The increase in financial pressure on public authorities, and the dynamic growth of freight transport demand, represents a major challenge for transport policy. Furthermore, traditional aggregate models of freight transportation show weaknesses in forecasting quality, especially when it comes to the modeling of individual decision reactions. To close a major methodological gap in transport related policy assessment, this book reveals a behavior-oriented approach to commodity transport modeling. Traffic loads are simulated through a large number of individual entrepreneurial decisions, similar to the activity-based approaches for modeling passenger travel behavior. In contrast to flow-based modeling, the microscopic simulation approach guarantees a maximum of consistency between individual behavior and system behavior. The study develops data organization patterns, typologies, behavior rules, and a simulation model that can be applied in behavior-oriented freight transport forecasting. Policy makers in transportation, transport economists, and traffic planners will receive new insights in how to explain and influence freight transport.
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