Title
Fast charging stations placement methodology for electric taxis in urban zones
Date Issued
01 December 2019
Access level
metadata only access
Resource Type
journal article
Author(s)
Universidad Federal del ABC
Publisher(s)
Elsevier Ltd
Abstract
In recent years, as a policy to increase penetration of electric vehicles and reduce air pollution, the number of electric taxis has increased in the transportation networks. In contrast to private electric vehicles, electric taxis need to recharge in a short time due to their constant operation and different driving patterns. Therefore, fast charging stations are required to meet the demand for recharging electric taxis and should be located at strategic places. To improve the sustainable planning of urban infrastructures, this paper presents a methodology to help in decision making for installing fast charging stations, considering the criteria of all urban planners involved in the installation process. The result of the proposal is a spatial database that identifies locations for charging stations that meet the predefined criteria. Such database can be visualized in geographic information systems of the urban planning department or the electrical service concessionaire. The proposed methodology is tested in a Brazilian medium-sized city showing the importance of this information in decision making. The proposal is compared with another spatial methodology, showing that the proposed method creates a better spatial distribution of charging stations giving better options for the main agents interested in the city.
Volume
188
Language
English
OCDE Knowledge area
PlanificaciĂ³n del transporte y aspectos sociales del transporte
Arquitectura y urbanismo
Subjects
Scopus EID
2-s2.0-85071857747
Source
Energy
ISSN of the container
03605442
Source funding
FundaĂƒÂ§ĂƒÂ£o de Amparo Ăƒ Pesquisa do Estado de SĂƒÂ£o Paulo
Sponsor(s)
This study was financed by CoordenaĂ§Ă£o de Aperfeiçoamento de Pessoal de NĂvel Superior - Brazil (CAPES) - Finance Code 001 ; by SĂ£o Paulo Research Foundation - Brazil (FAPESP) under grants: 2015/21972-6 , 2017/01909-3 , 2017/22577-9 , 2019/00466-6 ; by Conselho Nacional de Desenvolvimento CientĂfico e TecnolĂ³gico -Brazil (CNPq) under grant: 307281/2016-7 , 422044/2018-0 and by Instituto Nacional de CiĂªncia e Tecnologia de Energia ElĂ©trica - Brazil (INCT-INERGE) .
This study was financed by Coordena??o de Aperfei?oamento de Pessoal de N?vel Superior - Brazil (CAPES) - Finance Code 001; by S?o Paulo Research Foundation - Brazil (FAPESP) under grants: 2015/21972-6, 2017/01909-3, 2017/22577-9, 2019/00466-6; by Conselho Nacional de Desenvolvimento Cient?fico e Tecnol?gico -Brazil (CNPq) under grant: 307281/2016-7, 422044/2018-0 and by Instituto Nacional de Ci?ncia e Tecnologia de Energia El?trica - Brazil (INCT-INERGE). The authors gratefully acknowledge Professor Dr. Humberto de Paiva Junior for his support with traffic simulation methods.
Sources of information:
Directorio de ProducciĂ³n CientĂfica
Scopus