DocumentCode :
3049049
Title :
Four types of typical discrete Choice Models: Which are you using?
Author :
Yu, Lijun ; Sun, Bin
Author_Institution :
Sch. of Civil & Transp. Eng., South China Univ. of Technol., Guangzhou, China
fYear :
2012
fDate :
8-10 July 2012
Firstpage :
298
Lastpage :
301
Abstract :
Four types of typical discrete Choice Models: Multinomial logit (MNL) model, Nested logit (NL)model, Heteroscedastic Extreme Value (HEV)Model and Mixed logit model, have been proposed and implemented in empirical investigations, although there is no universally acknowledged using principle. Here we report study to test this type of models in a travel mode choice case. We implemented four models calibration using software programmed by ourselves. We found that if sample data satisfied with IIA property, our experience has confirmed that MNL is the first choice in mode split forecasting. The nested logit model and Heteroscedastic Extreme Value (HEV)Model are not significantly better than the multinomial logit model. Mixed logit model corrects IIA flaw, but is somewhat more difficult to estimate.
Keywords :
decision making; forecasting theory; calibration; discrete choice models; heteroscedastic extreme value model; mixed logit model; mode split forecasting; multinomial logit model; nested logit model; travel mode choice; Atmospheric modeling; Economics; Educational institutions; Hybrid electric vehicles; Predictive models; heteroscedastic extreme Value; mixed logit mode; multinomial logit; nested logit; transport mode choice;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Service Operations and Logistics, and Informatics (SOLI), 2012 IEEE International Conference on
Conference_Location :
Suzhou
Print_ISBN :
978-1-4673-2400-7
Type :
conf
DOI :
10.1109/SOLI.2012.6273550
Filename :
6273550
Link To Document :
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