Urban Magnetism Through The Lens of Geo-tagged Photography

TL;DR

This paper uses geotagged photos to analyze urban tourism and resident behavior, comparing global and local spatial patterns in the world's top cities to inform urban planning and tourism strategies.

Contribution

It introduces a novel methodology leveraging geotagged photography data to study city attractiveness and tourist activity at both global and local scales.

Findings

Cities differ in attractiveness based on geotagged photo data.

Mobility networks reveal strong links between certain city pairs.

Photographed hotspots indicate key tourist and resident activity zones.

Abstract

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 a touristic activity within a certain location and can help in urban organization to strengthen their touristic potential.