IDEAS home Printed from https://ideas.repec.org/h/spr/prbchp/978-3-319-47732-9_6.html
   My bibliography  Save this book chapter

Evaluation of Athens as a City Break Destination: Tourist Perspective Explored via Data Mining Techniques

In: Tourism, Culture and Heritage in a Smart Economy

Author

Listed:
  • Gerasimos Panas

    (Technological Educational Institute of Ionian Islands)

  • Georgios Heliades

    (Technological Educational Institute of Ionian Islands)

  • Constantinos Halkiopoulos

    (University of Patras Artificial Intelligence Research Center, University of Patras)

  • Dimitra Tsavalia

    (Technological Educational Institute of Ionian Islands)

  • Argyro Bougioura

    (Technological Educational Institute of Ionian Islands)

Abstract

The present study based on city tourism and specifically in the profile of tourists who visit Athens, the capital of Greece. Athens has been always considered among the most attractive tourist destinations given the fact that is known for its abundant historical and cultural inheritance and significant philosophers, historians and scientists. In recent years has been developed a different, mostly negative image. Therefore, the current study will examine those negative aspects of Athens that led to its degradation as a tourist destination and it will present the point of view not only that of experienced tourism professionals, but also that of tourists; The research aims to investigate the attractiveness and the competitiveness of Athens as a City Break destination. A survey through questionnaires has been conducted among actual international visitors of Athens, in order to explore tourists’ preferences and their perception regarding Athens image, as a City Break destination. The methodology, that was adopted, consists of two concrete phases. During the first phase, questionnaires were created and submitted. During the second phase, the data set were collected, preprocessed and analyzed based on Data Mining techniques evaluating the results. More specifically, classification algorithms were utilized so as to manage to describe hidden patterns. Also, the parameters of the algorithms were set, depending on the application cases, and the results were correlated with the demographic characteristics of the respondents, in order to evaluate and assess the significance of exported rules/conclusions. The study’s major contribution is that to identify Athens’ perceived image as a City Break Destination, and pinpoints to critical factors for achieving higher level of satisfaction in future tourists.

Suggested Citation

  • Gerasimos Panas & Georgios Heliades & Constantinos Halkiopoulos & Dimitra Tsavalia & Argyro Bougioura, 2017. "Evaluation of Athens as a City Break Destination: Tourist Perspective Explored via Data Mining Techniques," Springer Proceedings in Business and Economics, in: Vicky Katsoni & Amitabh Upadhya & Anastasia Stratigea (ed.), Tourism, Culture and Heritage in a Smart Economy, pages 85-103, Springer.
  • Handle: RePEc:spr:prbchp:978-3-319-47732-9_6
    DOI: 10.1007/978-3-319-47732-9_6
    as

    Download full text from publisher

    To our knowledge, this item is not available for download. To find whether it is available, there are three options:
    1. Check below whether another version of this item is available online.
    2. Check on the provider's web page whether it is in fact available.
    3. Perform a search for a similarly titled item that would be available.

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Stamoulis, Giorgos & Papavasileiou, Niovi & Gkintoni, Evgenia & Halkiopoulos, Constantinos & Antonopoulou, Hera, 2017. "Associations of Personality Traits and Emotional Intelligence In Social Network Consumers via Data Mining Techniques," OSF Preprints 8qtak, Center for Open Science.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:spr:prbchp:978-3-319-47732-9_6. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.