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Sublinear scaling of country attractiveness observed from Flickr dataset

Author(s)
Bojic, Iva; Sobolevsky, Stanislav; Nizetic-Kosovic, Ivana; Podobnik, Vedran; Belyi, Alexander; Ratti, Carlo; ... Show more Show less
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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.
Date issued
2016-03
URI
http://hdl.handle.net/1721.1/109842
Department
Massachusetts Institute of Technology. Department of Urban Studies and Planning
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
ISBN
978-1-4673-8786-6

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