Simulating tourists' behaviour using multi-agent modelling

Sébastien Corniglion and Nadine Turnois

MPRA Paper from University Library of Munich, Germany

Abstract: We discuss who should be in charge of providing data relevant to marketing segmentation for the tourism industry. We describe the difficulties of using the most commonly found consumer behavioural models within an information system, and oppose them to a novel approach in marketing segmentation, based on outgoings analysis. We use agent-modelling techniques, based on cellular automaton rules and stochastic processes to implement our model and generate sales data. We then present our algorithm to identify similarly behaved tourists, showing that the commonly used “nationality” variable for segments discrimination is not efficient. We conclude with some test runs results discussion and possible further research tracks.

Keywords: Simulation; Stochastic processes; Cellular automata; Tourism; Business; Public Policy Issues; Management techniques; Marketing; Market segmentation; Customer behaviour model (search for similar items in EconPapers)
JEL-codes: C63 L83 M31 (search for similar items in EconPapers)
Date: 2011-05-19
New Economics Papers: this item is included in nep-cmp, nep-mkt, nep-ore and nep-tur
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (3)

Published in Research Challenges in Information Science (RCIS), 2011 Fifth International Conference on (2011): pp. 1-9

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Persistent link: https://EconPapers.repec.org/RePEc:pra:mprapa:33526

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