Angelina Atuobi Ampadu, Akvile Cibinskiene
The study sought to investigate if gender and years of driving can be used to predict whether electric vehicles can fully be integrated into the transport sector. The transport sector was the center of focus as it is connected to almost all production branches. The use of electric vehicles was one of the energy-saving technologies identified. The paper discusses five different types of electric vehicles: the hybrid electric vehicle, the plug-in electric vehicle, the plug-in hybrid electric vehicle, the fuel cell electric vehicle, and the ultracapacitor electric vehicle. Drivers around car dealerships, parking lots, hotels, supermarkets, shopping malls, and bus service centers in Lithuania were recruited using random sampling n = 100. Data was collected using a simple questionnaire that was provided to the sample population. The methods of data analysis included descriptive statistics, chi-square, and predictive analysis. The results indicated that years of driving affect people’s preference for electric vehicles over traditional combustion engine vehicles. There was no significant relationship between gender and preference for electric vehicles.
© 2001-2024 Fundación Dialnet · Todos los derechos reservados