Sublinear scaling of country attractiveness observed from Flickr dataset
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Sublinear scaling.pdf
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Author(s)
Bojic, Iva
Sobolevsky, Stanislav
Nizetic-Kosovic, Ivana
Podobnik, Vedran
Belyi, Alexander
Ratti, Carlo
Date Issued
March 2016
Journal
2015 IEEE International WIE Conference on Electrical and Computer Engineering (WIECON-ECE)
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Citation
Bojic, Iva et al. “Sublinear Scaling of Country Attractiveness Observed from Flickr Dataset.” 2015 IEEE International WIE Conference on Electrical and Computer Engineering (WIECON-ECE), 19-20 December, 2015, Dhaka, Bangladesh, 2015.
Version
Author's final manuscript
Abstract
The number of people who decide to share their photographs publicly increases every day, consequently making available new almost real-time insights of human behavior while traveling. Rather than having this statistic once a month or yearly, urban planners and touristic workers now can make decisions almost simultaneously with the emergence of new events. Moreover, these datasets can be used not only to compare how popular different touristic places are, but also predict how popular they should be taking into an account their characteristics. In this paper we investigate how country attractiveness scales with its population and size using number of foreign users taking photographs, which is observed from Flickr dataset, as a proxy for attractiveness. The results showed two things: to a certain extent country attractiveness scales with population, but does not with its size; and unlike in case of Spanish cities, country attractiveness scales sublinearly with population, and not superlinearly.
MIT Department
Massachusetts Institute of Technology. Department of Urban Studies and Planning
Terms of Use
Creative Commons Attribution-Noncommercial-Share Alike
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DOI of Published Version
https://doi.org/10.1109/WIECON-ECE.2015.7443924
