As an alternative to the more traditional utility-based models. this article proposes and tests a rulebased approach to modeling tourist choice behavior. The CHAID tree-induction algorithm is used to formulate and test tourists' decision rules for the choice of season. The article shows that a set of 100 exclusive and exhaustive decision rules equals the predictive performance of a MNL model involving 255 parameters. Moreover, it is shown that the number of parameters of a MNL model can be reduced without decreasing the predictive performance by using CHAID preprocessed condition states. Overall, however, none of the models clearly outperforms the other models
Classical economic theory following Bentham and Mill assumes decision makers are completely informed...
Rule-based models, such as decision trees, are ideally suited to represent discontinuous effects of ...
Abstract Individual choice behavior usually involves a complex decision-making process, and is often...
As an alternative to the more traditional utility-based models. this article proposes and tests a ru...
This article argues that tourists do not necessarily maximize their utility in selecting a travel mo...
The authors report on the development and test of a rule-based model of tourist destination choice, ...
A detailed understanding of decision rules is essential in order to better explain consumption behav...
A detailed understanding of decision rules is essential in order to better explain consumption behav...
A detailed understanding of decision rules is essential in order to better explain consumption behav...
This research project proposes the formulation of profiles composed of foreign and national tourists...
Most of the existing studies on tourism demand forecasting apply economic models that usemathematica...
In determining the selection of sites to visit on a trip tourists have to trade-off attraction value...
Among tourism decision making studies, choice heuristics are barely explored. Choice heuristics are ...
xiii, 492 p. : ill. ; 30 cm.PolyU Library Call No.: [THS] LG51 .H577P HTM 2004 GohAlthough the major...
Agent-based models (ABMs) are becoming more relevant in social simulation due to the potential to mo...
Classical economic theory following Bentham and Mill assumes decision makers are completely informed...
Rule-based models, such as decision trees, are ideally suited to represent discontinuous effects of ...
Abstract Individual choice behavior usually involves a complex decision-making process, and is often...
As an alternative to the more traditional utility-based models. this article proposes and tests a ru...
This article argues that tourists do not necessarily maximize their utility in selecting a travel mo...
The authors report on the development and test of a rule-based model of tourist destination choice, ...
A detailed understanding of decision rules is essential in order to better explain consumption behav...
A detailed understanding of decision rules is essential in order to better explain consumption behav...
A detailed understanding of decision rules is essential in order to better explain consumption behav...
This research project proposes the formulation of profiles composed of foreign and national tourists...
Most of the existing studies on tourism demand forecasting apply economic models that usemathematica...
In determining the selection of sites to visit on a trip tourists have to trade-off attraction value...
Among tourism decision making studies, choice heuristics are barely explored. Choice heuristics are ...
xiii, 492 p. : ill. ; 30 cm.PolyU Library Call No.: [THS] LG51 .H577P HTM 2004 GohAlthough the major...
Agent-based models (ABMs) are becoming more relevant in social simulation due to the potential to mo...
Classical economic theory following Bentham and Mill assumes decision makers are completely informed...
Rule-based models, such as decision trees, are ideally suited to represent discontinuous effects of ...
Abstract Individual choice behavior usually involves a complex decision-making process, and is often...