Simulating tourists' behaviour using multi-agent modelling
AbstractWe 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.
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Bibliographic InfoPaper provided by University Library of Munich, Germany in its series MPRA Paper with number 33526.
Date of creation: 19 May 2011
Date of revision:
Simulation; Stochastic processes; Cellular automata; Tourism; Business; Public Policy Issues; Management techniques; Marketing; Market segmentation; Customer behaviour model;
Find related papers by JEL classification:
- M31 - Business Administration and Business Economics; Marketing; Accounting - - Marketing and Advertising - - - Marketing
- C63 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Computational Techniques
- L83 - Industrial Organization - - Industry Studies: Services - - - Sports; Gambling; Recreation; Tourism
This paper has been announced in the following NEP Reports:
- NEP-ALL-2011-10-01 (All new papers)
- NEP-CMP-2011-10-01 (Computational Economics)
- NEP-MKT-2011-10-01 (Marketing)
- NEP-ORE-2011-10-01 (Operations Research)
- NEP-TUR-2011-10-01 (Tourism Economics)
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