Identifying variations and co-variations in discrete choice models
Identifying variations and co-variations in discrete choice models
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DOI：
10.1007/s11116-010-9317-6
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发表时间：
2011-01
期刊：
影响因子：
4.3
通讯作者：
M. Chikaraishi;A. Fujiwara;Junyi Zhang;K. Axhausen
中科院分区：
文献类型：
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作者：
M. Chikaraishi;A. Fujiwara;Junyi Zhang;K. Axhausen
本研究引入了一个扩展版本的标准多水平交叉分类logit模型，该模型考虑了协变，即，由两个或两个以上未观察到的因素共同引起的变化。本研究以模式选择行为为研究对象，探讨了四种不同类型的变异：空间变异、个体间变异、个体内变异以及个体间变异与空间变异的共变异。这种共同变化代表了个体特定的空间效应，反映了个体对同一空间的不同反应，这可能是由于他们的空间感知差异。在我们的实证分析中，我们使用来自Mobidrive（一项连续六周的旅行调查）的数据，通过比较两个有和没有协变项的模型来澄清协变效应的存在。这一分析的结果表明，协变肯定存在，特别是在公用事业的差异，自行车和公共交通的使用与汽车的使用。然后，我们依次引入另外四组解释变量，检查行为变化的来源，并确定哪些类型的影响因素在模式选择行为中占主导地位。
This study introduces an extended version of a standard multilevel cross-classified logit model which takes co-variations into account, i.e., variations jointly caused by two or more unobserved factors. Whilst focusing on mode choice behavior, this study deals with four different types of variation: spatial variations, inter-individual variations, intra-individual variations and co-variations between inter-individual and spatial variations. Such co-variations represent individual-specific spatial effects, reflecting different responses to the same space among individuals, which may for example be due to differences in their spatial perceptions. In our empirical analysis, we use data from Mobidrive(a continuous six-week travel survey) to clarify the existence of co-variation effects by comparing two models with and without co-variation terms. The results of this analysis indicate that co-variations certainly exist, especially for utility differences in bicycle and public transport use in comparison with car use. We then sequentially introduce four further sets of explanatory variables, examine the sources of behavioral variations and determine what types of influential factors are dominant in mode choice behavior.