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Destination Benchmarking with Geotagged Photographs

  • Wolfgang Koerbitz
  • Irem Önder
Conference paper

Abstract

Benchmarking tourism destinations is essential to improve and also observe what others are doing right. This process has different steps and choosing the right partners is a crucial one. Although there are many studies about how to benchmark destinations, there are no clear steps that explain how to choose destination partners. Tourists who visit the same destinations can be an indication of destination benchmarking partners. This is an explorative study to identify benchmarking partners of Austrian regions using Flickr photos. First, the regions the tourists had visited in Europe and in Austria were located. Then the destinations that share the most tourists were chosen as benchmark partners. The results show that Vienna and Salzburg can be benchmarked with cities such as Paris and Prague. The smaller regions of Tyrolian Unterland and Traunviertel can be benchmarked with neighbouring regions, which offer similar outdoor activities like skiing and hiking.

Keywords

Destination benchmarking Benchmarking partners Flickr Jaccard-coefficient 

References

  1. Boxwell, R. J. (1994). Benchmarking for competitive advantage. USA: McGraw-Hill Professional Publishing.Google Scholar
  2. De Choudhury, M., Feldman, M., Amer-Yahia, S., Golbandi, N., Lempel, R., & Yu, C. (2010). Automatic construction of travel iteneraries using social breadcrumbs. http://research.microsoft.com/en-us/um/people/munmund/pubs/ht_10_long.pdf
  3. Girardin, F., Calabrese, F., Dal Fiorre, F., Biderman, A., Ratti, C., & Blat, J. (2008). Uncovering the presence and movements of tourists from user-generated content. http://www.girardin.org/fabien/publications/girardin_tourism_statistics2008.pdf
  4. Goodall, B. (1990). Opportunity sets as analytical marketing instruments: a destination area view. In G. G. B. Ashwort (Ed.), Marketing tourism places (pp. 63–84). London: Routledge.Google Scholar
  5. Jiang, K., Yin, H., Wang, P., & Yu, N. (2013). Learning from contextual information of geo-tagged web photos to rank personalized tourism attractions. Neurocomputing, 119, 17–25.CrossRefGoogle Scholar
  6. Koerbitz, W., Önder, I., & Hubmann-Haidvogel, A. C. (2013). Identifying tourist dispersion in Austria by digital footprints information and communication technologies in tourism 2013 (pp. 495–506). Berlin: Springer.Google Scholar
  7. Kozak, M. (2004). Destination bechmarking: Concpets, practices and operations. Oxon: CABI Publishing.CrossRefGoogle Scholar
  8. Lo, I. S., McKercher, B., Lo, A., Cheung, C., & Law, R. (2011). Tourism and online photography. Tourism Management, 32, 725–731.CrossRefGoogle Scholar
  9. Mamei, M., Rosi, A., & Zambonelli, F. (2010). Automatic analysis of geotagged photos for intelligent tourist services. Paper presented at the 2010 Sixth International Conference on Intelligent Environments (IE).Google Scholar
  10. Mcnair, C. J., & Leibfried, S. (1992). Benchmarking: A tool for continuous improvement. New York: Harper Business.Google Scholar
  11. Oksanen, J., Blanchet, F. G., Kindt, R., Legendre, P., Minchin, P. R., O’Hara, R. B., & Wagner, H. (2013). Vegan: Community ecology package. R package version 2.0-9. Retrieved from http://CRAN.R-project.org/package=vegan
  12. Razmi, J., Zairi, M., & Jarrar, Y. (2000). The application of graphical techniques in evaluating benchmarking partners. Benchmarking: An International Journal, 7(4), 304–314.CrossRefGoogle Scholar
  13. Sun, Y., Fan, H., Helbich, M., & Zipf, A. (2013). Analyzing human activities through volunteered geographic information: Using Flickr to analyze spatial and temporal pattern of tourist accommodation. Lecture notes in geoinformation and cartography (pp. 57–69).Google Scholar
  14. The European Cities Marketing Benchmarking Report 9th Official Edition 2012–2013. (2013). European Cities Marketing & MODUL University Vienna.Google Scholar
  15. Watson, G. H. (1993). Strategic benchmarking: How to rate your company’s performance against the world’s best. Canada: Wiley.Google Scholar
  16. Wöber, K. (2002). Benchmarking in tourism and hospitality industries: The selection of benchmarking partners. Oxon: CABI Publishing.CrossRefGoogle Scholar
  17. Zheng, Y.-T., Zha, Z.-T., & Chua, T.-S. (2012). Mining travel patterns from geotagged photos. ACM Transactions on Intelligent Systems and Technology (TIST), 3(3), Article no 56.Google Scholar

Copyright information

© Springer International Publishing Switzerland 2013

Authors and Affiliations

  1. 1.Vienna University of Economics and BusinessViennaAustria
  2. 2.MODUL University ViennaViennaAustria

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