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《Journal of Railway Science and Engineering》 2007-01
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Research of disaggregate model application based on combined RP/SP data

LI Jun1,ZHU Shun-ying1,WANG Hong1,LI An-xun1,YAN Xin-ping2(1.School of Transportation,Wuhan University of Technology,Wuhan 430063,China;2.ITS Center,Wuhan University of Technology,Wuhan 430063,China)  
RP data were more reliable and SP data were more flexible.In order to join two types of data to forecast the new mode,taking the mode split of the Changzhutan intercity railway for example,the investigation method was introduced,and the orthogonal design was applied in the SP questionary.The logit model was established based on RP data and SP data respectively,because of the differences in the random terms between RP model and SP model,through introducing the SP scale parameter,a disaggregate model based on the combination data of RP and SP was established.Using the three types of model,the future share of the traffic mode was forecast and the results were compared and analyzed.Experimental results show that the logit model with combined RP/SP data can easily account for the scaling and unobserved error correlations and provides a more reasonable result.
【Fund】: 国家重点基础研究发展计划(973计划)项目(2005CB724205)
【CateGory Index】: U491.1
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