Modeling the dynamics of changes in CO2 emissions from Polish road transport in the context of COVID-19 and decarbonization requirements
Open Access
- 22 July 2023
- journal article
- research article
- Published by Polish Scientific Society of Combustion Engines in Combustion Engines
Abstract
Emissions from transport account for 20%–25% of global carbon dioxide emissions, with more than 70% coming from road transport, making it an extremely important topic in the context of decarbonization. The aim of the article is to analyze the trend of CO2 generated from road transport, taking into account the its various sources, and also to examine the manner in which reduced mobility during the pandemic affected the emissions at the time. For this purpose, a time series containing observations up to the pandemic outbreak and a time series containing additional observations from the pandemic period were analyzed. For each time series, a trend was determined and described by a polynomial and then verified to see if the pandemic phenomenon significantly affects a parameter of the proposed model, using appropriate statistical tests.Keywords
This publication has 28 references indexed in Scilit:
- A comprehensive study on emission of volatile organic compounds for light duty gasoline passenger vehicles in China: Illustration of impact factors and renewal emissions of major compoundsEnvironmental Research, 2021
- Predictive analysis of the impact of the time of day on road accidents in PolandOpen Engineering, 2020
- The limits of transport decarbonization under the current growth paradigmEnergy Strategy Reviews, 2020
- Temporary reduction in daily global CO2 emissions during the COVID-19 forced confinementNature Climate Change, 2020
- Global and Regional Increase of Precipitation Extremes Under Global WarmingWater Resources Research, 2019
- Applied Time Series Analysis with R2017
- Time Series Analysis and Its Applications2017
- Time Series Analysis1994
- Testing for neglected nonlinearity in time series modelsJournal of Econometrics, 1993
- Tests for Specification Errors in Classical Linear Least-Squares Regression AnalysisJournal of the Royal Statistical Society Series B: Statistical Methodology, 1969