Guidelines For A Eco-Driving Business Model In The Case Of Short-Term Rental Cars

Abstract:

Short-term car renting is becoming an increasingly common form of realizing the need to move. It is especially popular in large urban agglomerations. As shown by the observations, drivers often drive in a dangerous way: exceeding the speed limit and using more fuel. The aim of the paper is to identify factors which has an influence of driving style of a people who rent a car for a short time period. To analyse the collected telematics data statistical methods which include correlation analysis, regression analysis and testing of statistical hypothesis using the ANOVA method were used. The analysis of the collected telematics data allowed to indicate the relationship among: difference between real fuel usage and declared by producer and capacity and power of engine; exceeding the speed limit and capacity and power of the engine. The conducted research allows to set guidelines for building a business model that encourages renters to drive in economic and ecological style. Thanks to the identified dependency, it is possible to build a more efficient business model, the offer of which will be targeted at those drivers who currently drive in the most dangerous way.