URBANE D3.2 Modelling Framework and Agent-Based Models

In the URBANE project, various innovations are evaluated in urban living labs and with quantitative models of the urban freight system. The objective of Task 3.4 is to assess how consumers choose a delivery method including how decisions evolve in the social environment of consumers. To this end, we linked the two agent-based modelling (ABM) tools, HUMAT (NORCE) and MASS-GT (TUD), as a high-level agent-based modelling framework to support evaluations. Parallel to defining the dedicated modules of this modelling framework and the necessary input and output data, interconnections were defined between them. During this process, we resolved issues related to suitability of input/output data and risk of creating incompatibility. We reimplemented and tested HUMAT in Python for its interoperability with MASS-GT.