What is it about?

-This paper models the transitions between built-up densities at the regional scale. -The causative factors are calibrated using non-ordered multinomial logistic regression whereas the CA neighboring effects are calibrated based on a multi-objective genetic algorithm.

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Why is it important?

This study contributes to research efforts that model built-up expansion and densification processes. We model the built-up expansion (non-built-up to one of the built-up density classes) and densification (lower built-up densities to higher ones).

Perspectives

This research has demonstrated that the built-up development process is heterogeneous, with links between density and the impact of different built-up development causative factors.

Ahmed Mustafa
University of Liège

Read the Original

This page is a summary of: Modelling built-up expansion and densification with multinomial logistic regression, cellular automata and genetic algorithm, Computers Environment and Urban Systems, January 2018, Elsevier,
DOI: 10.1016/j.compenvurbsys.2017.09.009.
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