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Fast charging stations placement methodology for electric taxis in urban zones

Bibliographic Details
Main Author: Morro-Mello, Igoor [UNESP]
Publication Date: 2019
Other Authors: Padilha-Feltrin, Antonio [UNESP], Melo, Joel D., Calviño, Aida
Format: Article
Language: eng
Source: Repositório Institucional da UNESP
Download full: http://dx.doi.org/10.1016/j.energy.2019.116032
http://hdl.handle.net/11449/190632
Summary: 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.
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spelling Fast charging stations placement methodology for electric taxis in urban zonesCharging stationsElectric taxisGeospatial analysisSustainable planning policiesTransportation networksUrban infrastructuresIn 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.Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)Universidade Estadual Paulista (UNESP)Universidade Federal do ABC (UFABC)Dept. of Statistics and Data Science Complutense University of MadridUniversidade Estadual Paulista (UNESP)CAPES: 001FAPESP: 2015/21972-6FAPESP: 2017/01909-3FAPESP: 2017/22577-9FAPESP: 2019/00466-6CNPq: 307281/2016-7CNPq: 422044/2018-0Universidade Estadual Paulista (Unesp)Universidade Federal do ABC (UFABC)Complutense University of MadridMorro-Mello, Igoor [UNESP]Padilha-Feltrin, Antonio [UNESP]Melo, Joel D.Calviño, Aida2019-10-06T17:19:40Z2019-10-06T17:19:40Z2019-12-01info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articlehttp://dx.doi.org/10.1016/j.energy.2019.116032Energy, v. 188.0360-5442http://hdl.handle.net/11449/19063210.1016/j.energy.2019.1160322-s2.0-85071857747Scopusreponame:Repositório Institucional da UNESPinstname:Universidade Estadual Paulista (UNESP)instacron:UNESPengEnergyinfo:eu-repo/semantics/openAccess2024-07-04T19:06:47Zoai:repositorio.unesp.br:11449/190632Repositório InstitucionalPUBhttp://repositorio.unesp.br/oai/requestrepositoriounesp@unesp.bropendoar:29462024-07-04T19:06:47Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)false
dc.title.none.fl_str_mv Fast charging stations placement methodology for electric taxis in urban zones
title Fast charging stations placement methodology for electric taxis in urban zones
spellingShingle Fast charging stations placement methodology for electric taxis in urban zones
Morro-Mello, Igoor [UNESP]
Charging stations
Electric taxis
Geospatial analysis
Sustainable planning policies
Transportation networks
Urban infrastructures
title_short Fast charging stations placement methodology for electric taxis in urban zones
title_full Fast charging stations placement methodology for electric taxis in urban zones
title_fullStr Fast charging stations placement methodology for electric taxis in urban zones
title_full_unstemmed Fast charging stations placement methodology for electric taxis in urban zones
title_sort Fast charging stations placement methodology for electric taxis in urban zones
author Morro-Mello, Igoor [UNESP]
author_facet Morro-Mello, Igoor [UNESP]
Padilha-Feltrin, Antonio [UNESP]
Melo, Joel D.
Calviño, Aida
author_role author
author2 Padilha-Feltrin, Antonio [UNESP]
Melo, Joel D.
Calviño, Aida
author2_role author
author
author
dc.contributor.none.fl_str_mv Universidade Estadual Paulista (Unesp)
Universidade Federal do ABC (UFABC)
Complutense University of Madrid
dc.contributor.author.fl_str_mv Morro-Mello, Igoor [UNESP]
Padilha-Feltrin, Antonio [UNESP]
Melo, Joel D.
Calviño, Aida
dc.subject.por.fl_str_mv Charging stations
Electric taxis
Geospatial analysis
Sustainable planning policies
Transportation networks
Urban infrastructures
topic Charging stations
Electric taxis
Geospatial analysis
Sustainable planning policies
Transportation networks
Urban infrastructures
description 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.
publishDate 2019
dc.date.none.fl_str_mv 2019-10-06T17:19:40Z
2019-10-06T17:19:40Z
2019-12-01
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://dx.doi.org/10.1016/j.energy.2019.116032
Energy, v. 188.
0360-5442
http://hdl.handle.net/11449/190632
10.1016/j.energy.2019.116032
2-s2.0-85071857747
url http://dx.doi.org/10.1016/j.energy.2019.116032
http://hdl.handle.net/11449/190632
identifier_str_mv Energy, v. 188.
0360-5442
10.1016/j.energy.2019.116032
2-s2.0-85071857747
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv Energy
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.source.none.fl_str_mv Scopus
reponame:Repositório Institucional da UNESP
instname:Universidade Estadual Paulista (UNESP)
instacron:UNESP
instname_str Universidade Estadual Paulista (UNESP)
instacron_str UNESP
institution UNESP
reponame_str Repositório Institucional da UNESP
collection Repositório Institucional da UNESP
repository.name.fl_str_mv Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)
repository.mail.fl_str_mv repositoriounesp@unesp.br
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