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Mixed Logit模型随机参数分布形式选择探讨 被引量:3

Study on the Choice of Random Parameter Distribution Function of Mixed Logit Model
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摘要 MixedLogit模型参数的分布形式的选择对模型物理意义的阐释和模型的实际应用均有十分重要的影响。选取正态分布、对数正态分布和均匀分布3种代表性分布函数进行分析,以Daganzo1979年应用Logit模型进行交通方式划分模型标定所采用的原始数据进行试验研究,并将试验结果与Logit模型结果进行对比。研究结果表明:MixedLogit模型对原始数据的拟合性更好;3种分布函数分别适应于不同特点的参数;MixedLogit具有更为丰富的物理意义,对个人选择交通方式的偏好信息表达更为清晰。 The choice of the random parameter distribution function of Mixed Logit Model is key to the use of the model in practice. Normal distribution, log normal distribution and uniform distribution are selected and analyzed as the distribution function of the random parameter by use of the data from Daganzo who made use of the data to analyze the mode split employing Logit Model. The results are compared between Logit Model and Mixed Logit Model, and also among the three different distribution functions. The results shows that Mixed Logit Model fits the data better than Logit Model, and the three different distribution in study is adapt to different kind of parameter. In addition, mixed logit model is better in expressing the personal preference for travel mode choice.
出处 《公路交通科技》 CAS CSCD 北大核心 2006年第8期122-125,146,共5页 Journal of Highway and Transportation Research and Development
关键词 MIXED LOGIT模型 分布函数 方式划分 Mixed Logit model distribution function mode split
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参考文献9

  • 1KENNETH E TRAIN. Discrete Choice Methods with Simulation[M].Cambridge University Press, 2003.
  • 2MOSHE BEN-AKIVA, STEVEN R LERMAN. Discrete Choice Analysis: The Theory and Application to Travel Demand [M]. The MIT Press, Cambridge, Massachusetts, 1987.
  • 3THOMAS A DOMENCICH, DANICL MCFADDEN. Urban Travel Demand, A Behavioral Analysis [M]. New York: American Elsevier Publishing Company, 1975.
  • 4DAVID A HENSHER, WILLIAM H GREENE. The Mixed Logit Model: The State of Practice and Warnings for the Unwary [R].2001.
  • 5DAVID REVELT, KENNETH TRAIN. Customer-Specific Taste Parameters and Mixed Logit Model [R ] .Working paper, University of California, Berkeley,1999.
  • 6MARCELA A MUNIZAGA, RICARDO ALVAREZ-DAZIANO.Testing Mixed Logit Model and Probit Model by Simulation[C]. TRB 2005 Annual Meeting, 2004.
  • 7JOAN WALKER. The Mixed Logit Model Dispelling Misconcepts of Identification[C]. Transportation Research Record. 2002.
  • 8D SIMMONDS, J J BATES. Activity-based Modeling:Research Directions and Possibility. New Look at Muti-Modal Modelling[R].London: Report for the Department of Enviroment, Transport and Regions, 2000.
  • 9[9] FRAND S KOPPELMAN, LAURIE A GARROW. Efficient Estimation of Nested Lngit Models Using Choice-based Samples:Exmaple Applications [C]. Washington D.C: Paper presented at the 84^th Annual Meeting of the Transportation Research Board, 2005.

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