RT Journal Article
T1 Tourists' digital footprint in cities: Comparing Big Data sources
A1 Salas Olmedo, María Henar
A1 Moya Gómez, Borja
A1 García Palomares, Juan Carlos
A1 Gutiérrez Puebla, Javier
AB There is little knowledge available on the spatial behaviour of urban tourists, and yet tourists generate an enormous quantity of data when they visit cities. These data sources can be used to track their presence through their activities. The aim of this paper is to analyse the digital footprint of urban tourists through Big Data. Unlike other papers that use a single data source, this article examines three sources of data to reflect different tourism activities in cities: Panoramio (sightseeing), Foursquare (consumption), and Twitter (being connected-accommodation). The results show that the data from the three activities are partly spatially redundant and partly complementary, and allow the characterisation of multifunction tourist spaces and spaces specialising in one or various activities. The main conclusion is that it is not sufficient to use one data source to analyse the presence of tourists in cities; several must be used in a complementary manner.
PB Elselvier
SN 0261-5177
YR 2018
FD 2018
LK https://hdl.handle.net/20.500.14352/95123
UL https://hdl.handle.net/20.500.14352/95123
LA eng
NO Salas-Olmedo, María Henar, Borja Moya-Gómez, Juan Carlos García-Palomares, y Javier Gutiérrez. «Tourists’ Digital Footprint in Cities: Comparing Big Data Sources». Tourism Management 66 (junio de 2018): 13-25. https://doi.org/10.1016/j.tourman.2017.11.001.
NO European Commission 
NO Ministerio de Economía y Competitividad (España)
NO Comunidad de Madrid
DS Docta Complutense
RD 10 abr 2025