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Latent Class Analysis for Mode Choice Behavior  

Bae, Yun-Gyeong (연세대학교 도시공학과)
Jeong, Jin-Hyeok (연세대학교 도시공학과)
Kim, Hyeong-Jin (연세대학교 도시공학과)
Publication Information
Journal of Korean Society of Transportation / v.28, no.3, 2010 , pp. 99-107 More about this Journal
Abstract
Analyzing mode choice among transportation demand estimate procedures is complicated and understanding characteristics of travelers is also difficult. Generally, it is well known that traveler choose mode considering psychometric factors and characteristic besides socio-demographic indicators. Accordingly, many researches has investigated on methodology that can be applied in mode choice to reflect psychometric factor or specific preference. Latent Class Analysis among various studies is recognized as the theoretically potential approach. This study focuses on class segmented using latent class cluster to analyze impact that included psychometric factors and characteristics on mode choice. It also provides evidence that mode choice model for each class and mode choice model not considering latent class are different. This study based on citizen's stated preference and revealed preference on a new transit on the Han river shows that latent class cluster analysis is the potential approach considering latent preference.
Keywords
Latent Class Analysis; Cluster Analysis; Mode Choice; SP survey; RP survey;
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