Modelling Locational Decision Making of Firms Using Multidimensional Fuzzy Decision Tables: An Illustration

Peer Reviewedhttp://deepblue.lib.umich.edu/bitstream/2027.42/60302/1/WitloxEdited.PD

Modelling tourist destination choice using a decision table induction

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Modelling tourist destination choice using a decision table induction algorithm

The authors report on the development and test of a rule-based model of tourist destination choice, using decision tables to represent the rules that specify the conditions under which particular destination choices are made. Rules are extracted from empirical data on tourist destination choice, collected in the Netherlands in 1998. The specification of the model and its performance are discussed.

An agent-based heuristic method for generating land-use plans in urban planning

Land-use models are a well-established component of planning support systems to support urban planning for and with a local community. Existing models are based on either land-suitability analysis or facility-network performance analysis, reflecting two major approaches in modelling for spatial planning—land-use-allocation or land-use-change modelling, and location-allocation modelling. In this study, we propose an agent-based approach to combine methods from both approaches in a single system. We argue and illustrate in a case study that the integrated model is better able to account for a difference in nature between area-type land uses (for example, housing, industry, nature), on the one hand, and facility-type land uses (for example, retailing, schools, medical services), on the other. The model is able to generate a limited set of different land-use-plan alternatives by systematically varying macrocharacteristics of facility networks. The results of a case study suggest that the model generates meaningful sets of land-use-plan alternatives in reasonable computation time.