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Prediction and evaluation of greenhouse gas emissions for sustainable road transport within Europe
- Source :
- Sustainable Cities and Society. 70:102924
- Publication Year :
- 2021
- Publisher :
- Elsevier BV, 2021.
-
Abstract
- Environmental pollution leads a rise in sustainable development problems. Greenhouse gases(GHG) are one of the most important barriers against to sustainable development and greener cities. When the causes of GHG are investigated, human activities appeared as one of the main reasons. As one of the human activities, transportation has the highest impact on the increase in GHG emissions in green cities. Of the different transportation modes such as air, railways, and road, this study focused on road transportation due to its greater impact when compared to others in terms of GHG emissions. GHG emission estimation should be the initial step to evaluate current status of countries. Therefore, this study aims to make detailed analysis of GHG emissions in four European countries, due to different types of road transport vehicles. Grey prediction is used to estimate the amount of GHG emissions for each road transport vehicle for each country. In conclusion, implications are presented in order to reduce the GHG emissions and to meet sustainable development conditions according to the numerical results of the estimation and it is aimed to prepare a base for new studies about GHG emissions in road transportation.
- Subjects :
- Sustainable development
Renewable Energy, Sustainability and the Environment
Natural resource economics
Geography, Planning and Development
0211 other engineering and technologies
Transportation
Environmental pollution
02 engineering and technology
010501 environmental sciences
01 natural sciences
Road transport
Greenhouse gas
Environmental science
021108 energy
Types of road
0105 earth and related environmental sciences
Civil and Structural Engineering
Subjects
Details
- ISSN :
- 22106707
- Volume :
- 70
- Database :
- OpenAIRE
- Journal :
- Sustainable Cities and Society
- Accession number :
- edsair.doi...........302ef589f8b38a7fe00e78603ad0a99c
- Full Text :
- https://doi.org/10.1016/j.scs.2021.102924