Optimal pricing in ride-share platforms

AbstractRide-share platforms are contemporary businesses that match passengers with drivers, unlike taxis that can be hailed from the street. In the literature, the problem of optimizing the operations of such companies is mostly considered in static settings. We use in this paper a dynamic model an...

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Main Authors: Sobhi Mejjaouli, Lotfi Tadj
Format: Article
Language:English
Published: Taylor & Francis Group 2023-12-01
Series:Cogent Engineering
Subjects:
Online Access:https://www.tandfonline.com/doi/10.1080/23311916.2023.2230710
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author Sobhi Mejjaouli
Lotfi Tadj
author_facet Sobhi Mejjaouli
Lotfi Tadj
author_sort Sobhi Mejjaouli
collection DOAJ
description AbstractRide-share platforms are contemporary businesses that match passengers with drivers, unlike taxis that can be hailed from the street. In the literature, the problem of optimizing the operations of such companies is mostly considered in static settings. We use in this paper a dynamic model and propose differential equations to model the evolution of the system. The objective is to maximize the profit during the planning horizon. Using optimal control theory, we determine the optimal rate of change in the ride price rate. An illustrative example along with sensitivity analyses shows the effect of the system parameters on the optimal solution obtained.
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spelling doaj.art-93a9f5e24a64488ba0da306f9e74a4252024-02-23T15:01:39ZengTaylor & Francis GroupCogent Engineering2331-19162023-12-0110110.1080/23311916.2023.2230710Optimal pricing in ride-share platformsSobhi Mejjaouli0Lotfi Tadj1Department of Industrial Engineering, Alfaisal University, Riyadh, Saudi ArabiaDepartment of Industrial Engineering, Alfaisal University, Riyadh, Saudi ArabiaAbstractRide-share platforms are contemporary businesses that match passengers with drivers, unlike taxis that can be hailed from the street. In the literature, the problem of optimizing the operations of such companies is mostly considered in static settings. We use in this paper a dynamic model and propose differential equations to model the evolution of the system. The objective is to maximize the profit during the planning horizon. Using optimal control theory, we determine the optimal rate of change in the ride price rate. An illustrative example along with sensitivity analyses shows the effect of the system parameters on the optimal solution obtained.https://www.tandfonline.com/doi/10.1080/23311916.2023.2230710ride-sharingoptimal controloptimal pricing
spellingShingle Sobhi Mejjaouli
Lotfi Tadj
Optimal pricing in ride-share platforms
Cogent Engineering
ride-sharing
optimal control
optimal pricing
title Optimal pricing in ride-share platforms
title_full Optimal pricing in ride-share platforms
title_fullStr Optimal pricing in ride-share platforms
title_full_unstemmed Optimal pricing in ride-share platforms
title_short Optimal pricing in ride-share platforms
title_sort optimal pricing in ride share platforms
topic ride-sharing
optimal control
optimal pricing
url https://www.tandfonline.com/doi/10.1080/23311916.2023.2230710
work_keys_str_mv AT sobhimejjaouli optimalpricinginrideshareplatforms
AT lotfitadj optimalpricinginrideshareplatforms