Fast charging stations placement methodology for electric taxis in urban zones
Main Author: | |
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Publication Date: | 2019 |
Other Authors: | , , |
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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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 |
_version_ |
1834483837227237376 |