A systematic comparative evaluation of machine learning classifiers and discrete choice models for travel mode choice in the presence of response heterogeneity

被引：0
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作者：
Salas, Patricio [1 ]
De la Fuente, Rodrigo [1 ]
Astroza, Sebastian [1 ,3 ]
Carrasco, Juan Antonio [2 ,3 ]
机构：
[1] Department of Industrial Engineering, Universidad de Concepción, Chile
[2] Department of Civil Engineering, Universidad de Concepción, Chile
[3] Instituto Sistemas Complejos de Ingeniería (ISCI), Chile
来源：
Expert Systems with Applications | 2022年 / 193卷
关键词：
Discrete choice models - Feature importance - Machine learning methods - Mixed multinomial logit model - Multinomial Logit - Multinomial logit model - Taste heterogeneities - Travel choice models - Travel mode choices;
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