. Management Strategy 5(2):149–174.Crossref, Google Scholar
- (2017) We are on the way: Analysis of on-demand ride-hailing systems. Working paper, University of Minnesota, Minneapolis.Google Scholar
- (2019) Your Uber is arriving: Managing on-demand workers through surge pricing, forecast communication, and worker incentives. Management Sci. 65(5):1995–2014.Link, Google Scholar
- (2016) Operations in the on-demand economy: Staffing services with self-scheduling capacity. Working paper, Northwestern University, Evanston, IL.Google Scholar
- (2016) Dynamic type matching. Working paper, University of Toronto, Toronto.Google Scholar
- (2017) Price, wage and fixed commission in on-demand matching. Working paper, University of Toronto, Toronto.Google Scholar
- (2018) Surge pricing moves Uber’s driver-partners. Proc. 2018 ACM Conf. Econom. Comput. (ACM, New York), 3.Google Scholar
- (1984) On a theorem of Schmeidler. J. Math. Econom. 13(3):201–206.Crossref, Google Scholar
- (2018) Thickness and competition in ride-sharing markets. Working paper, Stanford University, Stanford, CA.Google Scholar
- (2020) Dynamic matching for real-time ridesharing. Stochastic Systems 10(1):29–70.Google Scholar
- (2002) How bad is selfish routing? J. ACM 49(2):236–259.Crossref, Google Scholar
- (1973) Equilibrium points of nonatomic games. J. Statist. Phys. 7(4):295–300.Crossref, Google Scholar
- (2004) The Theory and Practice of Revenue Management, International Series in Operations Research and Management Science, vol. 68 (Springer US, New York).Crossref, Google Scholar
- (2018) On-demand service platforms. Manufacturing Service Oper. Management 20(4):704–720.Link, Google Scholar
- (2008) Optimal Transport: Old and New, vol. 338 (Springer Science & Business Media, Berlin).Google Scholar

