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Mode Choice Characteristics of Rail Freight Transportation  

Choi, Chang-Ho (전남대학교 경상학부)
Shin, Seung-Jin (한국교통연구원 국가교통D/B센터)
Park, Dong-Joo (서울시립대학교 교통공학과)
Kim, Han-Soo (서울시립대학교 교통공학과)
Jin, Jang-Won (충주대학교 토목공학부)
Publication Information
Journal of the Korean Society for Railway / v.11, no.6, 2008 , pp. 588-595 More about this Journal
Abstract
This study is carried out for understanding mode choice behavior of shippers and introducing ideal mode share between rail and truck in Korea. The model type is individual behavioral model and the input data type is stated preference (SP) data. SP data was prepared by design of experiments. The explanatory variables in models are transport time, transport cost and service level. The research result shows that it is more effective to reduce transport cost rather than to implement other strategies. For container, reducing transport cost and transport time and increasing service level simultaneously can strengthen the competitiveness of rail over truck transportation. On the other hand, for bulk freight such as cement and steel, it is better to reduce the transport cost than to do other attributes.
Keywords
commodity type; rail transportation; behavioral model; SP data; elasticity; value of travel time;
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