Relationship Analysis between commodity-based model and truck trip-based model using trip length distributions

Abstract

There are two urban freight demand-forecasting models such as commodity-based model and truck trip-based model. Commodity-based model is based on the freight system related to the freight transportation basically. So this model does not deal truck trips but freight movements for the main analysis. However, truck trip-based model deals inflow and outflow of truck trip from/ to each zone using aggregated independent variable. The major purpose of this study is to estimate relationship between commodity trip and truck trip when estimating origin and destination in truck trip-based model as well as to estimate trip length distribution (TLD) model, which can describe relationship well. Through this study, it will be expected to suggest theoretical background, framework and model that can not only overcome the limits of truck trip-based model but also consider commodity tonnage using TLD.