Transportation Mode Choice Analysis Based on Classification Methods
Year: 2011
Type: article
Abstract: Transportation Mode Choice Analysis Based on Classification Methods 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.
Authors: Nadezda Zenina, Arkady Borisov
Institution: Riga Technical University
Language: English
Subfield: Transportation
Field: Social Sciences
Domain: Social Sciences
Open Access status: diamond
OpenAlex ID: W2065877672
