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Conference Paper/Proceeding/Abstract 698 views 224 downloads

Smart data-harnessing for financial value in short-term hire electric car schemes

Peter Cooper, Tom Crick Orcid Logo, Theo Tryfonas

Proceedings of 10th System of Systems Engineering Conference, Pages: 374 - 379

Swansea University Author: Tom Crick Orcid Logo

DOI (Published version): 10.1109/SYSOSE.2015.7151928

Abstract

In the developed world, two distinct trends are emerging to shake-up the current dominance of privately-owned, combustion motor car transport. The first is the emergence of the electric powertrain for vehicles as an affordable and massmarketed means of transport. This carries with it the potential t...

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Published in: Proceedings of 10th System of Systems Engineering Conference
ISBN: 978-1-4799-7611-9
Published: San Antonio, TX, USA IEEE 2015
Online Access: https://ieeexplore.ieee.org/document/7151928/
URI: https://cronfa.swan.ac.uk/Record/cronfa43384
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spelling 2022-12-18T17:43:42.8540430 v2 43384 2018-08-14 Smart data-harnessing for financial value in short-term hire electric car schemes 200c66ef0fc55391f736f6e926fb4b99 0000-0001-5196-9389 Tom Crick Tom Crick true false 2018-08-14 EDUC In the developed world, two distinct trends are emerging to shake-up the current dominance of privately-owned, combustion motor car transport. The first is the emergence of the electric powertrain for vehicles as an affordable and massmarketed means of transport. This carries with it the potential to address many of the immediate shortcomings of the current paradigm, especially CO2 emissions, air and noise pollution. The second is the rise of new hire models of car ownership - the concept of paying for the use of a car as and when you need it. This carries with it the potential to address many of the existing issues: outlay-induced car use, residential parking and social division. On a similar timescale, we are witnessing the rise of smart technologies and smart cities, concepts that use data about the state of a system or elements of it to create value. There have been relatively few examples of schemes that have combined the electric and hire-model concepts, despite the huge potential for synergy. Indeed, the majority is against them on both counts -- cars are predominantly privately-owned and driven by internal combustion engines. Nevertheless, there is significant potential for this to change over the coming years. Conference Paper/Proceeding/Abstract Proceedings of 10th System of Systems Engineering Conference 374 379 IEEE San Antonio, TX, USA 978-1-4799-7611-9 17 5 2015 2015-05-17 10.1109/SYSOSE.2015.7151928 https://ieeexplore.ieee.org/document/7151928/ 10th System of Systems Engineering Conference (SoSE 2015) COLLEGE NANME Education COLLEGE CODE EDUC Swansea University 2022-12-18T17:43:42.8540430 2018-08-14T15:44:58.9238653 Faculty of Humanities and Social Sciences School of Social Sciences - Education and Childhood Studies Peter Cooper 1 Tom Crick 0000-0001-5196-9389 2 Theo Tryfonas 3 0043384-02092018074044.pdf sose2015.pdf 2018-09-02T07:40:44.1200000 Output 353602 application/pdf Accepted Manuscript true 2018-09-02T00:00:00.0000000 true eng
title Smart data-harnessing for financial value in short-term hire electric car schemes
spellingShingle Smart data-harnessing for financial value in short-term hire electric car schemes
Tom Crick
title_short Smart data-harnessing for financial value in short-term hire electric car schemes
title_full Smart data-harnessing for financial value in short-term hire electric car schemes
title_fullStr Smart data-harnessing for financial value in short-term hire electric car schemes
title_full_unstemmed Smart data-harnessing for financial value in short-term hire electric car schemes
title_sort Smart data-harnessing for financial value in short-term hire electric car schemes
author_id_str_mv 200c66ef0fc55391f736f6e926fb4b99
author_id_fullname_str_mv 200c66ef0fc55391f736f6e926fb4b99_***_Tom Crick
author Tom Crick
author2 Peter Cooper
Tom Crick
Theo Tryfonas
format Conference Paper/Proceeding/Abstract
container_title Proceedings of 10th System of Systems Engineering Conference
container_start_page 374
publishDate 2015
institution Swansea University
isbn 978-1-4799-7611-9
doi_str_mv 10.1109/SYSOSE.2015.7151928
publisher IEEE
college_str Faculty of Humanities and Social Sciences
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hierarchy_top_id facultyofhumanitiesandsocialsciences
hierarchy_top_title Faculty of Humanities and Social Sciences
hierarchy_parent_id facultyofhumanitiesandsocialsciences
hierarchy_parent_title Faculty of Humanities and Social Sciences
department_str School of Social Sciences - Education and Childhood Studies{{{_:::_}}}Faculty of Humanities and Social Sciences{{{_:::_}}}School of Social Sciences - Education and Childhood Studies
url https://ieeexplore.ieee.org/document/7151928/
document_store_str 1
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description In the developed world, two distinct trends are emerging to shake-up the current dominance of privately-owned, combustion motor car transport. The first is the emergence of the electric powertrain for vehicles as an affordable and massmarketed means of transport. This carries with it the potential to address many of the immediate shortcomings of the current paradigm, especially CO2 emissions, air and noise pollution. The second is the rise of new hire models of car ownership - the concept of paying for the use of a car as and when you need it. This carries with it the potential to address many of the existing issues: outlay-induced car use, residential parking and social division. On a similar timescale, we are witnessing the rise of smart technologies and smart cities, concepts that use data about the state of a system or elements of it to create value. There have been relatively few examples of schemes that have combined the electric and hire-model concepts, despite the huge potential for synergy. Indeed, the majority is against them on both counts -- cars are predominantly privately-owned and driven by internal combustion engines. Nevertheless, there is significant potential for this to change over the coming years.
published_date 2015-05-17T03:54:38Z
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score 11.037056

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