摘要This study elaborates the evolution and feature of highway freight volume statistics and calculation methods to study the main problem of the 2014 new trial scheme. On the basis of the analysis of statistical methods and features of highway freight volume statistics trial scheme, the problem of a stratified sampling method of vehicles was discovered. A grey relational analysis model was established by using Excel software. The high degree of correlation indicators and highway freight volume were determined by grey relational analysis model. Results show that product yield and freight vehicle sales and tonnage have a high degree of correlation with highway freight volume. This indicator can be used to evaluate the rationality of the freight traffic trend on the highway. On the basis of problem analysis, a new idea is proposed to improve highway traffic volume. Then, a model is created with EViews6 to conduct calculation. Iron, cement, paper and paperboard, and truck tonnage were selected to establish that the regression model has high fitting degree with the sample data. Meanwhile, the standard error is smaller and can be used in calculating highway freight volume. Therefore, an analysis of a new highway freight volume statistics trial scheme will provide an academic basis for the assessment and improvement of highway freight volume statistics and calculation method, respectively.
Abstract：This study elaborates the evolution and feature of highway freight volume statistics and calculation methods to study the main problem of the 2014 new trial scheme. On the basis of the analysis of statistical methods and features of highway freight volume statistics trial scheme, the problem of a stratified sampling method of vehicles was discovered. A grey relational analysis model was established by using Excel software. The high degree of correlation indicators and highway freight volume were determined by grey relational analysis model. Results show that product yield and freight vehicle sales and tonnage have a high degree of correlation with highway freight volume. This indicator can be used to evaluate the rationality of the freight traffic trend on the highway. On the basis of problem analysis, a new idea is proposed to improve highway traffic volume. Then, a model is created with EViews6 to conduct calculation. Iron, cement, paper and paperboard, and truck tonnage were selected to establish that the regression model has high fitting degree with the sample data. Meanwhile, the standard error is smaller and can be used in calculating highway freight volume. Therefore, an analysis of a new highway freight volume statistics trial scheme will provide an academic basis for the assessment and improvement of highway freight volume statistics and calculation method, respectively.
梁仁鸿, 仵思燃. 公路货物运输量统计新试行方案问题分析及完善思路研究[J]. Journal of Highway and Transportation Research and Development, 2018, 12(4): 103-110.
LIANG Ren-hong, WU Si-ran. Problems and Improvement of Trial Scheme for Highway Freight Volume Statistics. Journal of Highway and Transportation Research and Development, 2018, 12(4): 103-110.
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2018, Vol. 12 
