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Simulating tourists' behaviour using multi-agent modelling

Author

Listed:
  • Corniglion, Sébastien
  • Turnois, Nadine
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.

Suggested Citation

  • Corniglion, Sébastien & Turnois, Nadine, 2011. "Simulating tourists' behaviour using multi-agent modelling," MPRA Paper 33526, University Library of Munich, Germany.
  • Handle: RePEc:pra:mprapa:33526
    as

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    File URL: https://mpra.ub.uni-muenchen.de/33526/1/MPRA_paper_33526.pdf
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    References listed on IDEAS

    as
    1. Stiglitz, Joseph E., 1987. "Pareto efficient and optimal taxation and the new new welfare economics," Handbook of Public Economics, in: A. J. Auerbach & M. Feldstein (ed.), Handbook of Public Economics, edition 1, volume 2, chapter 15, pages 991-1042, Elsevier.
    2. Edmund Chattoe-Brown, 1998. "Just How (Un)realistic Are Evolutionary Algorithms As Representations of Social Processes?," Journal of Artificial Societies and Social Simulation, Journal of Artificial Societies and Social Simulation, vol. 1(3), pages 1-2.
    3. Nicosia, Francesco M & Mayer, Robert N, 1976. "Toward a Sociology of Consumption," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 3(2), pages 65-75, Se.
    4. Peter Hammond, 1995. "Four Characterizations Of Constrained Pareto Efficiency In Continuum Economies With Widespread Externalities," The Japanese Economic Review, Japanese Economic Association, vol. 46(2), pages 103-124, June.
    5. Christoph Zott, 2003. "Dynamic capabilities and the emergence of intraindustry differential firm performance: insights from a simulation study," Strategic Management Journal, Wiley Blackwell, vol. 24(2), pages 97-125, February.
    6. George A. Akerlof, 1970. "The Market for "Lemons": Quality Uncertainty and the Market Mechanism," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 84(3), pages 488-500.
    Full references (including those not matched with items on IDEAS)

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    Cited by:

    1. Cristina Elena ALBU, 2016. "Tourism And Terrorism: A Worldwide Perspective," CES Working Papers, Centre for European Studies, Alexandru Ioan Cuza University, vol. 8(1), pages 1-19, March.
    2. Cristina-Elena ALBU, 2013. "STEREOTYPICAL FACTORS IN TOURISM -Literature review," CrossCultural Management Journal, Fundația Română pentru Inteligența Afacerii, Editorial Department, issue 1, pages 5-13, May.
    3. repec:cmj:journl:y:2013:i:28:albuce is not listed on IDEAS

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    More about this item

    Keywords

    Simulation; Stochastic processes; Cellular automata; Tourism; Business; Public Policy Issues; Management techniques; Marketing; Market segmentation; Customer behaviour model;
    All these keywords.

    JEL classification:

    • M31 - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics - - 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; Restaurants; Recreation; Tourism

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