The complexity of freight demand forecasting coupled with non-availability of data of the required scale and features often limits its inclusion in demand forecasting. Available data on many of these aspects of freight, at varying degrees of aggregation spatially, are publicly available for modelling in Australia. This paper provides a novel approach based on the principle of entropy maximisation to combine these diverse datasets to develop the commodity-based production and distribution first component of a freight behavioural logit model for New South Wales (NSW). The implementation of the model is presented using NSW as case study. Key outcomes include the ability of the model to reproduce several observed aggregate results including the sum of all commodities produced and/or consumed in each region of NSW; the average distance (kilometres) covered by each vehicle class in the study area and the average distance each commodity group is transported across the study area.
A commodity-based production and distribution road freight model with application to urban and regional New South Wales
Transportmetrica A: Transport Science ; 17 , 4 ; 566-592
2021-12-10
27 pages
Aufsatz (Zeitschrift)
Elektronische Ressource
Unbekannt
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