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An Activity-based Cellular Automata (ACA) model can simulate land-use changes in urban areas with strongly mixed and multifunctional land uses, like Flanders, Belgium (1, 2). It predicts different types and intensities of activity (population and sectoral employment densities) within a single dominant land use. To the effect, the model needs good estimates of population and employment statistics at the cellular level for the initial time step. Disaggregation of employment data is necessary because this type of data is typically only available for statistical units much larger than the model resolution. White et al. (1) use simple dasymetric mapping based on initial land use information for every cell to disaggregate data on employment. In this research we are developing a technique to disaggregate municipal sectoral employment figures based on land-use information, address locations, and available data on industrial and business activities in the study area. Experiments are carried out for a subregion of Flanders. 1 White R., Uljee I., Engelen G., 2012: Integrated Modelling of Population, Employment, and Land Use Change with a Multiple Activity Based Variable Grid Cellular Automaton, International Journal of Geographical Information Science, n° 26, pp. 1251-1280. 2 Crols T., White R., Uljee I., Engelen G., Canters F., Poelmans L., 2012: Development of an Activity-based Cellular Automata Land-use Model: the case of Flanders, Belgium, Proceedings of the 2012 International Congress on Environmental Modelling and Software, Leipzig, Germany, 1-5 July 2012, pp. 2000-2007. |
