(Created page with " == Abstract == Over the last few years, electric vehicles (EVs) have turned into viable urban transportation alternatives. Charging infrastructure is an issue, since high in...")
 
m (Scipediacontent moved page Draft Content 208252241 to Takiya et al 2020a)
 
(No difference)

Latest revision as of 14:22, 12 February 2021

Abstract

Over the last few years, electric vehicles (EVs) have turned into viable urban transportation alternatives. Charging infrastructure is an issue, since high investment is needed and there is a lot of demand uncertainty. Seeking to fill gaps in past studies, this investigation proposes a set of procedures to identify the most adequate places for implementing the EV charging infrastructure. In order to identify the most favorable districts for the installation and operation of electric charging infrastructure in São Paulo city, the following public available information was considered: the density of points of interest (POIs), distribution of the average monthly per capita income, and number of daily trips made by transportation mode. The current electric vehicle charging network and most important business corridors were additionally taken into account. The investigation shows that districts with the largest demand for charging stations are located in the central area, where the population also exhibits the highest purchasing power. The charging station location process can be applied to other cities, and it is possible to use additional variables to measure social inequality.

Document type: Article

Full document

The PDF file did not load properly or your web browser does not support viewing PDF files. Download directly to your device: Download PDF document

Original document

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

https://doaj.org/toc/2071-1050 under the license cc-by
https://www.mdpi.com/2071-1050/12/16/6324/pdf,
https://ideas.repec.org/a/gam/jsusta/v12y2020i16p6324-d395219.html,
https://www.scilit.net/article/a532b18f84dff9975b6923aa212d2c95,
https://academic.microsoft.com/#/detail/3047024701
http://dx.doi.org/10.3390/su12166324
under the license https://creativecommons.org/licenses/by/4.0/
Back to Top

Document information

Published on 01/01/2020

Volume 2020, 2020
DOI: 10.3390/su12166324
Licence: Other

Document Score

0

Views 9
Recommendations 0

Share this document

claim authorship

Are you one of the authors of this document?