Transportation Mode Choice Analysis Based on Classification Methods

2011
Nadežda Zeņina, Arkādijs Borisovs

Mode choice analysis has received the most attention among discrete choice problems in travel behavior literature. Most traditional mode choice models are based on the principle of random utility maximization derived from econometric theory. This paper investigates performance of mode choice analysis with classification methods - decision trees, discriminant analysis and multinomial logit. Experimental results have demonstrated satisfactory quality of classification.

Atslēgas vārdi
Decision trees, discriminant analysis, multinomial logit, transportation mode
DOI
10.2478/v10143-011-0041-2
Hipersaite
http://www.degruyter.com/view/j/acss.2011.45.issue--1/v10143-011-0041-2/v10143-011-0041-2.xml?format=INT

Zeņina, N., Borisovs, A. Transportation Mode Choice Analysis Based on Classification Methods. Informācijas tehnoloģija un vadības zinātne. Nr.49, 2011, 49.-53.lpp. ISSN 1407-7493. Pieejams: doi:10.2478/v10143-011-0041-2

Publikācijas valoda
English (en)