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Truck Destination Choice Behavior incorporating Time of Day, Activity duration and Logistic Activity  

Sin, Seung-Jin (한국교통연구원)
Kim, Chan-Seong (한국교통연구원)
Park, Min-Cheol (한국교통연구원)
Kim, Han-Su (서울시립대)
Publication Information
Journal of Korean Society of Transportation / v.27, no.1, 2009 , pp. 73-81 More about this Journal
Abstract
While various factors in passenger and freight demand analysis affect on destination choice, a key factor, in general. is an attractiveness measure by size variable (e.g., population. employment etc) in destination zone. In order to measure the attractiveness, some empirical studies suggested that disaggregate gravity model are more suitable than aggregate gravity model. This study proposes that truck travelers trip diary data among Korean commodity flow data could be used to estimate the behaviors of incorporating trip departure time, activity duration and attractiveness in destination. As a result, the main findings of size and distance variables coincide with the conventional gravity model having a positive effect of population variable and a negative effect of distance variable. Due to disaggregate gravity modeling, the unique findings of this study reports that small trucks are more likely to choose short distance and early morning, morning peak and afternoon peak departure time choice. On the other hand, large trucks are more likely to choose long distance and night time departure time choice.
Keywords
Choice Model; Behavior Model; Destination Choice; Activity Duration; Logistics Activity;
Citations & Related Records
Times Cited By KSCI : 1  (Citation Analysis)
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