Measurement of CO2 Emissions by the Operation of Freight Transport in Mexican Road Corridors

Article Chemistry, Multidisciplinary

Prediction of Pollutant Emissions in Various Cases in Road Transport

Magdalena Zimakowska-Laskowska et al.

Summary: This article studies the impacts of fuel type, Euro standards, and vehicle structure on vehicle exhaust emissions. The results show that using Euro 6/IV vehicles and biofuels can significantly reduce PM2.5 and NOX emissions.

APPLIED SCIENCES-BASEL (2022)

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Article Environmental Sciences

Effects of the Impact Factors on Transportation Sector's CO2-eq Emissions: Panel Evaluation on South Africa's Major Economies

Oluwole Joseph Oladunni et al.

Summary: This paper investigates the impact of various factors, such as economic growth, energy consumption, and urbanisation, on carbon emissions in the transport sector of South Africa. The results show that GDP and passenger vehicles play a significant role in carbon emissions, while energy intensity and consumption methods are important in reducing carbon emissions.

ATMOSPHERE (2022)

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Article Environmental Sciences

Simulation of Air Pollutants Emission by Trucks and Their Health Effects

John Jairo Posada-Henao et al.

Summary: This paper analyzes truck emissions and their impact on human health. It finds that adjusting truck travel schedules and inter-city speeds can significantly reduce emissions and the number of respiratory infections.

ATMOSPHERE (2022)

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Article Green & Sustainable Science & Technology

Calculation and Assessment of CO2e Emissions in Road Freight Transportation: A Greek Case Study

Anastasios Gialos et al.

Summary: This paper aims to assess the environmental impact of road freight transportation and evaluate the sustainability performance of a freight transport operator's truck fleet by calculating its carbon footprint. The use of compressed natural gas (CNG) as an alternative fuel and its impact on emissions and costs are also discussed.

SUSTAINABILITY (2022)

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Article Green & Sustainable Science & Technology

Neural Networks as an Alternative Tool for Predicting Fossil Fuel Dependency and GHG Production in Transport

Vit Malinovsky

Summary: This paper addresses the comparative analysis of predicted trends in freight transport, specifically focusing on their dependence on fossil fuels and greenhouse gas production. Using neural networks and mathematical statistics, the study forecasts these trends based on publicly available statistical data. The obtained results are analyzed in terms of value concordance and reliability. The comparative analysis highlights the pros and cons of both approaches and suggests a procedure for verifying their verisimilitude through comparison.

SUSTAINABILITY (2022)

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Article Energy & Fuels