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Towards Developing Smart Cities: Evidence from GIS Analysis on Tourists’ Behavior Using Social Network Data in the City of Athens

In: Smart Tourism as a Driver for Culture and Sustainability

Author

Listed:
  • Athanasios Koutras

    (Technical Educational Institute of Western Greece)

  • Ioannis A. Nikas

    (Technical Educational Institute of Western Greece)

  • Alkiviadis Panagopoulos

    (Technical Educational Institute of Western Greece)

Abstract

The evolution of web along with the technological explosion in web technologies and social networks has made internet a “place” where someone can post his/her tourist digitalized experiences easily, while these are made available and accessed worldwide almost instantly. In addition, such information is usually associated with features related to users’ location and temporal position. This rapid development gives the motive for the creation of smart cities and corresponding smart tourism ecosystems. In this work, a density-based spatial clustering method is applied on posts from photo-sharing social media, to analyze geo-tagged data emanating from an urban area. The aim of this research is mainly to reveal the most important spots in well-known landmarks inside an urban area, and explore the visiting tendencies of tourists of these spots. The proposed method was applied on the city of Athens, and our results are presented using data from the Flickr photo-sharing web service.

Suggested Citation

  • Athanasios Koutras & Ioannis A. Nikas & Alkiviadis Panagopoulos, 2019. "Towards Developing Smart Cities: Evidence from GIS Analysis on Tourists’ Behavior Using Social Network Data in the City of Athens," Springer Proceedings in Business and Economics, in: Vicky Katsoni & Marival Segarra-Oña (ed.), Smart Tourism as a Driver for Culture and Sustainability, chapter 0, pages 407-418, Springer.
    • Handle: RePEc:spr:prbchp:978-3-030-03910-3_28
    DOI: 10.1007/978-3-030-03910-3_28
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    Citations

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    Cited by:

    1. Bidur Devkota & Hiroyuki Miyazaki & Apichon Witayangkurn & Sohee Minsun Kim, 2019. "Using Volunteered Geographic Information and Nighttime Light Remote Sensing Data to Identify Tourism Areas of Interest," Sustainability, MDPI, vol. 11(17), pages 1-29, August.

    More about this item

    Keywords

    Smart tourism; Social media analytics; Spatial-temporal analysis; Cluster analysis;
    All these keywords.

    JEL classification:

    • C38 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Classification Methdos; Cluster Analysis; Principal Components; Factor Analysis
    • C55 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Large Data Sets: Modeling and Analysis
    • L83 - Industrial Organization - - Industry Studies: Services - - - Sports; Gambling; Restaurants; Recreation; Tourism
    • Z32 - Other Special Topics - - Tourism Economics - - - Tourism and Development

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