A Tailored Pricing Strategy for Different Types of Users in Hybrid Carsharing Systems

Considering the characteristics of different types of users in hybrid carsharing systems, in which sharing autonomous vehicles (SAVs) and conventional sharing cars (CSCs) coexist, a tailored pricing strategy (TPS) is proposed to maximize the operator’s profit and minimize all users’ costs. The fleet...

Ausführliche Beschreibung

Gespeichert in:

Bibliographische Detailangaben
Veröffentlicht in:	Algorithms Jg. 15; H. 5; S. 172
Hauptverfasser:	Lu, Rongqin, Zhao, Xiaomei, Wang, Yingqi
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Basel MDPI AG 20.05.2022
Schlagworte:	Automobiles Autonomous vehicles Car sharing Case studies conventional sharing cars Genetic algorithms hybrid carsharing systems Hybrid systems Incentives Maintenance costs Nonlinear programming Price elasticity Pricing Profits sharing autonomous vehicles tailored pricing strategy Travel user clustering China
ISSN:	1999-4893, 1999-4893
Online-Zugang:	Volltext
Tags:	Tag hinzufügen Keine Tags, Fügen Sie den ersten Tag hinzu!

Schreiben Sie den ersten Kommentar!