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Article: Market Formation, Pricing, and Value Generation in Ride-Hailing Services

TitleMarket Formation, Pricing, and Value Generation in Ride-Hailing Services
Authors
Issue Date29-May-2025
PublisherInstitute for Operations Research and Management Sciences
Citation
Manufacturing & Service Operations Management, 2025 How to Cite?
Abstract

Problem definition: We empirically study the market for ride-hailing services. In particular, we

explore the following questions: (i) How do the two-sided market and prices jointly form in ride-hailing

marketplaces? (ii) Does surge pricing create value and for whom? How can its efficiency be improved?

(iii) Can platforms’ strategy on revenue sharing with drivers be improved? (iv) What is the value

generated by ride-hailing services, including hosting rival taxi services on ride-hailing apps?

Methodology/Results: We develop a discrete choice model for the formation of mutually dependent

demand (customer side) and supply (driver side) that jointly determine pricing. Using this model and a

comprehensive data set obtained from the largest mobile ride platform in China, we estimate customer

and driver price elasticities and other factors that affect market participation for the company’s two

main markets, namely basic ride-hailing and Taxi services. Based on these estimation results and

counterfactual analysis, we demonstrate that surge pricing improves customer and driver welfare as well

as platform revenues, while counterintuitively reducing Taxi revenues on the platform. However, surge

pricing should be avoided during non-peak hours as it can hurt both customer and platform surplus. We

show that platform revenues can be improved by increasing drivers’ revenue share from the current levels.

Finally, we estimate that the platform’s basic ride-hailing services generated customer value equivalent

to 13.25 Billion USD in China in 2024, and hosting rival Taxi services on the platform boosted customer

surplus by 3.6 Billion USD.

Managerial Implications: Our empirical framework provides ride-hailing companies a way to estimate

demand and supply functions, which can help with optimization of multiple aspects of their operations.

Our findings demonstrate how to use surge pricing and revenue sharing more effectively. Finally, our

results measure and provide insights into policy questions such as restricting ride-hailing and mandating

the inclusion of rival Taxi services in platforms.


Persistent Identifierhttp://hdl.handle.net/10722/356666
ISSN
2023 Impact Factor: 4.8
2023 SCImago Journal Rankings: 5.466

 

DC FieldValueLanguage
dc.contributor.authorMing, Liu-
dc.contributor.authorTunca, Tunay I.-
dc.contributor.authorXu, Yi-
dc.contributor.authorZhu, Weiming-
dc.date.accessioned2025-06-09T00:35:05Z-
dc.date.available2025-06-09T00:35:05Z-
dc.date.issued2025-05-29-
dc.identifier.citationManufacturing & Service Operations Management, 2025-
dc.identifier.issn1523-4614-
dc.identifier.urihttp://hdl.handle.net/10722/356666-
dc.description.abstract<p>Problem definition: We empirically study the market for ride-hailing services. In particular, we</p><p>explore the following questions: (i) How do the two-sided market and prices jointly form in ride-hailing</p><p>marketplaces? (ii) Does surge pricing create value and for whom? How can its efficiency be improved?</p><p>(iii) Can platforms’ strategy on revenue sharing with drivers be improved? (iv) What is the value</p><p>generated by ride-hailing services, including hosting rival taxi services on ride-hailing apps?</p><p>Methodology/Results: We develop a discrete choice model for the formation of mutually dependent</p><p>demand (customer side) and supply (driver side) that jointly determine pricing. Using this model and a</p><p>comprehensive data set obtained from the largest mobile ride platform in China, we estimate customer</p><p>and driver price elasticities and other factors that affect market participation for the company’s two</p><p>main markets, namely basic ride-hailing and Taxi services. Based on these estimation results and</p><p>counterfactual analysis, we demonstrate that surge pricing improves customer and driver welfare as well</p><p>as platform revenues, while counterintuitively reducing Taxi revenues on the platform. However, surge</p><p>pricing should be avoided during non-peak hours as it can hurt both customer and platform surplus. We</p><p>show that platform revenues can be improved by increasing drivers’ revenue share from the current levels.</p><p>Finally, we estimate that the platform’s basic ride-hailing services generated customer value equivalent</p><p>to 13.25 Billion USD in China in 2024, and hosting rival Taxi services on the platform boosted customer</p><p>surplus by 3.6 Billion USD.</p><p>Managerial Implications: Our empirical framework provides ride-hailing companies a way to estimate</p><p>demand and supply functions, which can help with optimization of multiple aspects of their operations.</p><p>Our findings demonstrate how to use surge pricing and revenue sharing more effectively. Finally, our</p><p>results measure and provide insights into policy questions such as restricting ride-hailing and mandating</p><p>the inclusion of rival Taxi services in platforms.</p>-
dc.languageeng-
dc.publisherInstitute for Operations Research and Management Sciences-
dc.relation.ispartofManufacturing & Service Operations Management-
dc.rightsThis work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.-
dc.titleMarket Formation, Pricing, and Value Generation in Ride-Hailing Services-
dc.typeArticle-
dc.identifier.eissn1526-5498-
dc.identifier.issnl1523-4614-

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