Details
Name
Maria Clara VazCluster
Industrial and Systems EngineeringRole
External Research CollaboratorSince
01st March 2014
Nationality
PortugalCentre
Industrial Engineering and ManagementContacts
+351 22 209 4190
maria.c.vaz@inesctec.pt
2021
Authors
Gruetzmacher, SB; Vaz, CB; Ferreira, ÂP;
Publication
Communications in Computer and Information Science
Abstract
Based in the current growth rate of metropolitan areas, providing infrastructures and services to allow the safe, quick and sustainable mobility of people and goods, is increasingly challenging. The European Union has been promoting diverse initiatives towards sustainable transport development and environment protection by setting targets for changes in the sector, as those proposed in the 2011 White Paper on transport. Under this context, this study aims at evaluating the environmental performance of the transport sector in the 28 European Union countries, from 2015 to 2017, towards the policy agenda established in strategic documents. The assessment of the transport environmental performance was made through the aggregation of seven sub-indicators into a composite indicator using a Data Envelopment Analysis approach. The model used to determine the weights to aggregate the sub-indicators is based on a variant of the Benefit of the Doubt model with virtual proportional weights restrictions. The results indicate that, overall, the European Union countries had almost no variation on its transport environmental performance during the time span under analysis. The inefficient countries can improve the transport sustainability mainly by drastically reducing the greenhouse gas emissions from fossil fuels combustion, increasing the share of freight transport that uses rail and waterways and also the share of transport energy from renewable sources. © 2021, Springer Nature Switzerland AG.
2021
Authors
Gruetzmacher, SB; Vaz, CB; Ferreira, ÂP;
Publication
Communications in Computer and Information Science - Optimization, Learning Algorithms and Applications
Abstract
2021
Authors
Gruetzmacher, SB; Bento Vaz, C; Ferreira, Â;
Publication
Revista Facultad de Ingeniería Universidad de Antioquia
Abstract
2021
Authors
Vaz, FJA; Vaz, CB; Cadinha, LCD;
Publication
Communications in Computer and Information Science - Optimization, Learning Algorithms and Applications
Abstract
2021
Authors
Gruetzmacher, SB; Vaz, CB; Ferreira, AP;
Publication
COMPUTATIONAL SCIENCE AND ITS APPLICATIONS, ICCSA 2021, PT V
Abstract
The transport sector of the European Union is the only sector of the economy that has been increasing its emissions since 2014. To reduce the use of fossil fuels and achieve the greenhouse gas emissions mitigation target, many countries are focusing on the deployment of electric vehicles. This paper aims at analysing recent literature on the deployment of electric vehicles (EV) and typifying objectives, methods and indicators generally exploited, to better understand the state of the art on this topic. The Web of Science database was used and the results showed that the interest in the topic of electric vehicles has been increasing exponentially since 2010. The main significant indicators and the assessment methodologies were analysed. The indicators identified were aggregated in four main clusters: environmental, economic, social and technical indicators. Although the factors that contribute to EV deployment can vary depending on the regions specific characteristics, most of the research studies pointed out that the main contributors are the high density of recharging points, the existence of government monetary incentives and the lower operational cost of EV.
Supervised Thesis
2016
Author
Cristian Gomes Carvalheiro.
Institution
IPB
2016
Author
Ana Catarina Rodrigues Martins
Institution
IPB
2016
Author
Ivo Manuel Raposo Mendes
Institution
IPB
2016
Author
Fernanda Maria Martins Oliveira
Institution
IPP-ISCAP
2016
Author
Rafael Sousa Soares
Institution
IPB
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