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Locating residential on-street electric vehicle charging infrastructure: a practical methodology

Locating residential on-street electric vehicle charging infrastructure: a practical methodology
Locating residential on-street electric vehicle charging infrastructure: a practical methodology
Depending on the method of electricity generation, mass-market penetration of electric vehicles has the potential to reduce emissions of greenhouse gases and air pollutants considerably, and to reduce dependency on fossil fuels. This paper presents a novel methodology for Local Government Authorities (LGAs) to identify suitable locations for the initial provision of residential on-street Plug-in Electric Vehicle (PEV) charging infrastructure in urban areas to help remove barriers to PEV uptake. The methodology is practical for use by LGAs with limited financial resources as it is based on simple Geographic Information System (GIS) analysis of routinely available census and parking data to identify the spatial overlaps between areas where residents are most likely to be PEV users and areas where there is a high reliance on residential on-street parking. The methodology has been implemented in practice to determine a charging infrastructure installation strategy for Southampton, UK, where 128 streets (out of 1,924 in total) were recommended as suitable locations. These streets were reviewed by a group of experts during a workshop and confirmed as suitable locations for the initial installation of residential on-street charge points in the city.
1361-9209
15-27
Grote, Matthew
f29566f9-42a7-498a-9671-8661a4287754
Preston, Jonathan
ef81c42e-c896-4768-92d1-052662037f0b
Cherrett, Thomas
e5929951-e97c-4720-96a8-3e586f2d5f95
Tuck, Neil
ffa045f2-9d39-42be-8946-cce21a146f6b
Grote, Matthew
f29566f9-42a7-498a-9671-8661a4287754
Preston, Jonathan
ef81c42e-c896-4768-92d1-052662037f0b
Cherrett, Thomas
e5929951-e97c-4720-96a8-3e586f2d5f95
Tuck, Neil
ffa045f2-9d39-42be-8946-cce21a146f6b

Grote, Matthew, Preston, Jonathan, Cherrett, Thomas and Tuck, Neil (2019) Locating residential on-street electric vehicle charging infrastructure: a practical methodology. Transportation Research Part D: Transport and Environment, 74, 15-27. (doi:10.1016/j.trd.2019.07.017).

Record type: Article

Abstract

Depending on the method of electricity generation, mass-market penetration of electric vehicles has the potential to reduce emissions of greenhouse gases and air pollutants considerably, and to reduce dependency on fossil fuels. This paper presents a novel methodology for Local Government Authorities (LGAs) to identify suitable locations for the initial provision of residential on-street Plug-in Electric Vehicle (PEV) charging infrastructure in urban areas to help remove barriers to PEV uptake. The methodology is practical for use by LGAs with limited financial resources as it is based on simple Geographic Information System (GIS) analysis of routinely available census and parking data to identify the spatial overlaps between areas where residents are most likely to be PEV users and areas where there is a high reliance on residential on-street parking. The methodology has been implemented in practice to determine a charging infrastructure installation strategy for Southampton, UK, where 128 streets (out of 1,924 in total) were recommended as suitable locations. These streets were reviewed by a group of experts during a workshop and confirmed as suitable locations for the initial installation of residential on-street charge points in the city.

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Locating residential on-street CPs - Accepted Manuscript
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Accepted/In Press date: 18 July 2019
e-pub ahead of print date: 25 July 2019
Published date: September 2019

Identifiers

Local EPrints ID: 432946
URI: http://eprints.soton.ac.uk/id/eprint/432946
ISSN: 1361-9209
PURE UUID: 663f1fd4-c5fc-4db0-bdf4-d631b6d815f9
ORCID for Matthew Grote: ORCID iD orcid.org/0000-0001-5590-7150
ORCID for Jonathan Preston: ORCID iD orcid.org/0000-0002-6866-049X
ORCID for Thomas Cherrett: ORCID iD orcid.org/0000-0003-0394-5459

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Date deposited: 01 Aug 2019 16:30
Last modified: 17 Mar 2024 02:41

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Contributors

Author: Matthew Grote ORCID iD
Author: Thomas Cherrett ORCID iD
Author: Neil Tuck

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