Economic Analysis on Value Chain of Taxi Fleet with Battery-Swapping Mode Using Multiobjective Genetic Algorithm

This paper presents an economic analysis model on value chain of taxi fleet with battery-swapping mode in a pilot city. In the model, economic benefits of charging-swapping station group, taxi company, and taxi driver in the region have been taken into consideration. Thus, the model is a multiobject...

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Vydané v:Mathematical Problems in Engineering Ročník 2012; číslo 2012; s. 704 - 718-044
Hlavní autori: Li, Yang, Wang, Peng, Zhen, Zijian, Ning, Guobao, Yin, Huaixian
Médium: Journal Article
Jazyk:English
Vydavateľské údaje: Cairo, Egypt Hindawi Limiteds 01.01.2012
Hindawi Publishing Corporation
John Wiley & Sons, Inc
Predmet:
Battery cycles
Business models
Chains
Construction costs
Cost benefit analysis
Economic analysis
Electric vehicles
Genetic algorithms
Infrastructure
Life cycle costs
Mathematical models
Modal choice
Multiple objective analysis
Optimization techniques
Packages
Pilots
R&D
Research & development
Studies
Taxicabs
Value analysis
China
ISSN:1024-123X, 1563-5147
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Shrnutí:This paper presents an economic analysis model on value chain of taxi fleet with battery-swapping mode in a pilot city. In the model, economic benefits of charging-swapping station group, taxi company, and taxi driver in the region have been taken into consideration. Thus, the model is a multiobjective function and multiobjective genetic algorithm is used to solve this problem. According to the real data collected from the pilot city, the multiobjective genetic algorithm is tested as an effective method to solve this problem. Furthermore, the effects of price of electricity, price of battery package, life cycle of battery package, cost of battery-swapping devices and infrastructure, and driving mileage per day on the benefits of value holders are analyzed, which provide theoretical and practical reference for the deployment of electric vehicles, for the national subsidy criteria adjusment, technological innovation instruction, commercial mode selection, and infrastructure construction.
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ISSN:1024-123X
1563-5147
DOI:10.1155/2012/175912