File Download
There are no files associated with this item.
Supplementary
-
Citations:
- Appears in Collections:
Article: Market Formation, Pricing, and Value Generation in Ride-Hailing Services
| Title | Market Formation, Pricing, and Value Generation in Ride-Hailing Services |
|---|---|
| Authors | |
| Issue Date | 29-May-2025 |
| Publisher | Institute 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 Identifier | http://hdl.handle.net/10722/356666 |
| ISSN | 2023 Impact Factor: 4.8 2023 SCImago Journal Rankings: 5.466 |
| DC Field | Value | Language |
|---|---|---|
| dc.contributor.author | Ming, Liu | - |
| dc.contributor.author | Tunca, Tunay I. | - |
| dc.contributor.author | Xu, Yi | - |
| dc.contributor.author | Zhu, Weiming | - |
| dc.date.accessioned | 2025-06-09T00:35:05Z | - |
| dc.date.available | 2025-06-09T00:35:05Z | - |
| dc.date.issued | 2025-05-29 | - |
| dc.identifier.citation | Manufacturing & Service Operations Management, 2025 | - |
| dc.identifier.issn | 1523-4614 | - |
| dc.identifier.uri | http://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.language | eng | - |
| dc.publisher | Institute for Operations Research and Management Sciences | - |
| dc.relation.ispartof | Manufacturing & Service Operations Management | - |
| dc.rights | This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License. | - |
| dc.title | Market Formation, Pricing, and Value Generation in Ride-Hailing Services | - |
| dc.type | Article | - |
| dc.identifier.eissn | 1526-5498 | - |
| dc.identifier.issnl | 1523-4614 | - |

