Urban magnetism through the lens of geo-tagged photography

被引:77
作者
Paldino, Silvia [1 ]
Bojic, Iva [2 ]
Sobolevsky, Stanislav [2 ]
Ratti, Carlo [2 ]
Gonzalez, Marta C. [3 ]
机构
[1] Univ Calabria, Dept Phys, I-87036 Arcavacata Di Rende, CS, Italy
[2] MIT, SENSEable City Lab, Cambridge, MA 02139 USA
[3] MIT, Dept Civil & Environm Engn, Cambridge, MA 02139 USA
来源
EPJ DATA SCIENCE | 2015年 / 4卷 / 01期
关键词
city attractiveness; big data; human mobility; urban planning; tourism study; smart city; complex systems; collective sensing; geo-tagged Flickr; HUMAN MOBILITY;
D O I
10.1140/epjds/s13688-015-0043-3
中图分类号
O1 [数学];
学科分类号
0701 ; 070101 ;
摘要
There is an increasing trend of people leaving digital traces through social media. This reality opens new horizons for urban studies. With this kind of data, researchers and urban planners can detect many aspects of how people live in cities and can also suggest how to transform cities into more efficient and smarter places to live in. In particular, their digital trails can be used to investigate tastes of individuals, and what attracts them to live in a particular city or to spend their vacation there. In this paper we propose an unconventional way to study how people experience the city, using information from geotagged photographs that people take at different locations. We compare the spatial behavior of residents and tourists in 10 most photographed cities all around the world. The study was conducted on both a global and local level. On the global scale we analyze the 10 most photographed cities and measure how attractive each city is for people visiting it from other cities within the same country or from abroad. For the purpose of our analysis we construct the users' mobility network and measure the strength of the links between each pair of cities as a level of attraction of people living in one city (i.e., origin) to the other city (i.e., destination). On the local level we study the spatial distribution of user activity and identify the photographed hotspots inside each city. The proposed methodology and the results of our study are a low cost mean to characterize touristic activity within a certain location and can help cities strengthening their touristic potential.
引用
收藏
页码:1 / 17
页数:17
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