This paper proposes a commodity trip generation model in such a way that the movement of commodities is explained by aggregate commodities production and attraction by zonal. The proposed model is a modification the first step of traditional four-step approach, which utilizes regression analysis. Regression analyses correlate freight production and freight attraction based on land use and natural resource productivity of the selected region. The analysis compared of eight regression model and within eight parameters. The research shows that the most significant variable is the length of asphalt road for freight production, and the covered industrial floor area for freight attraction.