Affiliation:
1. LIASD, University of Paris 8, France
2. CReSTIC, University of Reims Champagne-Ardenne, France
Abstract
Modelling and simulating cities evolution has been lately the focus of scientific studies, in the urban field, as it represents a mean for effectively managing and planning land-development. Consequently, the development of urban models has known a remarkable growth. This model boom was a key driver behind many studies aiming at providing comprehensive reviews of existing urban models through classifying them based on various characteristics. In this context, this chapter reviews the different classification studies, proposes a classification of a set of most popular models based on their modelling-task, strategy, and data, then assume and argue how these three elements can majorly affect the modelling-approach choice-making. Indeed, its overall goal is to deliver a sort of “white paper” aiming at assisting researchers in their seeking for the most adequate modelling-approach for their urban modelling-task specifications.
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