Exploratory analysis of the digital footprint of tourists for the identification of spatial and temporal patterns in urban destinations
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Abstract
In this paper, we use online digital footprints (i.e., geotagged photos from ‘Panoramio’) of Lisbon’s visitors, between 2007 and 2014, as a sensitive proxy for exploring tourist spatiotemporal behavior within the city. We identify the visitors’ photos from the overall dataset (> 75,000 photos) by looking at photos’ timestamps, resulting in a sample of 17,604 photos from > 5,000 users. This empirical evidence suggests that the spatial distribution of visitors is not homogenous. Then, we assess the spatial relation between the observed pattern (geographical agglomeration of visitors) and an initial set of 24 variables regarding city tourism offer. Findings from the multiple regression analysis, show that ‘Monuments of public interest’ are the elements with higher attractiveness. Furthermore, some areas located within the historic center appear underestimated, despite their significant tourism appeal considering the selected variables.
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