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Detalhes

Detalhes

Publicações

2022

Sustainability performance assessment of the transport sector in European countries

Autores
Gruetzmacher, SB; Vaz, CB; Ferreira, AP;

Publicação
REVISTA FACULTAD DE INGENIERIA-UNIVERSIDAD DE ANTIOQUIA

Abstract
The transport sector plays a fundamental role in the European Union economy and its efficiency is fundamental to strengthen the region's environmental and economic performance. Unfortunately, the sector still remains heavily dependent on oil resources and is responsible for a large part of the air pollution. The European Union has been promoting various initiatives towards sustainable transport development by setting targets in the sector such as the ones proposed in the 2011 White Paper on transport. Under this context, this study aims at evaluating the environmental performance of the transport sector in 28 European Union countries, from 2015 to 2018, towards the policy agenda established in the strategic documents. The assessment of the transport environmental performance is made through the aggregation of seven sub-indicators into a composite indicator using a Data Envelopment Analysis technique. A variant of the Benefit of the Doubt model is used to determine the weights to aggregate the sub-indicators. The results obtained indicate that the European Union countries have been improving their transport environmental performance in the last two years of the time span under analysis, i.e., 2017 and 2018. Regarding the inefficient countries, results suggest they should improve the transport sustainability mainly by drastically reducing the greenhouse gas emissions from fossil fuel-based propulsion, increasing the share of freight transport using rail and inland waterways and also the share of transport energy from renewable sources.

2022

Dynamic Analysis of the Sustainable Performance of Electric Mobility in European Countries

Autores
Vaz, CB; Ferreira, ÂP;

Publicação
Computational Science and Its Applications – ICCSA 2022 Workshops - Lecture Notes in Computer Science

Abstract

2022

External Climate Data Extraction Using the Forward Feature Selection Method in the Context of Occupational Safety

Autores
Silva, FG; Sena, I; Lima, LA; Fernandes, FP; Pacheco, MF; Vaz, CB; Lima, J; Pereira, AI;

Publicação
Computational Science and Its Applications – ICCSA 2022 Workshops - Lecture Notes in Computer Science

Abstract

2021

Performance Assessment of the Transport Sustainability in the European Union

Autores
Gruetzmacher, SB; Vaz, CB; Ferreira, ÂP;

Publicação
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

A Panel Data Analysis of the Electric Mobility Deployment in the European Union

Autores
Gruetzmacher, SB; Vaz, CB; Ferreira, ÂP;

Publicação
Communications in Computer and Information Science - Optimization, Learning Algorithms and Applications

Abstract

Teses
supervisionadas

2018

Bio-Measurements Estimation and Support in Knee Recovery through Machine Learning

Autor
João Miguel Neves Bernardino

Instituição
UP-FEUP

2018

Video Similarity Measurement: Using Convolutional Neural Networks to Create Video Signatures

Autor
João Gabriel Marques Costa

Instituição
UP-FEUP

2018

Fault injection in Android applications

Autor
João Manuel Estrada Pereira Gouveia

Instituição
UP-FEUP

2018

Game Design Patterns in Serious Games for Software Engineering Education

Autor
João Miguel Fidalgo Esteves Nogueira

Instituição
UP-FEUP