Modelling Household Car Ownership in the Selected Regions of the Czech Republic

Abstract

Car ownership models are essential for forecasting transport demand as well as for addressing the resulting impacts of traffic emissions and appropriate measures. The paper presents the multinomial logit model for the selected regions of the Czech Republic analysing the relationship between household car ownership and household characteristics such as household income, number of household members and number of children. The model was applied to data collected by questionnaire survey conducted in two Czech cities Litoměřice and Písek in the years 2017 and 2019. In total, three car ownership categories were specified: one car, two cars, three and more cars. The results showed that household income and the number of household members owning a driving licence has a positive impact on owning two and more cars. Besides that, it was also found out that the number of cars owned by a household is influenced by the number of retired pensioners and a possibility to use a company car.