Sublinear scaling of country attractiveness observed from Flickr dataset
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 decision...
| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | en_US |
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Institute of Electrical and Electronics Engineers (IEEE)
2017
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| Online Access: | http://hdl.handle.net/1721.1/109842 https://orcid.org/0000-0002-4664-3349 https://orcid.org/0000-0003-2026-5631 |
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| author | Bojic, Iva Sobolevsky, Stanislav Nizetic-Kosovic, Ivana Podobnik, Vedran Belyi, Alexander Ratti, Carlo |
| author2 | Massachusetts Institute of Technology. Department of Urban Studies and Planning |
| author_facet | Massachusetts Institute of Technology. Department of Urban Studies and Planning Bojic, Iva Sobolevsky, Stanislav Nizetic-Kosovic, Ivana Podobnik, Vedran Belyi, Alexander Ratti, Carlo |
| author_sort | Bojic, Iva |
| collection | MIT |
| description | 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. |
| first_indexed | 2024-09-23T16:03:22Z |
| format | Article |
| id | mit-1721.1/109842 |
| institution | Massachusetts Institute of Technology |
| language | en_US |
| last_indexed | 2024-09-23T16:03:22Z |
| publishDate | 2017 |
| publisher | Institute of Electrical and Electronics Engineers (IEEE) |
| record_format | dspace |
| spelling | mit-1721.1/1098422022-10-02T06:01:49Z Sublinear scaling of country attractiveness observed from Flickr dataset Bojic, Iva Sobolevsky, Stanislav Nizetic-Kosovic, Ivana Podobnik, Vedran Belyi, Alexander Ratti, Carlo Massachusetts Institute of Technology. Department of Urban Studies and Planning Bojic, Iva Ratti, Carlo 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. Singapore-MIT Alliance for Research and Technology (SMART) Accenture (Firm) Air liquide (Firm) Coca-Cola Company Ericsson (Firm) Volkswagen Electronics Research Lab Uber (Firm) MIT Senseable City Lab Consortium 2017-06-13T19:58:53Z 2017-06-13T19:58:53Z 2016-03 2015-12 Article http://purl.org/eprint/type/JournalArticle 978-1-4673-8786-6 http://hdl.handle.net/1721.1/109842 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. https://orcid.org/0000-0002-4664-3349 https://orcid.org/0000-0003-2026-5631 en_US http://dx.doi.org/10.1109/WIECON-ECE.2015.7443924 2015 IEEE International WIE Conference on Electrical and Computer Engineering (WIECON-ECE) Creative Commons Attribution-Noncommercial-Share Alike http://creativecommons.org/licenses/by-nc-sa/4.0/ application/pdf Institute of Electrical and Electronics Engineers (IEEE) arXiv |
| spellingShingle | Bojic, Iva Sobolevsky, Stanislav Nizetic-Kosovic, Ivana Podobnik, Vedran Belyi, Alexander Ratti, Carlo Sublinear scaling of country attractiveness observed from Flickr dataset |
| title | Sublinear scaling of country attractiveness observed from Flickr dataset |
| title_full | Sublinear scaling of country attractiveness observed from Flickr dataset |
| title_fullStr | Sublinear scaling of country attractiveness observed from Flickr dataset |
| title_full_unstemmed | Sublinear scaling of country attractiveness observed from Flickr dataset |
| title_short | Sublinear scaling of country attractiveness observed from Flickr dataset |
| title_sort | sublinear scaling of country attractiveness observed from flickr dataset |
| url | http://hdl.handle.net/1721.1/109842 https://orcid.org/0000-0002-4664-3349 https://orcid.org/0000-0003-2026-5631 |
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