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Electric Vehicle Business Models

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Cover of 'Electric Vehicle Business Models'

Table of Contents

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    Book Overview
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    Chapter 1 EV Business Models in a Wider Context: Balancing Change and Continuity in the Automotive Industry
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    Chapter 2 Four Business Models for a Fast Commercialization of Plug-in Cars
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    Chapter 3 Electrification of the Powertrain in Automotive Applications: “Technology Push” or “Market Pull”?
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    Chapter 4 Identification of Market Models and Associated Billing Strategies for the Provision of EV Charging Services
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    Chapter 5 Business Case for EV Charging on the Motorway Network in Denmark
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    Chapter 6 Pricing Plug-in Electric Vehicle Recharging in Multi-unit Dwellings: Financial Viability and Fueling Costs
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    Chapter 7 Solutions and Business Models for Wireless Charging of Electric Vehicles
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    Chapter 8 Electric Vehicles as Grid Support
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    Chapter 9 Energy Efficiency in Electric and Plug-in Hybrid Electric Vehicles and Its Impact on Total Cost of Ownership
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    Chapter 10 Evolution of E-Mobility in Carsharing Business Models
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    Chapter 11 Personalized Total Cost of Ownership and Range-Capability Assessment as an EV Sales Accelerator
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    Chapter 12 Business Models for Electric Vehicles: Lessons from the Japanese EV Ecosystem
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    Chapter 13 Orchestrating Ecosystem Co-opetition: Case Studies on the Business Models of the EV Demonstration Programme in China
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    Chapter 14 EVs to Reduce Dependence on Imported Oil: Challenges and Lessons from Maui
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    Chapter 15 Charging up Chile: Enabling Shared, Electric Mobility in an Emerging Market
Attention for Chapter 10: Evolution of E-Mobility in Carsharing Business Models
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Citations

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Chapter title
Evolution of E-Mobility in Carsharing Business Models
Chapter number 10
Book title
Electric Vehicle Business Models
Published by
Springer, Cham, January 2015
DOI 10.1007/978-3-319-12244-1_10
Book ISBNs
978-3-31-912243-4, 978-3-31-912244-1
Authors

Susan A. Shaheen, Nelson D. Chan

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 59 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 59 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 18 31%
Student > Ph. D. Student 8 14%
Researcher 7 12%
Student > Doctoral Student 4 7%
Professor 4 7%
Other 5 8%
Unknown 13 22%
Readers by discipline Count As %
Engineering 18 31%
Business, Management and Accounting 9 15%
Economics, Econometrics and Finance 3 5%
Design 2 3%
Computer Science 2 3%
Other 8 14%
Unknown 17 29%