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...

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Vydané v:	Algorithms Ročník 15; číslo 5; s. 172
Hlavní autori:	Lu, Rongqin, Zhao, Xiaomei, Wang, Yingqi
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Basel MDPI AG 20.05.2022
Predmet:	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
On-line prístup:	Získať plný text
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