Loading rate variance analysis for road freight vehicles based on Kruskal-Wallis test

To find a better variance analysis method for loading rates of road freight vehicles and obtain an effective way to improve loading rates, this paper analyses the application limitations on variance analysis, factor analysis and hypothesis testing. Then, using the current road transportation statistics data, the paper proposes a new method of variance analysis for loading rates of road freight vehicles based on Kruskal-Wallis test and validates the method in Shanxi Province, China. The results show that there are significant differences in road freight vehicle loading rates by different regions, tonnage, number of axes, and business models. And there is also a big difference among homogeneous subsets of multiple comparison tests.