Geospatial analysis to identify promising car parks for installing electric vehicle charge points
An Oxford case study
Bibliographic Data
| ID | 12294663 |
|---|---|
| Authors | Katherine A Collett (0000-0002-3946-4406, University of Oxford, corresponding author), Sivapriya Mothilal Bhagavathy (0000-0003-3200-4308, University of Oxford), Malcolm Mcculloch (0000-0001-5378-1128, University of Oxford), Malcolm D McCulloch |
| Year | 2022 |
| Volume | 101 |
| Pages | 103354-103354 |
| Publication date | 2022-05-01 |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Journal of Transport Geography (JOURNAL) |
| Journal identifiers | ISSN: 0966-6923 • E-ISSN: 1873-1236 |
| Publisher | Elsevier BV (PUBLISHER) |
| DOI | 10.1016/j.jtrangeo.2022.103354 |
| OpenAlex | W4280624687 |
| Language | EN |
| Citations received | 6 |
| References cited | 1 |
Historically in the UK, uptake of electric vehicles (EVs) has been dominated by those with off-street parking. In fact, a recent report by Deloitte found that nearly 90% of EV drivers currently charge privately. However, if we wish to meet the UK Government's targets of net zero by 2050 and no further sales of fully internal combustion engine vehicles after 2030, EV charging will need to be made accessible to those without driveways. Local Authorities and the companies they work with have a significant role to play in infrastructure planning to get ahead of the curve of accelerating EV uptake. This Visualising Transport Geography article investigates whether it is possible to identify locations for public EV chargers which may be more valuable to residents
Business · Charge (physics · Electric cars · Electric vehicle · Geography · Geospatial analysis · Government (linguistics · Installation · Physics · Transport engineering · Work (physics · Electric Vehicles and Infrastructure · Engineering · Transportation and Mobility Innovations · Urban Transport and Accessibility · Automotive Engineering
Identifying optimal locations for community electric vehicle charging
GIS-based geospatial analysis for identifying optimal locations of residential on-street electric vehicle charging points in Birmingham, UK
The spatio-temporal relationship between electric vehicle charging demand and land use
Affluence, Spatial Spillovers, and Inequality in Household Energy Transitions
Revisiting electric vehicle charging station accessibility
Evaluating the readiness for electric vehicle adoption among the urban population using geospatial techniques
| Citations per year | 2 |
|---|---|
| Citation span | 2023 - 2026 (4) |
| Highly cited | No |