Abstract
Keywords:Fuel Consumption, Statistical Model, Passenger Transportation, Multiple Linear Regression, Energy Sustainable
At present, there are two management form, public corporation and private corporation, in the vehicle transportation corporation of China. Obtaining public operated vehicle datum are relatively easy, but it is difficult and not exact in the private corporation. There is not statistics department in some corporation, which lead to obtaining trustless datum of fuel consumption. The statistic work is difficult for management department because of inaccurate original datum. In order to resolve the problem on total fuel consumption of the whole corporation, we chose representative datum without obtaining accurate statistic datum in the current corporation in the paper. Research object is the gross fuel consumption of one month in the passenger transport corporation and we apply stratified sampling method, choosing different type passenger car as sample to compute statistics of the vehicle fuel consumption and corresponding each factors of affecting fuel consumption. Then we choose fuel consumption as dependent variable, influence factors of fuel consumption as independent variable, and construct a multiple linear regression model consequently speculating on the total fuel consumption of the month is realized with limited datum. Research result show that the statistic result of fuel consumption is exact and the statistic precision is more exact than the current general statistic method, which has great practicability.