铁道科学与工程学报2018，Vol.15Issue(5)：1341-1346,6.
铁路货运量的内部影响因素及其敏感度分析
Internal influence factors of railway freight volume and its sensitivity analysis
摘要
Abstract
Taking 13 internal factors of railway system as main factor for freight volume, railway transportation index statistical data in the year 2002 to 2012 as training sample, then the mapping relationship between these factors and freight volume can be established by BP neural network. Then, the sensitivity coefficient of freight traffic to can be calculated, this coefficient can be used to measure the influence of various factors on railway freight volume. The results show that the 4 factors, freight mileage, freight car ownership, freight density and average traction gross, are more important than other factors. If we need to increase the volume of freight in sufficient supply, the above 4 factors need to be given priority.关键词
铁路货运量/内部影响因素/BP神经网络/敏感度分析Key words
railway freight volume/internal influencing factors/BP neural network/sensitivity analysis分类
交通工程引用本文复制引用
颜保凡,郭垂江,李夏苗..铁路货运量的内部影响因素及其敏感度分析[J].铁道科学与工程学报,2018,15(5):1341-1346,6.基金项目
湖南省教育科学"十三五"规划课题资助项目(XKJ17BZY040) （XKJ17BZY040）
湖南省高校科研资助项目(15C0908) （15C0908）
