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http://dx.doi.org/10.7782/JKSR.2017.20.2.265

Freight Mode Choice Modelling with Aggregate RP Data and Disaggregate SP Data  

Kang, Woong (Dept. of Railroad Facility Engineering, Korea National University of Transportation)
Lee, Jang-Ho (Dept. of Railroad Facility Engineering, Korea National University of Transportation)
Park, Minchoul (Dept. of Railroad Management and Logitstics, Korea National University of Transportation)
Publication Information
Journal of the Korean Society for Railway / v.20, no.2, 2017 , pp. 265-274 More about this Journal
Abstract
For accurate demand forecasting of railway logistics, we estimated intercity freight mode choice models based on the binary logit model and using production-consumption data from the Korea Transport Database. We estimated two types of models and compared the results by major item of railway logistics, such as container, cement, and steel: 1) The aggregate freight mode choice models are based on the revealed preference (RP) data and 2) The disaggregate models are based on the stated preference (SP) data. With respect to the container, the travel time variable was found to be statistically significant; however, the travel cost variable was not statistically significant in the RP model, while the travel cost variable was statistically significant in the SP model. For cement and steel, the travel cost variables were statistically significant but the travel time variables were not statistically significant in either the RP or the SP models. These results are inconsistent with results from previous studies based on SP data, which showed that the travel time variables were significant. Consequently, it can be concluded that the travel time factor should be considered in container transport, but that this factor is negligible for cement and steel transport.
Keywords
Binary logit model; Production-Consumption data; Freight model choice; Revealed preference; Stated preference;
Citations & Related Records
Times Cited By KSCI : 5  (Citation Analysis)
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