Prediction and evaluation of greenhouse gas emissions for sustainable road transport within Europe

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Date

2021

Authors

Yigit Kazancoglu
Melisa Ozbiltekin-Pala
Yesim Deniz Ozkan-Ozen

Journal Title

Journal ISSN

Volume Title

Publisher

ELSEVIER

Open Access Color

Green Open Access

No

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Publicly Funded

No
Impulse
Top 1%
Influence
Top 10%
Popularity
Top 1%

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Journal Issue

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.

Description

Keywords

Road transportation, Sustainable development, Greenhouse gas emissions, Grey prediction, CO2 EMISSIONS, ENERGY-CONSUMPTION, GHG EMISSIONS, CARBON EMISSION, URBAN FREIGHT, REDUCTION, POLICIES, MOBILITY, DEMAND, SECTOR, Sustainable Development, Greenhouse Gas Emissions, Grey Prediction, Road Transportation

Fields of Science

0211 other engineering and technologies, 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology

Citation

WoS Q

Scopus Q

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OpenCitations Citation Count
116

Source

Sustainable Cities and Society

Volume

70

Issue

Start Page

102924

End Page

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Citations

CrossRef : 124

Scopus : 144

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Mendeley Readers : 200

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Sustainable Development Goals