Price, Commission Rate, and Security Investment Effort for on-Demand Ride-Hailing Platforms

Ruizhen Xie , Yao Zhang

Journal of Systems Science and Systems Engineering ›› : 1 -29.

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Journal of Systems Science and Systems Engineering ›› : 1 -29. DOI: 10.1007/s11518-025-5669-5
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Price, Commission Rate, and Security Investment Effort for on-Demand Ride-Hailing Platforms

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Abstract

Faced with rider/driver concerns about the security of ride-hailing services, on-demand ride-hailing platforms, such as DiDi, Uber, and Grab, have been investing in security to reduce their perceived security risk (PSR). These platforms have several investment choices: investing in security on the demand side (Case C), investing in security on the supply side (Case D), and investing in security on both sides (the demand side and the supply side) (Case CD). This paper considers an on-demand service platform and studies optimal pricing and security investment effort under different choices considering different rider and driver types. To explore the impact of security investments on the platform, riders, and drivers, we also analyze a scenario without security investments (Case N). The results show that the service price under Case C is always higher than that under Case N, while the service price under Case D is always lower than that under Case N. The relationships between service prices under Case CD and the other scenarios are influenced by the PSR sensitivity of service price-sensitive riders, the proportion of PSR-sensitive riders, and the cost coefficient of the supply side. The commission rates under security investments are always smaller than the commission rate under Case N. We also find that security investments have different impacts on the platform, riders, drivers, and society. In addition, we extend our model to multiple situations to check the robustness of our main results.

Keywords

On-demand ride-hailing platform / service price / commission rate / security risk / security investment effort

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Ruizhen Xie, Yao Zhang. Price, Commission Rate, and Security Investment Effort for on-Demand Ride-Hailing Platforms. Journal of Systems Science and Systems Engineering 1-29 DOI:10.1007/s11518-025-5669-5

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References

[1]

BaiJ R, TangC S. Can two competing on-demand service platforms be profitable?. International Journal of Production Economics, 2022, 250: 108672

[2]

CachonG P, DanielsK M, LobelR. The role of surge pricing on a service platform with self-scheduling capacity. Manufacturing & Service Operations Management, 2017, 19(3): 368-384

[3]

ChenM Y, ZhaoD Z, GongY M, RekikY. An on-demand service platform with self-scheduling capacity: Uniform versus multiplier-based pricing. International Journal of Production Economics, 2022, 243: 108329

[4]

ChiX, FanZ P, DongZ P. Dealing with safety risks from peer-to-peer service sharing: Optimal pricing and safety investment for a sharing platform. International Transactions in Operational Research, 2025, 32(4): 2278-2310

[5]

ChoiT M, GuoS, LiuN, ShiX T. Optimal pricing in on-demand-service-platform-operations with hired agents and risk-sensitive customers in the blockchain era. European Journal of Operational Research, 2020, 284(3): 1031-1042

[6]

DiDiFORM 20-F, 2023

[7]

DouG W, HeP, XuX Y. One-side value-added service investment and pricing strategies for a two-sided platform. International Journal of Production Research, 2016, 54(13): 3808-3821

[8]

GudaH, SubramanianU. Your Uber is arriving: Managing on-demand workers through surge pricing, forecast communication, and worker incentives. Management Science, 2019, 65(5): 1995-2014

[9]

GuoD L, FanZ P, LiuY. The strategic analysis of service mode selection for a ride-hailing platform. International Transactions in Operational Research, 2024, 31(5): 3135-3172

[10]

HongJ H, KimB C, ParkK S. Optimal risk management for the sharing economy with stranger danger and service quality. European Journal of Operational Research, 2019, 279(3): 1024-1035

[11]

HongJ H, LiuX X. The optimal pricing for green ride services in the ride-sharing economy. Transportation Research Part D: Transport and Environment, 2022, 104: 103205

[12]

HongS J. Assessing economic value of reducing perceived risk in the sharing economy: The case of ride-sharing services. Proceedings of the Twenty-third Americas Conference on Information Systems, 2017August 10–12, 2017

[13]

HuB, HuM, ZhuH. Surge pricing and two-sided temporal responses in ride hailing. Manufacturing & Service Operations Management, 2022, 24(1): 91-109

[14]

HuM, ZhouYPrice, wage, and fixed commission in on-demand matching, 2020SSRN: 2949513

[15]

JacobJ, Roet-GreenR. Ride solo or pool: Designing price-service menus for a ride-sharing platform. European Journal of Operational Research, 2021, 295(3): 1008-1024

[16]

LeeC, RahafroozM, LeeO K D. What are the concerns of using a ride-sharing service? An investigation of Uber. Proceedings of the Twenty-third Americas Conference on Information Systems, 2017August 10–12

[17]

LiJ B, HuF Y, YanT T, CaiX Y, SongX R. How to charge doctors and price medicines in a two-sided online healthcare platform with network externalities?. International Journal of Production Research, 2023, 61(9): 3052-3070

[18]

