节点文献
基于灰色关联和多元回归预测的铁路客运需求分析及预测
Analysis and Forecast of Railway Passenger Transport Demand based on Grey Correlation and Multivariate Regression Prediction
【摘要】 采用灰色关联法分析了铁路客运需求的影响因素,找出了主要因素,利用这些主要因素建立回归预测模型对我国铁路客运需求进行了短期预测,为我国铁路客运的发展规划提供参考.
【Abstract】 The grey relation method is used to analyze the influence factors of railway passenger transport demand,and the main factors are obtained.The regression forecast model is used to establish a regression prediction model for short-term forecast of the railway passenger transport demand in China,which provides reference for the development of railway passenger transport.
【关键词】 铁路客运;
需求预测;
灰色关联法;
多元线性回归;
【Key words】 railway transport; demand forecasting; grey relational analysis; multi-variable linear regression;
【Key words】 railway transport; demand forecasting; grey relational analysis; multi-variable linear regression;
【基金】 辽宁省博士启动基金资助项目(201601267)
- 【文献出处】 大连交通大学学报 ,Journal of Dalian Jiaotong University , 编辑部邮箱 ,2019年01期
- 【分类号】U293
- 【被引频次】23
- 【下载频次】1265