TY - JOUR
T1 - Co-Opetition in the Ride-Hailing Market
T2 - The Role of the Integrated Channel in Balancing Supply and Demand
AU - Xu, Chenwei
AU - Li, Gang
AU - Dang, Chuangyin
N1 - Publisher Copyright:
© 1988-2012 IEEE.
PY - 2026
Y1 - 2026
N2 - In the ride-hailing market, platforms such as Didi Chuxing are increasingly collaborating with taxi services through the integrated channel, like Simultaneous Ride-Hailing Request (SR). SR allows riders to submit a single request that includes both platform-based and taxi services, with the platform allocating each request to one of the two services and charging the corresponding price. To investigate the implications of SR, we develop an analytical model of a ride-hailing platform that integrates a platform-based service with self-scheduling drivers and a taxi service with a fixed supply. Riders differ in their service preferences and sensitivity to driver availability. We find that although integrating the taxi service into the platform intensifies competition for riders between the two services, SR can yield a win-win outcome by improving both platform profitability and taxi utilization. In particular, SR enables the platform to serve additional riders without lowering the price and helps the taxi service alleviate demand loss caused by offline search frictions, thereby mitigating price competition across services. Moreover, we identify the sensitivity of self-scheduling drivers to rider availability as a key performance determinant driving these results. When self-scheduling drivers are sufficiently sensitive, SR adoption is profitable by enhancing supply–demand coordination. Finally, we confirm the robustness of our results by relaxing two key assumptions: allowing the platform to charge the commission fee on the taxi service and permitting platform-based riders to also use SR. Overall, this study provides new insights into platform–taxi cooperation and contributes to the broader understanding of sustainable ride-hailing markets.
AB - In the ride-hailing market, platforms such as Didi Chuxing are increasingly collaborating with taxi services through the integrated channel, like Simultaneous Ride-Hailing Request (SR). SR allows riders to submit a single request that includes both platform-based and taxi services, with the platform allocating each request to one of the two services and charging the corresponding price. To investigate the implications of SR, we develop an analytical model of a ride-hailing platform that integrates a platform-based service with self-scheduling drivers and a taxi service with a fixed supply. Riders differ in their service preferences and sensitivity to driver availability. We find that although integrating the taxi service into the platform intensifies competition for riders between the two services, SR can yield a win-win outcome by improving both platform profitability and taxi utilization. In particular, SR enables the platform to serve additional riders without lowering the price and helps the taxi service alleviate demand loss caused by offline search frictions, thereby mitigating price competition across services. Moreover, we identify the sensitivity of self-scheduling drivers to rider availability as a key performance determinant driving these results. When self-scheduling drivers are sufficiently sensitive, SR adoption is profitable by enhancing supply–demand coordination. Finally, we confirm the robustness of our results by relaxing two key assumptions: allowing the platform to charge the commission fee on the taxi service and permitting platform-based riders to also use SR. Overall, this study provides new insights into platform–taxi cooperation and contributes to the broader understanding of sustainable ride-hailing markets.
KW - Co-opetition
KW - integrated channel
KW - ride-hailing platforms
KW - supply and demand balance
KW - taxi services
UR - https://www.scopus.com/pages/publications/105022450804
U2 - 10.1109/TEM.2025.3634380
DO - 10.1109/TEM.2025.3634380
M3 - 文章
AN - SCOPUS:105022450804
SN - 0018-9391
VL - 73
SP - 97
EP - 109
JO - IEEE Transactions on Engineering Management
JF - IEEE Transactions on Engineering Management
ER -