Agent-based land-use models: a review of applications

Robin B. Matthews, Nigel G. Gilbert, Alan Roach, J. Gary Polhill, Nick M. Gotts
2007 Landscape Ecology  
1 Agent-based modelling is an approach that has been receiving attention by the land use 2 modelling community in recent years, mainly because it offers a way of incorporating the 3 influence of human decision-making on land use in a mechanistic, formal, and spatially 4 explicit way, taking into account social interaction, adaptation, and decision-making at 5 different levels. A number of such models are now beginning to appear -it is timely, 6 therefore, to review the uses to which agent-based
more » ... land use models have been put so far, and 7 to discuss some of the relevant lessons learnt, also drawing on those from other areas of 8 simulation modelling, in relation to future applications. 9 In this paper, we review applications of agent-based land use models under the headings of 10 (a) policy analysis and planning, (b) participatory modelling, (c) explaining spatial patterns of 11 land use or settlement, (d) testing social science concepts, and (e) explaining land use 12 functions. The greatest use of such models so far has been by the research community as tools 13 for organising knowledge from empirical studies, and for exploring theoretical aspects of 14 particular systems. However, there is a need to demonstrate that such models are able to solve 15 problems in the real world better than traditional modelling approaches. It is concluded that in 16 terms of decision support, agent-based land-use models are probably more useful as research 17 tools to develop an underlying knowledge base which can then be developed together with 18 end-users into simple rules-of-thumb, rather than as operational decision support tools. 19 20
doi:10.1007/s10980-007-9135-1 fatcat:fxqemxn3hjhttn6tt7ymyfcprm