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Electric Vehicle Sharing Services for Smarter Cities

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Cover of 'Electric Vehicle Sharing Services for Smarter Cities'

Table of Contents

  1. Altmetric Badge
    Book Overview
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    Chapter 1 Introduction: Car-Sharing Evolution and Green Move Project
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    Chapter 2 Service Idea: Creating Mobility Scenarios Through Service Design
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    Chapter 3 Traditional and Innovative Vehicle-Sharing Models
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    Chapter 4 Analysis of Mobile Phone Data for Deriving City Mobility Patterns
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    Chapter 5 Analysis of Peer-to-Peer Car Sharing Potentialities
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    Chapter 6 Testing a New Model for a Sustainable Mobility in the City of Milan: The Condominium Car Sharing
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    Chapter 7 Communication Design for Social Engagement. Micro TV and the Integration of Branding and Storytelling into Participatory Processes
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    Chapter 8 Architecture of the Green Move System
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    Chapter 9 Green Move Dynamic Applications
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    Chapter 10 Context-Driven Pervasive and Personalized Information Management
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    Chapter 11 A Smartphone-Based Energy-Oriented Driving Assistance System
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    Chapter 12 Automatic Fleet Balancing in One-Way VSSs via Closed-Loop Dynamic Pricing
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    Chapter 13 Information System: Georeferenced Database
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    Chapter 14 The Evaluation Model: Estimation of Economic, Social and Environmental Impacts of Car Sharing Services
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    Chapter 15 Model of the O/D Matrix: Grid Driven Estimate of the O/D Matrices for a Car Sharing Service
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    Chapter 16 System Sizing Model—Simulation Model of the Service
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    Chapter 17 Conclusions and Future Trends: From Ownership to Sharing
Attention for Chapter 1: Introduction: Car-Sharing Evolution and Green Move Project
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Citations

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Chapter title
Introduction: Car-Sharing Evolution and Green Move Project
Chapter number 1
Book title
Electric Vehicle Sharing Services for Smarter Cities
Published by
Springer, Cham, January 2017
DOI 10.1007/978-3-319-61964-4_1
Book ISBNs
978-3-31-961963-7, 978-3-31-961964-4
Authors

Daniele Fabrizio Bignami, Alberto Colorni, Alessandro Luè, Roberto Nocerino, Matteo Rossi, Sergio Matteo Savaresi

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 6 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 6 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 2 33%
Student > Bachelor 1 17%
Student > Ph. D. Student 1 17%
Unknown 2 33%
Readers by discipline Count As %
Environmental Science 1 17%
Computer Science 1 17%
Economics, Econometrics and Finance 1 17%
Medicine and Dentistry 1 17%
Unknown 2 33%