Prediction of energy consumption of passenger transportation and GHG emissions in Jordan

In this paper, the structure of the Jordanian transport sector is analysed with focus on passenger cars, which represent 65% of total vehicles and responsible for almost all of the national gasoline fuel demand. In order to achieve the objectives of this study, an empirical model is developed based on multivariate linear regression analysis to identify key drivers that influence gasoline consumption. In addition, possible impacts of introducing diesel powered saloon cars, as an energy efficiency measure to the passenger cars market, on the future energy demand and associated reduction in GHG emissions are analysed and evaluated using different scenarios. Based on the conducted analysis, it was found that the number of cars, income level and unit gasoline price are the most important variables that affect present and future gasoline demand. The obtained results proved that the multivariate linear regression models can be used adequately to simulate gasoline consumption with very high coefficient of determi...