Research of bus transport demand and its factors using multicriteria regression analysis

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Abstract

The demand for transport is influenced by several factors. Our aim of the research was to identify the most important factors of demand (population, income, supply, and fare) and their impact on demand in relation to individual groups of passengers. Using the method of correlation analysis and the method of covariance, we examined the strength of the relationship between variables. The regression models using the regression analysis method were created. In the correlation and regression analysis, we found out whether there is a statistically significant relationship between the variables. The research has shown, in some cases, the supply of connections is not a statistically significant indicator.

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