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Electric vehicles in shared fleets = mobility management, business models, and decision support systems /

Record Type:	Electronic resources : Monograph/item
Title/Author:	Electric vehicles in shared fleets/ editors, Kenan Degirmenci, Thomas M. Cerbe, Wolfgang E. Pfau.
Reminder of title:	mobility management, business models, and decision support systems /
other author:	Degirmenci, Kenan.
Published:	London :World Scientific Publishing Europe, : c2022.,
Description:	1 online resource (296 p.)
[NT 15003449]:	Introduction -- Mobility management and electrification of shared fleets. Vehicle electrification in carsharing and transportation network company (TNC) fleets: current and future trends -- Technology and challenges with fleet grid integration -- The role of shared fleets in multimodal mobility solutions: service diversity, infrastructure, and customer preferences -- Business model management in electrified shared fleets. Converging sectors: business model management within the multimodal e-carsharing market -- Business model analysis and a life cycle oriented portfolio approach for the management of value-added services on the example of electric and autonomous carsharing -- Business model development for autonomous electric vehicles in shared fleets in multinational original equipment manufacturers (OEMs) -- Business model change through autonomous shared fleets for transportation and logistic businesses -- Decision support systems for optimizing shared electric vehicles. Station-based electric carsharing: a decision support system for network generation -- Anatomy of vehicle relocation problems in (e-)carsharing -- Adapting user-based relocation for e-carsharing -- Applying data reduction methods to battery degradation prediction models for electric vehicles.
Subject:	Motor vehicle fleets. -
Online resource:	https://www.worldscientific.com/worldscibooks/10.1142/q0337#t=toc
ISBN:	9781800611429

Electric vehicles in shared fleets = mobility management, business models, and decision support systems /
Electric vehicles in shared fleetsmobility management, business models, and decision support systems /[electronic resource] :editors, Kenan Degirmenci, Thomas M. Cerbe, Wolfgang E. Pfau. - London :World Scientific Publishing Europe,c2022. - 1 online resource (296 p.)

Includes bibliographical references and index.

Introduction -- Mobility management and electrification of shared fleets. Vehicle electrification in carsharing and transportation network company (TNC) fleets: current and future trends -- Technology and challenges with fleet grid integration -- The role of shared fleets in multimodal mobility solutions: service diversity, infrastructure, and customer preferences -- Business model management in electrified shared fleets. Converging sectors: business model management within the multimodal e-carsharing market -- Business model analysis and a life cycle oriented portfolio approach for the management of value-added services on the example of electric and autonomous carsharing -- Business model development for autonomous electric vehicles in shared fleets in multinational original equipment manufacturers (OEMs) -- Business model change through autonomous shared fleets for transportation and logistic businesses -- Decision support systems for optimizing shared electric vehicles. Station-based electric carsharing: a decision support system for network generation -- Anatomy of vehicle relocation problems in (e-)carsharing -- Adapting user-based relocation for e-carsharing -- Applying data reduction methods to battery degradation prediction models for electric vehicles.

"The electrification of shared fleets offers numerous benefits, including the reduction of local emissions of pollutants, which leads to ecological improvements such as the improvement of air quality. Electric Vehicles in Shared Fleets considers a holistic concept for a socio-technical system with a focus on three core areas: integrated mobility solutions, business models for economic viability, and information systems that support decision-making for the successful implementation and operation of electric vehicles in shared fleets. In this book, we examine different aspects within these areas including multimodal mobility, grid integration of electric vehicles, shared autonomous electric vehicle services, relocation strategies in shared fleets, and the challenge of battery life of electric vehicles. Insights to the future of transport are provided, which is predicted to be shared, autonomous, and electric. This will require the expansion of the charging infrastructure to provide adequate premises for the electrification of transportation and to create market demand"--

Mode of access: World Wide Web.

ISBN: 9781800611429Subjects--Topical Terms:

3674720
Motor vehicle fleets.

LC Class. No.: TL165 / .E443 2022

Dewey Class. No.: 388.3/4

Electric vehicles in shared fleets = mobility management, business models, and decision support systems /
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050 0 4 $a TL165 $b .E443 2022
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245 0 0 $a Electric vehicles in shared fleets $h [electronic resource] : $b mobility management, business models, and decision support systems / $c editors, Kenan Degirmenci, Thomas M. Cerbe, Wolfgang E. Pfau.
260 $a London : $b World Scientific Publishing Europe, $c c2022.
300 $a 1 online resource (296 p.)
504 $a Includes bibliographical references and index.
505 0 $a Introduction -- Mobility management and electrification of shared fleets. Vehicle electrification in carsharing and transportation network company (TNC) fleets: current and future trends -- Technology and challenges with fleet grid integration -- The role of shared fleets in multimodal mobility solutions: service diversity, infrastructure, and customer preferences -- Business model management in electrified shared fleets. Converging sectors: business model management within the multimodal e-carsharing market -- Business model analysis and a life cycle oriented portfolio approach for the management of value-added services on the example of electric and autonomous carsharing -- Business model development for autonomous electric vehicles in shared fleets in multinational original equipment manufacturers (OEMs) -- Business model change through autonomous shared fleets for transportation and logistic businesses -- Decision support systems for optimizing shared electric vehicles. Station-based electric carsharing: a decision support system for network generation -- Anatomy of vehicle relocation problems in (e-)carsharing -- Adapting user-based relocation for e-carsharing -- Applying data reduction methods to battery degradation prediction models for electric vehicles.
520 $a "The electrification of shared fleets offers numerous benefits, including the reduction of local emissions of pollutants, which leads to ecological improvements such as the improvement of air quality. Electric Vehicles in Shared Fleets considers a holistic concept for a socio-technical system with a focus on three core areas: integrated mobility solutions, business models for economic viability, and information systems that support decision-making for the successful implementation and operation of electric vehicles in shared fleets. In this book, we examine different aspects within these areas including multimodal mobility, grid integration of electric vehicles, shared autonomous electric vehicle services, relocation strategies in shared fleets, and the challenge of battery life of electric vehicles. Insights to the future of transport are provided, which is predicted to be shared, autonomous, and electric. This will require the expansion of the charging infrastructure to provide adequate premises for the electrification of transportation and to create market demand"-- $c Provided by publisher.
538 $a Mode of access: World Wide Web.
538 $a System requirements: Adobe Acrobat reader.
588 $a Description based on print version record.
650 0 $a Motor vehicle fleets. $3 3674720
650 0 $a Electric vehicles. $3 1613392
700 1 $a Degirmenci, Kenan. $3 3674717
700 1 $a Cerbe, Thomas M. $3 3674718
700 1 $a Pfau, Wolfgang, $d 1959- $3 3674719
856 4 0 $u https://www.worldscientific.com/worldscibooks/10.1142/q0337#t=toc