Published works

Published works

Multi-objective optimisation framework for calibration of Cellular Automata land-use models

TitleMulti-objective optimisation framework for calibration of Cellular Automata land-use models
Publication TypeJournal Article
Year of Publication2018
AuthorsNewland, C, Maier, H, Zecchin, A, Newman, J, van Delden, H
JournalEnvironmental Modelling & Software
Start Page175
Date Published02/2018

Modelling of land-use change plays an important role in many areas of environmental planning. However, land-use change models remain challenging to calibrate, as they contain many sensitive parameters, making the calibration process time-consuming. We present a multi-objective optimisation framework for automatic calibration of Cellular Automata land-use models with multiple dynamic land-use classes. The framework considers objectives related to locational agreement and landscape pattern structure, as well as the inherent stochasticity of land-use models. The framework was tested on the Randstad region in the Netherlands, identifying 77 model parameter sets that generated a Pareto front of optimal trade-off solutions between the objectives. A selection of these parameter sets was assessed further based on heuristic knowledge, evaluating the simulated output maps and parameter values to determine a final calibrated model. This research demonstrates that heuristic knowledge complements the evaluation of land-use models calibrated using formal optimisation methods.

Refereed DesignationRefereed

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