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基于多元回归模型的2010年上海世博会客流量预测分析
Analysis of Passenger Traffic Forecasting in World Expo 2010 Shanghai Based on Multivariate Regression Model
【摘要】 选取上海城市吸引力系数和上海世博会的吸引力系数等参数,利用多元回归模型定性对2010年上海世博会客流量进行了预测及分析.结果表明:利用多元回归模型对世博会客流量做的预测与以前常用的渗透率模型和引力模型相比有其自身的优越性,考虑因素更为全面.
【Abstract】 In this paper,the passenger traffic of 2010 Shanghai World Expo is forecasted and analysed qualitatively, making use of multivariate regression model.Such as the attractive coefficients of Shanghai and Shanghai World Expo are selected as parameters.The results show that compared with permeability model and gravity model in common usage,multivariate regression model considers factors more comprehensively for passenger traffic forecasting in Shanghai World Expo.
【关键词】 多元回归模型;
客流量预测;
上海世博会;
【Key words】 multivariate regression model; passenger traffic forecasting; Shanghai World Expo;
【Key words】 multivariate regression model; passenger traffic forecasting; Shanghai World Expo;
- 【文献出处】 江汉大学学报(自然科学版) ,Journal of Jianghan University(Natural Sciences) , 编辑部邮箱 ,2010年02期
- 【分类号】O212.1
- 【被引频次】11
- 【下载频次】1266