LinX G, SunC Y, CaoB, ZhouY W, ChenC Y. Should ride-sharing platforms cooperate with car-rental companies? Implications for consumer surplus and driver surplus. Omega, 2021, 102: 102309

[19]

LiuS, JiangH. Personalized route recommendation for ride-hailing with deep inverse reinforcement learning and real-time traffic conditions. Transportation Research Part E: Logistics and Transportation Review, 2022, 164: 102780

[20]

LiuY, GaoQ, RauP L P. Chinese passengers’ security perceptions of ride-hailing services: An integrated approach combining general and situational perspectives. Travel Behaviour and Society, 2022, 26: 250-269

[21]

LoaP, HabibK N. Examining the influence of attitudinal factors on the use of ride-hailing services in Toronto. Transportation Research Part A: Policy and Practice, 2021, 146: 13-28

[22]

MaL, ZhangX, DingX Y, WangG S. Risk perception and intention to discontinue use of ride-hailing services in China: Taking the example of DiDi Chuxing. Transportation Research Part F: Traffic Psychology and Behaviour, 2019, 66: 459-470

[23]

MatsubayashiN, YamadaY. A note on price and quality competition between asymmetric firms. European Journal of Operational Research, 2008, 187(2): 571-581

[24]

MonroeK B. Buyers’ subjective perceptions of price. Journal of Marketing Research, 1973, 10(1): 70-80

[25]

Nguyen-PhuocD Q, SuD N, NguyenM H, VoN S, Oviedo-TrespalaciosO. Factors influencing intention to use on-demand shared ride-hailing services in Vietnam: Risk, cost or sustainability?. Journal of Transport Geography, 2022, 99: 103302

[26]

NikzadAThickness and competition in ride-sharing markets, 2017 SSRN: 3065672

[27]

SiddiqA, TaylorT A. Ride-hailing platforms: Competition and autonomous vehicles. Manufacturing & Service Operations Management, 2022, 24(3): 1511-1528

[28]

SuiR H, ZhangX M, DanB, ZhangH Y, LiuY. Bilateral value-added service investment in platform competition with cross-side network effects under multihoming. European Journal of Operational Research, 2023, 304(3): 952-963

[29]

SunL Y, TeunterR H, BabaiM Z, HuaG W. Optimal pricing for ride-sourcing platforms. European Journal of Operational Research, 2019, 278(3): 783-795

[30]

TangY L, GuoP F, TangC S, WangY L. Gender-related operational issues arising from on-demand ride-hailing platforms: Safety concerns and system configuration. Production and Operations Management, 2021, 30(10): 3481-3496

[31]

TaylorT A. On-demand service platforms. Manufacturing & Service Operations Management, 2018, 20(4): 704-720

[32]

UberUS safety report, 2019

[33]

UberUber announces results for second quarter 2023, 2023

[34]

WangS J, HuQ Y, LiuW Q. Price and quality-based competition and channel structure with consumer loyalty. European Journal of Operational Research, 2017, 262(2): 563-574

[35]

WangY, GuJ B, WangS Y, WangJ. Understanding consumers’ willingness to use ride-sharing services: The roles of perceived value and perceived risk. Transportation Research Part C: Emerging Technologies, 2019, 105: 504-519

[36]

WangY M, YinR, ChenX J, WebsterS. Investment efforts under complementary sourcing: The role of market risk and endogenous pricing. Manufacturing & Service Operations Management, 2022, 24(5): 2595-2610

[37]

WuT, ZhangM B, TianX, WangS Y, HuaG W. Spatial differentiation and network externality in pricing mechanism of online car hailing platform. International Journal of Production Economics, 2020, 219: 275-283

[38]

YuJ J, TangC S, Max ShenZ J, ChenX M. A balancing act of regulating on-demand ride services. Management Science, 2020, 66(7): 2975-2992

[39]

ZhangC L, ChenJ Q, RaghunathanS. Two-sided platform competition in a sharing economy. Management Science, 2022, 68(12): 8909-8932

[40]

ZhaoD Z, ChenM Y. Ex-ante versus ex-post destination information model for on-demand service ride-sharing platform. Annals of Operations Research, 2019, 279: 301-341

[41]

ZhaoD Z, YuanZ W, ChenM Y, YangS. Differential pricing strategies of ride-sharing platforms: Choosing customers or drivers?. International Transactions in Operational Research, 2022, 29(2): 1089-1131

[42]

ZhongY G, LanY B, ChenZ, YangJ Z. On-demand ride-hailing platforms with heterogeneous quality-sensitive customers: Dedicated system or pooling system?. Transportation Research Part B: Methodological, 2023, 173: 247-266

[43]

ZhongY G, PanQ, XieW, ChengT C E, LinX G. Pricing and wage strategies for an on-demand service platform with heterogeneous congestion-sensitive customers. International Journal of Production Economics, 2020, 230: 107901

[44]

ZhongY G, YangT, CaoB, ChengTCE. On-demand ride-hailing platforms in competition with the taxi industry: Pricing strategies and government supervision. International Journal of Production Economics, 2022, 243: 108301

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Systems Engineering Society of China and Springer-Verlag GmbH Germany

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