2022
DOI: 10.3390/a15050172
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A Tailored Pricing Strategy for Different Types of Users in Hybrid Carsharing Systems

Abstract: 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 sizes and sizes of SAVs’ stations are also determined simultaneously. A bi-objective nonlinear programming model is established, and a genetic algorithm is applied to solve it. Based on the operational data in Lanz… Show more

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Cited by 3 publications
(3 citation statements)
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“…Two objective functions are minimized: one models the overall cost (i.e., maintenance, acquisition, and infrastructure), whereas the other takes into account the sustainability through local pollutants costs. A tailored pricing strategy is developed in Lu et al (2022) for the FS and for the station size in OW CSSs with both AVs and conventional vehicles. One objective function, to maximize, represents the overall profit (i.e., the revenues minus the costs due to the driving, the maintenance, and the deprecation), whereas the other objective function, to minimize, represents the users' costs (i.e., the rental fees and the walking costs).…”
Section: Car-sharing With a Mixed Fleetmentioning
confidence: 99%
“…Two objective functions are minimized: one models the overall cost (i.e., maintenance, acquisition, and infrastructure), whereas the other takes into account the sustainability through local pollutants costs. A tailored pricing strategy is developed in Lu et al (2022) for the FS and for the station size in OW CSSs with both AVs and conventional vehicles. One objective function, to maximize, represents the overall profit (i.e., the revenues minus the costs due to the driving, the maintenance, and the deprecation), whereas the other objective function, to minimize, represents the users' costs (i.e., the rental fees and the walking costs).…”
Section: Car-sharing With a Mixed Fleetmentioning
confidence: 99%
“…Similarly, the follower in the lower-level model sets parking spaces based on the decisions the leader made in the upper-level model, as shown in Constraints (2). It means that the number of parking spaces the follower can set at each station is no greater than the remaining spaces (being the difference between the upper limit of the number of spaces that can be allocated at station i (Q i ) and the number of spaces allocated by the leader at the same station (…”
Section: Interactions Between Operatorsmentioning
confidence: 99%
“…It is convenient and energy-saving, which makes sharing cars one of the main transport modes in the future [1]. One-way carsharing systems are widely adopted in China, where car borrowing and returning stations can be different [2]. Most research focuses on one-way carsharing systems with a single operator.…”
Section: Introductionmentioning
confidence: 99%