Evaluation of light commercial vehicles operation process in a transport company using the regression modelling method

Abstract

This paper presents an analysis of the results of daily observations from the execution of transport orders by three types of vehicles over a period of 2 years. The purpose of the research was to evaluate the operation process and determine the influence of important technical and operational variables on the economic efficiency of the operation process. A set of 7 quantitative variables, previously not considered in the evaluation of the commercial vehicle operation process, was subjected to statistical data analysis. An indicator analysis and evaluation of the intensity of use of the following types of vehicles was conducted: Renault Master, Fiat Ducato and Citroen Jumper. Based on the results of the research, the vehicle with the highest efficiency was determined and possible assumptions of the strategy applied in the company were indicated. The analysis and evaluation of vehicle efficiency gave rise to the identification of independent variables determining the company's income. Using the indicator method and the multivariate regression model, transport companies can evaluate the efficiency of transport tasks undertaken.