(Created page with " == Abstract == In this study we developed models in order to predict the need for public charging points. These models give municipalities an insight into various environmen...")
 
m (Scipediacontent moved page Draft Content 539122651 to Montfort et al 2016a)
 
(No difference)

Latest revision as of 09:46, 8 February 2021

Abstract

In this study we developed models in order to predict the need for public charging points. These models give municipalities an insight into various environmental and consumer related factors that determine the need for public charging points for electric vehicles in the neighbourhood. These factors include, amongst others, the average gross monthly income of households in a certain neighbourhood and the overall number of cars in a certain neighbourhood. On the basis of the models it turns out, among other factors, that neighbourhoods with households with a relatively high average gross monthly income, and a relatively high number of cars, need a relatively large number of public charging points for electric vehicles.


Original document

The different versions of the original document can be found in:

http://dx.doi.org/10.1049/cp.2016.0984
http://www.scopus.com/inward/record.url?scp=85013304589&partnerID=8YFLogxK
https://digital-library.theiet.org/content/conferences/10.1049/cp.2016.0984,
https://www.hbo-kennisbank.nl/details/amsterdam_pure:oai:pure.hva.nl:publications%2F5ae94d6a-2c5c-4ef3-bde8-c01199c1df03,
https://core.ac.uk/display/98248554,
https://academic.microsoft.com/#/detail/2586390412
Back to Top

Document information

Published on 31/12/15
Accepted on 31/12/15
Submitted on 31/12/15

Volume 2016, 2016
DOI: 10.1049/cp.2016.0984
Licence: CC BY-NC-SA license

Document Score

0

Views 1
Recommendations 0

Share this document

claim authorship

Are you one of the authors of this document?