Simple macro aggregate transport demand modelling in river transport study

Sustainability and development of river transport can reduce the burden of road transport, where the development of road transport requires clearing new land is increasingly expensive and development is quite expensive. To estimate the amount of potential movement of people and goods through river mode choice model can be derived based on a comparison of risk at each mode, whereby the greater the risk will be even smaller portion of the mode selected. From the results of the model calculation of the aggregate distribution modes, obtained through a portion of the potential movement of the Batang Hari river in Jambi, Sumatra Island, Indonesia is 13, 89% for the movement of people and 14.85% for goods.

The imperative for commodity-based intermodal freight transport demand modelling: a South African case study

Container forecasting typically focuses on its intermodal nature, container sizes and port container terminals. This leads to a commodity-blind approach to container forecasting, where the twenty-foot-equivalent is the forecasting output. The standardized unit is also increasing into many non-standard forms, indicated by the three main container market segments. This research deconstructs these segments and provides methodological and actual commodity-based container forecasting results for South Africa where intermodal solutions are still in its infancy and investments need to be made based on accurate forecasting