000			02104nam a22002417a 4500
003			ZW-GwMSU
005			20221125160057.0
008			221125b |||||||| |||| 00| 0 eng d
040			_aMSU _cMSU _erda
100			_aWhite, Roger _eauthor
245			_aIntegrated modelling of population, employment and land-use change with a multiple activity-based variable grid cellular automaton _ccreated by Roger White, Inge ULijee and Guy Engelen
264			_bTaylor and Francis _c2012
336			_2rdacontent _atext _btxt
337			_2rdamedia _aunmediated _bn
338			_2rdacarrier _avolume _bnc
440			_vVolume , number ,
520			_aA constrained cellular automaton (CA) framework is used to model both land use and, at the same resolution, densities of population and economic activity. The multi-scale processes determining the location of population, economic activity and land use are captured in a variable grid CA, in which the neighbourhood of each cell includes the entire modelled area. The transition rules generating the spatial dynamics incorporate both the land use and the activities, and because they cover the entire modelled area, they represent interaction effects at all spatial scales; effectively, they are distance decay functions. In general, any particular cell hosts a number of activities (population, employment in various sectors) regardless of its land use, so in effect multiple land uses are modelled as multiple activities, although activity levels are normally highest on cells of the corresponding land use. The model is applied to both the urban-centred Greater Dublin Region and the country of Belgium, which consists of the entire polycentric urban system and its rural matrix. Results for both applications are good, as measured by the errors of both predicted populations and fractal dimensions, and the model outperforms the best existing models by these measures.
650			_acellular automaton
650			_avariable grid
650			_aactivity-based model
856			_uhttps://doi.org/10.1080/13658816.2011.635146
942			_2lcc _cJA
999			_c160612 _d160612