| People | Locations | Statistics |
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| Seuring, Stefan |
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| Nor Azizi, S. |
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| Pato, Margarida Vaz |
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| Kölker, Katrin |
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| Huber, Oliver |
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| Király, Tamás |
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| Spengler, Thomas Stefan |
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| Al-Ammar, Essam A. |
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| Dargahi, Fatemeh |
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| Mota, Rui |
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| Mazalan, Nurul Aliah Amirah |
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| Macharis, Cathy | Brussels |
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| Arunasari, Yova Tri |
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| Nunez, Alfredo | Delft |
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| Bouhorma, Mohammed |
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| Bonato, Matteo |
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| Fitriani, Ira |
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| Autor Correspondente Coelho, Sílvia. |
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| Pond, Stephen |
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| Okwara, Ukoha Kalu |
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| Toufigh, Vahid |
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| Campisi, Tiziana | Enna |
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| Ermolieva, Tatiana |
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| Sánchez-Cambronero, Santos |
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| Agzamov, Akhror |
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Borgers, Awj Aloys
in Cooperation with on an Cooperation-Score of 37%
Topics
Publications (16/16 displayed)
- 2015Modeling pedestrians' shopping behavior in downtown areas
- 2014Temporal adaptation to reward schemes:Results of the SpitsScoren projectcitations
- 2012Car drivers' compliance with route advice and willingness to choose socially desirable routescitations
- 2011Influence of travel advice, pricing and environmental awareness on route choice behavior of car users: results of a stated choice experiment
- 2010Measuring preferences for parking facilities in old residential areas
- 2009Consumer response to introduction of paid parking at a regional shopping center
- 2009Individuals' activity-travel rescheduling behaviour: experiment and model-based analysiscitations
- 2008Preferences for car-restrained residential areas
- 2008The effect of the introduction of paid parking on consumers' expenditures for weekly and non-weekly purchases
- 2006Simulation of micro pedestrian behaviour in shopping streets
- 2005Modelling pedestrian behaviour in downtown shopping areas
- 2004Simulating pedestrian route choice behavior in urban retail environments
- 2003Inducing heuristic principles of tourist choice of travel mode: a rule-based approach
- 2002Utility-maximizing model of household time use for independent, shared, and allocated activities incorporating group decision mechanismscitations
- 2001Classifying Pedestrian Shopping Behaviour According To Implied Heuristic Choice Rulescitations
- 2001Assessing urban context-induced change in individual activity travel patterns : case study of new railway stationcitations
Places of action
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article
Inducing heuristic principles of tourist choice of travel mode: a rule-based approach
Abstract
This article argues that tourists do not necessarily maximize their utility in selecting a travel mode; rather, their choice behavior is context dependent. Given particular conditions related to their family, the environment, and other aspects of the tourist experience, they are assumed to use different heuristics. The present study elicits these choice heuristics from observed data using a tree induction algorithm based on the chi-squared automatic interaction detection (CHAID) algorithm. The induced decision rules are presented in decision tables because this formalism allows one to verify the exhaustiveness, exclusiveness, and consistency of a set of decision rules. It is shown that the choice of transport mode is a highly complex decision. The results of the analyses indicate that this methodology can be applied successfully to better understand tourist choice behavior. Moreover, the statistical properties of the decision table generated are satisfactory, especially when probabilistic rules are used.
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