The Analysis of Carbon Dioxide Emissions from Driving Behavior Using Multiple Linear Regression: A Case Study of Sample Company
Keywords:
Driving Behavior, Vehicle Emission Analysis, Carbon Dioxide Emissions, Backward Elimination, Regression AnalysisAbstract
In Thailand, the transportation sector is the main source of carbon dioxide emissions, with fuel combustion in engines being a significant contributor to greenhouse gas emissions and global warming. This study aims to examine the carbon dioxide emissions generated by the driving behaviors of sample companies during goods delivery. The data were collected using a GPS tracker installed on the delivery vehicles of these companies. Then, the data were analyzed by multiple linear regression analysis with backward elimination to examine the relationship between driving behaviors and CO2 emissions and the equation for the carbon dioxide emissions quantities. The results show that the quantity of carbon dioxide emissions increases with engine running time, abrupt accelerations, abrupt decelerations, and instances exceeding the speed limit as follows: 0. 004418 KgCo2eq/ min, 0. 04067 KgCo2eq/ time, 0. 2531 KgCo2eq/ time, and 0. 02024 KgCo2eq/ time, respectively. This study also proposed guidelines for controlling driving behavior to reduce carbon dioxide emissions and reduce the risks caused by driving behavior.
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