Using simulation models and model interpretations for long-term policy-making in cities

Case study of long-term planning of office space in Amsterdam

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Abstract

Simulation models are increasingly used to substantiate long-term planning policy decisions. The communication of model results from modellers to policy-makers has not received much attention by scholars. While, without correct interpretation and correct use of model results the quality of the model itself is irrelevant for the impact of the model on policy. This research analyses this gap in literature by looking at a system from model to policy, using the case of the 2017 office policy of Amsterdam.