The impact of ride-hailing in city transportation

Costas COURCOUBETIS, Yunpeng LI, Shuqin GAO, Qisheng HUANG

PDF(317 KB)
PDF(317 KB)
Front. Eng ›› DOI: 10.1007/s42524-024-4198-0
COMMENTS

The impact of ride-hailing in city transportation

Author information +
History +

Abstract

This paper investigates the impact of ride-hailing services, particularly the integration of autonomous vehicles (AVs), on urban transportation systems. The paper discusses the challenges faced by ride-hailing platforms in managing a fleet of both AVs and conventional vehicles (CVs) within the spatial network of a city. It examines the approaches and methods used to manage demand allocation for AVs and CVs, considering the strategic behavior of human drivers and considerations for possible regulations. Using mean-field game theory, this paper proposes efficient strategies for managing fleet operations along with those of traffic optimization and service efficiency. The analysis highlights the complexities of integrating AVs into existing transportation systems and advocates for the development of robust theoretical traffic models for regulatory decisions and improved urban mobility.

Graphical abstract

Keywords

ride-hailing / autonomous vehicles / conventional vehicles / strategic behavior / mean-field game

Cite this article

Download citation ▾
Costas COURCOUBETIS, Yunpeng LI, Shuqin GAO, Qisheng HUANG. The impact of ride-hailing in city transportation. Front. Eng, https://doi.org/10.1007/s42524-024-4198-0

References

[1]
Afèche P, Liu Z, Maglaras C, (2023). Ride-hailing networks with strategic drivers: The impact of platform control capabilities on performance. Manufacturing & Service Operations Management, 25( 5): 1890–1908
CrossRef Google scholar
[2]
BanerjeeSJohariRRiquelmeC (2015). Pricing in ride-sharing platforms: A queueing theoretic approach. Available at SSRN 2568258
[3]
Benjaafar S, Wu S, Liu H, Gunnarsson E B, (2022). Dimensioning on-demand vehicle sharing systems. Management Science, 68( 2): 1218–1232
CrossRef Google scholar
[4]
Bimpikis K, Candogan O, Saban D, (2019). Spatial pricing in ride-sharing networks. Operations Research, 67( 3): 744–769
CrossRef Google scholar
[5]
Braverman A, Dai J, Liu X, Ying L, (2019). Empty-car routing in ridesharing systems. Operations Research, 67( 5): 1437–1452
CrossRef Google scholar
[6]
CandoganOWuM (2023). Information design for spatial resource allocation. Available at SSRN 4505414
[7]
CastroFFrazelleA (2024). Getting out of your own way: Introducing autonomous vehicles on a ride-hailing patform. Production and Operations Management, Available at SSRN 3912137
[8]
CourcoubetisCDimakisA (2023). Stationary equilibrium of mean field games with congestion-dependent sojourn times. In: Proceedings of the 2023 International Conference on Autonomous Agents and Multiagent Systems. London: United Kingdom, 2913–2915
[9]
FreundDLobelIZhaoJ (2022). On the supply of autonomous vehicles in platforms. Available at SSRN 4178508
[10]
Huang M, Malhame R P, Caines P E, (2006). Large population stochastic dynamic games: closed-loop mckeanvlasov systems and the nash certainty equivalence principle. Communications in Information and Systems, 6( 3): 221–252
CrossRef Google scholar
[11]
Lasry J M, Lions P L, (2007). Mean field games. Japanese Journal of Mathematics, 2( 1): 229–260
CrossRef Google scholar
[12]
LianZvan RyzinG (2023). Capturing the benefits of autonomous vehicles in ride-hailing: The role of market configuration. Available at SSRN 3716491
[13]
McCurryJ (2018). Driverless taxi debuts in tokyo in world first trial ahead of olympics. The Guardian, Available at the website of Theguardian
[14]
Siddiq A, Taylor T A, (2022). Ride-hailing platforms: Competition and autonomous vehicles. Manufacturing & Service Operations Management, 24( 3): 1511–1528
CrossRef Google scholar
[15]
WigandK MBrandtTNeumannD (2020). The effect of autonomous vehicles on consumer welfare in ride-hailing markets. Available at SSRN 3664415

Competing Interests

The authors declare that they have no competing interests.

RIGHTS & PERMISSIONS

2024 Higher Education Press
AI Summary AI Mindmap
PDF(317 KB)

Accesses

Citations

Detail

Sections
Recommended

/