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A micro-simulation model for e-services in cultural heritage tourism

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  • Leeuwen, E. van

    (Vrije Universiteit Amsterdam, Faculteit der Economische Wetenschappen en Econometrie (Free University Amsterdam, Faculty of Economics Sciences, Business Administration and Economitrics)

  • Nijkamp, P.

Abstract

Tourism is on a rising curve from both a policy and research perspective. This paper aims to present new research advances on individual tourist behaviour and motives, with particular reference to the role of e-services in cultural heritage tourism. An innovative tool used here is (spatial) micro-simulation modelling (MSM). This method will be used to offer a micro-based picture of the motives and behaviour of the total tourist and resident population concerned, including their preferences and personal characteristics. MSM is a novel, but hitherto hardly used, scientific tool in the behavioural analysis of cultural heritage tourism, mainly because of the lack of detailed and consistent (spatial) information on tourist flows and their characteristics at an urban scale. MSM is a powerful tool, as one of its advantages is its ability to link existing databases and information, so as to provide new behavioural insights at the meso-level of research. To trace empirically the motives, preferences and spatial behaviour of tourists, advanced micro-based research techniques are needed. In our empirical application to tourist flows in the city of Amsterdam we use factor analysis and ordered logit models as the foundation stones for the design of MSM. Our empirical model is then applied to the use of e-services by tourists in Amsterdam who wish to enjoy the cultural heritage of that city.

Suggested Citation

  • Leeuwen, E. van & Nijkamp, P., 2009. "A micro-simulation model for e-services in cultural heritage tourism," Serie Research Memoranda 0047, VU University Amsterdam, Faculty of Economics, Business Administration and Econometrics.
    • Handle: RePEc:vua:wpaper:2009-47
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    References listed on IDEAS

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    1. Patrizia Riganti & Peter Nijkamp, 2008. "Congestion in Popular Tourist Areas: A Multi-Attribute Experimental Choice Analysis of Willingness-to-Wait in Amsterdam," Tourism Economics, , vol. 14(1), pages 25-44, March.
    2. van Sonsbeek, J.M. & Gradus, R.H.J.M., 2006. "A microsimulation analysis of the 2006 regime change in the Dutch disability scheme," Economic Modelling, Elsevier, vol. 23(3), pages 427-456, May.
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    Cited by:

    1. Irina Maiorescu & Mihai Teodor Negrea & Dorin Vicen?iu Popescu & Gabriel Cristian Sabou, 2016. "Best Practices Regarding the Use of Electronic Environment for Romanian Tourism Development," The AMFITEATRU ECONOMIC journal, Academy of Economic Studies - Bucharest, Romania, vol. 18(42), pages 474-474, May.
    2. Bart Neuts & João Romão & Peter Nijkamp & Eveline Leeuwen, 2013. "Digital destinations in the tourist sector: a path model for the impact of e-services on tourist expenditures in Amsterdam," Letters in Spatial and Resource Sciences, Springer, vol. 6(2), pages 71-80, July.
    3. Cathal O'Donoghue & Karyn Morrissey & John Lennon, 2014. "Spatial Microsimulation Modelling: a Review of Applications and Methodological Choices," International Journal of Microsimulation, International Microsimulation Association, vol. 7(1), pages 26-75.
    4. Bart Neuts & João Romão & Eveline van Leeuwen & Peter Nijkamp, 2013. "Describing the Relationships between Tourist Satisfaction and Destination Loyalty in a Segmented and Digitalized Market," Tourism Economics, , vol. 19(5), pages 987-1004, October.
    5. Mitsche Nicole & Strielkowski Wadim, 2016. "Tourism e-services and Jewish heritage: a case study of Prague," European Journal of Tourism, Hospitality and Recreation, Sciendo, vol. 7(3), pages 203-211, December.

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