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A publicação pode ser exportada nos seguintes formatos: referência da APA (American Psychological Association), referência do IEEE (Institute of Electrical and Electronics Engineers), BibTeX e RIS.

Exportar Referência (APA) 
Costa, E., Arthur Paiva, Julia Seixas, Gustavo Costa, Patricia Baptista & Brian O Gallachoir (2018). Spatial Planning of Electric Vehicle Infrastructure for Belo Horizonte, Brazil. Journal of Advanced Transportation. 2018, 1-16
Exportar Referência (IEEE) 
J. E. Costa et al.,  "Spatial Planning of Electric Vehicle Infrastructure for Belo Horizonte, Brazil", in Journal of Advanced Transportation, vol. 2018, pp. 1-16, 2018
Exportar BibTeX 
@article{costa2018_1744065591327,
	author = "Costa, E. and Arthur Paiva and Julia Seixas and Gustavo Costa and Patricia Baptista and Brian O Gallachoir",
	title = "Spatial Planning of Electric Vehicle Infrastructure for Belo Horizonte, Brazil",
	journal = "Journal of Advanced Transportation",
	year = "2018",
	volume = "2018",
	number = "",
	doi = "10.1155/2018/8923245",
	pages = "1-16",
	url = "https://www.hindawi.com/journals/jat/2018/8923245/"
}
Exportar RIS 
TY  - JOUR
TI  - Spatial Planning of Electric Vehicle Infrastructure for Belo Horizonte, Brazil
T2  - Journal of Advanced Transportation
VL  - 2018
AU  - Costa, E.
AU  - Arthur Paiva
AU  - Julia Seixas
AU  - Gustavo Costa
AU  - Patricia Baptista
AU  - Brian O Gallachoir
PY  - 2018
SP  - 1-16
SN  - 0197-6729
DO  - 10.1155/2018/8923245
UR  - https://www.hindawi.com/journals/jat/2018/8923245/
AB  - In pursuit of a more sustainable transportation system, electric vehicles (EVs) have the potential to play a fundamental role due to their improved efficiency and lower emissions. The absence of an adequate electric vehicle supply equipment (EVSE) network has been one of the major obstacles for the mass adoption of EV, in large municipalities of developing countries. This is the case in Belo Horizonte (BH), Brazil, which also has a high motorization rate (7 light-duty vehicles per 10 inhabitants). The purpose of this study is to measure and identify the optimal locations for EVSE according to selected criteria to meet the needs of light-duty electric vehicles (LDEV) corresponding to a penetration of 1% by 2025 in the municipality of BH. The study highlights the most important attributes that need to be considered for the installation of an EVSE network in an urban space for a developing country. Multi-Criteria Decision Making (MCDM), the Weighted Linear Combination (WLC) method, and the Analytical Hierarchy Process (AHP) technique based on the inputs from a group of Brazilian electrical mobility specialists, coupled with a Geographic Information System (GIS) modeling tool, were used for this study. The results revealed that around 1,200 EVSE units are needed, with a large concentration of EVSE in a small region. We also illustrate where stakeholders should focus their attention for the successful promotion of EV. The development methodology has the potential to be applied in other future EVSE development projects.
ER  -