A multi-level cross-classified model for discrete response variables
作者： Chandra R. Bhat
DOI: 10.1016/S0191-2615(99)00038-7
关键词: Mode choice 、 Mathematical model 、 Spatial contextual awareness 、 Econometrics 、 Mixed logit 、 Econometric model 、 Gaussian quadrature 、 Cluster analysis 、 Mathematics 、 Logistic regression 、 Management Science and Operations Research 、 Transportation
摘要: In many spatial analysis contexts, the variable of interest is discrete and there clustering observations. This paper formulates a model that accommodates along more than one dimension in context response variable. For example, travel mode choice context, individuals are clustered by both home zone which they live as well their work locations. The formulation takes form mixed logit structure estimated maximum likelihood using combination Gaussian quadrature quasi-Monte Carlo simulation techniques. An application to suggests ignoring make decisions can lead an inferior data fit provide inconsistent evaluations transportation policy measures.
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