Vehicle relocation in one-way station-based electric carsharing systems: A comparative study of operator-based and user-based methods

Kai Huang; Kun An; Jeppe Rich; Wanjing Ma

doi:10.1016/j.tre.2020.102081

Vehicle relocation in one-way station-based electric carsharing systems: A comparative study of operator-based and user-based methods

Kai Huang, Kun An^*, Jeppe Rich, Wanjing Ma

^*Corresponding author for this work

Research output: Contribution to journal › Journal article › Research › peer-review

Abstract

This paper compares the efficiency of two relocation methods in a one-way station-based electric car sharing system. First, an operator-based model is considered where relocations are managed by a dedicated crew. This is compared to a user-based model where price incentives are used to balance demand and supply. Two types of pricing schemes are investigated: A trip-based and a station-based scheme. The ε-optimal and iterated local search algorithms are proposed to handle nonlinear demand. The performances of all methods are explored in a realistic case study from Suzhou, China.

Original language	English
Article number	102081
Journal	Transportation Research Part E: Logistics and Transportation Review
Volume	142
ISSN	1366-5545
DOIs	https://doi.org/10.1016/j.tre.2020.102081
Publication status	Published - 2020

Keywords

One-way carsharing
Electric vehicles
Relocation
Flexible pricing

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title = "Vehicle relocation in one-way station-based electric carsharing systems: A comparative study of operator-based and user-based methods",

abstract = "This paper compares the efficiency of two relocation methods in a one-way station-based electric car sharing system. First, an operator-based model is considered where relocations are managed by a dedicated crew. This is compared to a user-based model where price incentives are used to balance demand and supply. Two types of pricing schemes are investigated: A trip-based and a station-based scheme. The ε-optimal and iterated local search algorithms are proposed to handle nonlinear demand. The performances of all methods are explored in a realistic case study from Suzhou, China.",

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language = "English",

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journal = "Transportation Research. Part E: Logistics and Transportation Review",

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AU - Huang, Kai

AU - An, Kun

AU - Rich, Jeppe

AU - Ma, Wanjing

PY - 2020

Y1 - 2020

N2 - This paper compares the efficiency of two relocation methods in a one-way station-based electric car sharing system. First, an operator-based model is considered where relocations are managed by a dedicated crew. This is compared to a user-based model where price incentives are used to balance demand and supply. Two types of pricing schemes are investigated: A trip-based and a station-based scheme. The ε-optimal and iterated local search algorithms are proposed to handle nonlinear demand. The performances of all methods are explored in a realistic case study from Suzhou, China.

AB - This paper compares the efficiency of two relocation methods in a one-way station-based electric car sharing system. First, an operator-based model is considered where relocations are managed by a dedicated crew. This is compared to a user-based model where price incentives are used to balance demand and supply. Two types of pricing schemes are investigated: A trip-based and a station-based scheme. The ε-optimal and iterated local search algorithms are proposed to handle nonlinear demand. The performances of all methods are explored in a realistic case study from Suzhou, China.

KW - One-way carsharing

KW - Electric vehicles

KW - Relocation

KW - Flexible pricing

U2 - 10.1016/j.tre.2020.102081

DO - 10.1016/j.tre.2020.102081

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VL - 142

JO - Transportation Research. Part E: Logistics and Transportation Review

JF - Transportation Research. Part E: Logistics and Transportation Review

SN - 1366-5545

M1 - 102081

ER -