Análisis espacial y de contenido comparado entre residentes y turistas con el uso de datos geolocalizados de redes sociales. El caso del barrio histórico de Alfama (Lisboa)
DOI:
https://doi.org/10.14198/INTURI2021.22.5Palabras clave:
Alfama, Turismo urbano, Turistificación, Fuentes de datos masivasResumen
Los flujos de turismo hacia las grandes ciudades han aumentado drásticamente en los últimos años. En Lisboa, el distrito de Alfama está experimentando un cambio funcional debido a los nuevos patrones turísticos y a la intensificación de su uso turístico. La creciente complejidad de la planificación urbana requiere fuentes de datos en tiempo real que puedan representar la temporalidad de los flujos turísticos. En este contexto, nuestra pregunta de investigación es ¿en qué medida el uso de nuevas fuentes de datos aporta nueva información sobre el uso del espacio para el ocio y el turismo, ya sea por residentes o turistas? El método de investigación se basa en un análisis de dos años de tweets georreferenciados, diferenciando entre usuarios turísticos y usuarios residentes en Lisboa. Un análisis de distribución espacial y un análisis de contenido han revelado no solo patrones de actividad espacio-temporales sino también respuestas emocionales a las nuevas tendencias en el uso del turismo urbano, el consumo y la percepción de la presión del turismo en Alfama. Los resultados proporcionan información importante para la planificación turística y urbana sostenible.Financiación
Ministerio de Ciencia, Innovación y Universidades (Gobierno de España) y Fundação para a Ciência e Tecnologia (Portugal)Citas
Arias-Sans, A., & Quaglieri-Domínguez, A. (2016). Unravelling Airbnb: urban perspectives from Barcelona. In A. P. Russo & G. Richards (Eds.), Reinventing the local in tourism. Travel Communities and Peer-Produced Place Experiences (pp. 209-228). London: Channel View Publications. https://doi.org/10.21832/9781845415709-015
Ashworth, G., & Paje, S. J. (2011). Urban tourism research: Recent progress and current paradoxes. Tourism Management, 32(1), 1-15. https://doi.org/10.1016/j.tourman.2010.02.002
Bae, S. H., & Yun, H. J. (2017). Spatiotemporal Distribution of Visitors' Geotagged Landscape Photos in Rural Areas. Tourism Planning and Development, 14(2), 167-180. https://doi.org/10.1080/21568316.2016.1204356
Baggio, R. (2016). Big Data, Business Intelligence and Tourism: a brief analysis of the literature. Big Data & Business Intelligence in the Travel & Tourism Domain, 1-7. https://doi.org/10.1016/j.tourman.2015.10.008
Barata-Salgeiro, T. (2017). Alojamentos turísticos em Lisboa. Scripta Nova: Revista Electrónica de Geografía Y Ciencias Sociales, XXI(578), 1-43. https://doi.org/10.1344/sn2017.21.18587
Bassolas, A., Lenormand, M., Tugores, A., Gonçalves, B., & Ramasco, J. J. (2016). Touristic site attractiveness seen through Twitter. EPJ Data Science, 5(1). https://doi.org/10.1140/epjds/s13688-016-0073-5
Batista e Silva, F., Marín Herrera, M. A., Rosina, K., Ribeiro Barranco, R., Freire, S., & Schiavina, M. (2018). Analysing spatiotemporal patterns of tourism in Europe at high-resolution with conventional and big data sources. Tourism Management, 68, 101-115. https://doi.org/10.1016/j.tourman.2018.02.020
Benis, K. (2011). Vielas de Alfama. Entre Revitalização e Gentrificação. Impactos da «gentrificação» sobre a apropriação do espaço público. Universidade Técnica de Lisboa.
Birenboim, A., Reinau, K. H., Shoval, N., & Harder, H. (2015). High-Resolution Measurement and Analysis of Visitor Experiences in Time and Space: The Case of Aalborg Zoo in Denmark. Professional Geographer, 67(4), 620-629. https://doi.org/10.1080/00330124.2015.1032874
Brogueira, G., Batista, F., & Carvalho, J. P. (2016). Using geolocated tweets for characterization of Twitter in Portugal and the Portuguese administrative regions. Social Network Analysis and Mining, 6(1). https://doi.org/10.1007/s13278-016-0347-8
Calle Vaquero, M. de la. (2002). La Ciudad Histórica como Destino Turístico. Barcelona: Editorial Ariel.
Canalis, X. (2018). Las tendencias mundiales del turismo que veremos en la ITB. Hosteltur. Retrieved from https://www.hosteltur.com/126641_tendencias-mundiales-turismo-veremos-itb.html
Chua, A., Servillo, L., Marcheggiani, E., & Moere, A. Vande. (2016). Mapping Cilento: Using geotagged social media data to characterize tourist flows in southern Italy. Tourism Management, 57, 295-310. https://doi.org/10.1016/j.tourman.2016.06.013
Clerval, A., Colomb, C., & Criekingen, M. van. (2011). La gentrification des métropoles européennes. In Données urbaines (pp. 151-165). Economica Anthropos.
