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Heritage Tourism, Thematic Routes and Possibilities for Innovation

Author

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  • Katalin Nagy

    () (University of Miskolc)

Abstract

Heritage tourism is a recently “fashionable” phenomenon, also an answer for present-day trends. Views are different concerning what belongs to this concept; some consider only cultural values, some others rank natural values as well, and parts of the World Heritage have unique place among them. Thematic routes are a special opportunity for heritage tourism, targeting new groups by additional programs and attractions, making them more interesting, attractive and diversified. They play an important role in common European programs, too, like the Cultural Routes Program of the European Council. When developing thematic routes, especially those based on heritage elements, there are a number of special aspects which have to be taken into account, like authenticity and local initiation. Experiencing globalisation in tourism as well, we can state that success is based on innovation. Regarding heritage tourism, product, service, organisation and process innovations are equally required as new ways of being competitive.

Suggested Citation

  • Katalin Nagy, 2012. "Heritage Tourism, Thematic Routes and Possibilities for Innovation," Theory Methodology Practice (TMP), Faculty of Economics, University of Miskolc, vol. 8(01), pages 46-53.
  • Handle: RePEc:mic:tmpjrn:v:8:y:2012:i:01:p:46-53
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    File URL: http://tmp.gtk.uni-miskolc.hu/volumes/2012/01/TMP_2012_01_07_Nagy_Katalin.pdf
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    References listed on IDEAS

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    1. Chris Birchenhall & Nikos Kastrinos & Stan Metcalfe, 1997. "Genetic algorithms in evolutionary modelling," Journal of Evolutionary Economics, Springer, pages 375-393.
    2. Thomas Riechmann, 1999. "Learning and behavioral stability An economic interpretation of genetic algorithms," Journal of Evolutionary Economics, Springer, pages 225-242.
    3. Thomas Brenner, 1998. "Can evolutionary algorithms describe learning processes?," Journal of Evolutionary Economics, Springer, pages 271-283.
    4. Birchenhall, Chris, 1995. "Modular Technical Change and Genetic Algorithms," Computational Economics, Springer;Society for Computational Economics, vol. 8(3), pages 233-253, August.
    Full references (including those not matched with items on IDEAS)

    More about this item

    Keywords

    Heritage; thematic routes; heritage development project; tourism innovation;

    JEL classification:

    • L83 - Industrial Organization - - Industry Studies: Services - - - Sports; Gambling; Restaurants; Recreation; Tourism

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