Eine Plattform für die Wissenschaft: Bauingenieurwesen, Architektur und Urbanistik
Eine Plattform für die Wissenschaft: Bauingenieurwesen, Architektur und Urbanistik
Fast charging stations placement methodology for electric taxis in urban zones
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) ; CAPES: 001 ; Processo FAPESP: 2015/21972-6 ; Processo FAPESP: 2017/01909-3 ; Processo FAPESP: 2017/22577-9 ; Processo FAPESP: 2019/00466-6 ; CNPq: 307281/2016-7 ; CNPq: 422044/2018-0 ; 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.
Fast charging stations placement methodology for electric taxis in urban zones
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) ; CAPES: 001 ; Processo FAPESP: 2015/21972-6 ; Processo FAPESP: 2017/01909-3 ; Processo FAPESP: 2017/22577-9 ; Processo FAPESP: 2019/00466-6 ; CNPq: 307281/2016-7 ; CNPq: 422044/2018-0 ; 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.
Fast charging stations placement methodology for electric taxis in urban zones
Morro-Mello, Igoor (Autor:in) / Padilha-Feltrin, Antonio (Autor:in) / Melo, Joel D. (Autor:in) / Calviño, Aida (Autor:in) / Universidade Estadual Paulista (UNESP)
01.12.2019
2-s2.0-85071857747
Aufsatz (Zeitschrift)
Elektronische Ressource
Englisch
DDC:
720
Location Selection of Charging Stations for Electric Taxis: A Bangkok Case
| DOAJ | 2022
Determining locations of charging stations for electric taxis using taxi operation data
| Taylor & Francis Verlag | 2017
Determining locations of charging stations for electric taxis using taxi operation data
| Online Contents | 2017
Wireless Charging of Electric Taxis: Understanding the Facilitators and Barriers to Its Introduction
| DOAJ | 2020