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基于Box-Cox Dogit模型的公共交通分担率预测
引用本文:刘好德.基于Box-Cox Dogit模型的公共交通分担率预测[J].交通与计算机,2012(1):47-51.
作者姓名:刘好德
作者单位:交通运输部科学研究院城市交通研究中心,北京100029
基金项目:国家自然科学基金项目(批准号:50908173); 中国博士后科学基金资助项目(批准号:20080430688、200902253); 沃尔沃研究与教育基金会项目(批准号:VREF)资助
摘    要:通过分析影响交通方式选择的外部因素和内部因素,基于最大随机效用理论,提出了城市公共交通分担率预测的非集计Box-Cox Dogit模型。针对模型的建立、参数标定以及计算过程进行了推导。最后结合杭州市的实际调查数据,进行了公共交通分担率的预测实验,独立样本检验结果表明,模型预测准确率较高。

关 键 词:公共交通  分担率预测  非集计方法  Box-Cox  Dogit模型

Public Transportation Share Ratio Forecasting Based on Box-Cox Dogit Model
LIU Haode.Public Transportation Share Ratio Forecasting Based on Box-Cox Dogit Model[J].Computer and Communications,2012(1):47-51.
Authors:LIU Haode
Institution:LIU Haode(China Urban Sustainable Transport Research Center,China Academy of Transportation Sciences,Beijing 100029,China)
Abstract:In order to analyze the passenger flow distribution in urban area accurately,the disaggregate Box-Cox Dogit model is presented to predict the public transportation share ratio in urban area.It is carried out by analyzing the outer and inner factors that affect the choice of transportation modes and considering the random utility theory.Model building,parameter calibration and calculation process are described.Finally,the proposed model and algorithm for forecasting the public transportation share ratio are tested by using the field survey data from Hangzhou City.The results of independent sample test indicate that the model has a finer precision and stability.
Keywords:public transportation  share ratio prediction  disaggregate method  Box-Cox Dogit model
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