This study aims to present a comprehensive statistical analysis to examine, model and forecast energy consumption and needs in Jordan’s transportation sector.
Four independent variables – registered automobiles, ownership level, income level and fuel prices – are selected and analyzed. Reliable data from government and literature sources spanning 1985–2020 are collected for energy consumption and the independent variables. Accordingly, a factorial analysis is conducted to identify the significant factors influencing energy consumption in Jordan’s transport segment. In addition, a robust simple regression model is developed to estimate energy demands, demonstrating higher accuracy compared to existing complicated literature models.
The results revealed that the number of automobiles on the road and vehicle ownership levels are the primary influencing factors on the energy demand in Jordan’s transport segment, regardless of income level and fuel prices. Time series analysis is used in conjunction with the current model; energy requirements for Jordan’s transportation sector are forecasted for the next decade, implying the continuous increase in the demands.
Over the past few decades, Jordan has witnessed significant economic growth and urbanization, leading to a notable increase in transportation energy demands. It is crucial to investigate the energy requirements of this sector and predict future demands to ensure the country’s secure future. This paper provides policy and legislation recommendations to support decision-makers in ensuring a secure future for the country’s transportation sector.
