Pricing and operational planning of a fixed-route ride-sharing service Online publication date: Thu, 26-Jan-2023
by Wanqing Zhu; Xi Chen; Bo Wang; Steven Lawrence; Hao Zhou; Armagan Bayram
International Journal of Operational Research (IJOR), Vol. 46, No. 1, 2023
Abstract: Fixed-route ride-sharing services, e.g., RidePal, OurBus, Urbvan, are becoming increasing popular among metropolitan areas. Effective pricing and operational planning of these services are undeniably crucial in their profitability and survival. However, the effectiveness of existing approaches has been hindered by the accuracy in demand estimation. In this paper, we develop a data-driven demand model using the multinomial logit model. We also construct a nonlinear optimisation model based on this demand model to jointly optimise price and operational decisions. A case study based on a real world fixed-route ride-sharing service in New York City is presented to demonstrate how the proposed models are used to improve the profitability of the service. We also show how this model can apply in settings where only limited public data are available to obtain effective estimation of demand and profit.
Existing subscribers:
Go to Inderscience Online Journals to access the Full Text of this article.
If you are not a subscriber and you just want to read the full contents of this article, buy online access here.Complimentary Subscribers, Editors or Members of the Editorial Board of the International Journal of Operational Research (IJOR):
Login with your Inderscience username and password:
Want to subscribe?
A subscription gives you complete access to all articles in the current issue, as well as to all articles in the previous three years (where applicable). See our Orders page to subscribe.
If you still need assistance, please email subs@inderscience.com