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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.


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.

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Paper provided by VU University Amsterdam, Faculty of Economics, Business Administration and Econometrics in its series Serie Research Memoranda with number 0047.

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Date of creation: 2009
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Handle: RePEc:dgr:vuarem:2009-47

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  1. Riganti, Patrizia & Nijkamp, Peter, 2007. "Congestion in popular tourist areas: A multi-attribute experimental choice analysis Of willingness-to-wait in amsterdam," Serie Research Memoranda 0009, VU University Amsterdam, Faculty of Economics, Business Administration and Econometrics.
  2. Merz, Joachim, 1991. "Microsimulation -- A survey of principles, developments and applications," International Journal of Forecasting, Elsevier, vol. 7(1), pages 77-104, May.
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Cited by:
  1. Gromicho, J.A.S. & Hoorn, J.J. van & Timmer, G.T., 2009. "Exponentially better than brute force: solving the jobshop scheduling problem optimally by dynamic programming," Serie Research Memoranda 0056, VU University Amsterdam, Faculty of Economics, Business Administration and Econometrics.


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