Cócola Gant, A. (2015). Tourism and commercial gentrification. In RC21 International Conference on "The Ideal City: between myth and reality. Representations, policies, contradictions and challenges for tomorrow's urban life (pp. 27-29). Retrieved from http://www.rc21.org/en/conferences/urbino2015
Colomb, C. (2012). A city for whom? Urban tourism, neighbourhood conflicts and planning policy in Berlin and Barcelona. In Second ISA Forum of Sociology (08/01-04). Buenos Aires.
Colomb, C., & Novy, J. (2016). Protest and resistance in the tourist city. Abingdon, Oxon & New York, NY: Routledge. https://doi.org/10.4324/9781315719306
Comito, C., Falcone, D., & Talia, D. (2016). Mining human mobility patterns from social geo-tagged data. Pervasive and Mobile Computing, 33(September 2017), 91-107. https://doi.org/10.1016/j.pmcj.2016.06.005
Cordeiro, G., & Costa, A. F. (2003). Territorio, identidad y sociedades de barrio. In J. I. Homobono & J. A. Rubio-Ardanaz (Eds.), Las culturas de la ciudad (pp. 763-785). Donostia: Eusko Ikaskuntza.
Crandall, D. J., Backstrom, L., Huttenlocher, D., & Kleinberg, J. (2009). Mapping the world's photos, 761. https://doi.org/10.1145/1526709.1526812
Davidson, M., & Lees, L. (2005). New build "gentrification" and London's riverside renaissance. Environment and Planning A, 37(7), 1165-1190. https://doi.org/10.1068/a3739
Donaire, J. A., Camprubí, R., & Galí, N. (2014). Tourist clusters from Flickr travel photography. Tourism Management Perspectives, 11, 26-33. https://doi.org/10.1016/j.tmp.2014.02.003
Feick, R., & Robertson, C. (2015). A multi-scale approach to exploring urban places in geotagged photographs. Computers, Environment and Urban Systems, 53, 96-109. https://doi.org/10.1016/j.compenvurbsys.2013.11.006
Firmino da Costa, A. (2008). Sociedade de Bairro. Dinâmicas sociais da identidade cultural. Oeiras: Celta Editora.
Florida, R. (2002). The rise of the creative class: and how it's transforming work, leisure, community and everyday life. New York: Basic Books.
Füller, H., & Michel, B. (2014). 'Stop being a tourist!' New dynamics of urban tourism in Berlin-Kreuzberg. International Journal of Urban and Regional Research, 38(4), 1304-1318. https://doi.org/10.1111/1468-2427.12124
Gago, A. (2018). O aluguer de curta duração e a gentrificação turística em Alfama, Lisboa. Universidade de Lisboa.
Garay, L., & Morales Pérez, S. (2017). Understanding the creation of destination images through a festival's Twitter conversation. International Journal of Event and Festival Management, 8(1), 39-54. https://doi.org/10.1108/IJEFM-04-2016-0030
García-Palomares, J. C., Gutiérrez, J., & Mínguez, C. (2015). Identification of tourist hot spots based on social networks: A comparative analysis of European metropolises using photo-sharing services and GIS. Applied Geography, 63, 408-417. https://doi.org/10.1016/j.apgeog.2015.08.002
Girardin Fabien, B. J., Calabrese, F., Fiore, F. D., & Ratti, C. (2008). Digital Footprinting: Uncovering Tourists with User-Generated Content. IEEE Pervasive Computing, 36-43. https://doi.org/10.1109/MPRV.2008.71
Glass, R. (1964). Introduction: aspects of change. In Centre for Urban Studies (Ed.), Aspects of Change (pp. xiii-xlii). London: MacGibbon and Kee.
Gotham, K. F. (2005). Tourism gentrification: The case of new Orleans' Vieux Carré (French Quarter). Urban Studies, 42(7), 1099-1121. https://doi.org/10.1080/00420980500120881
Hartman, C., Keating, D., & LeGates, R. (1982). Displacement: How to Fight It. Berkeley, CA: National Housing Law Project.
Hauthal, E., & Burghardt, D. (2014). Mapping Space-Related Emotions out of User-Generated Photo Metadata Considering Grammatical Issues, 0(0), 1-13. https://doi.org/10.1179/1743277414Y.0000000094
Hawelka, B., Sitko, I., Beinat, E., Sobolevsky, S., Kazakopoulos, P., & Ratti, C. (2014). Geo-located Twitter as proxy for global mobility patterns. Cartography and Geographic Information Science, 41(3), 260-271. https://doi.org/10.1080/15230406.2014.890072
Hedrick-Wong, Y., & Choong, D. (2016). Global Destination Cities Index. Mastercard.
Henar Salas-Olmedo, M., Moya-Gomez, B., Carlos Garcia-Palomares, J., & Gutierrez, J. (2018). Tourists' digital footprint in cities: Comparing Big Data sources. Tourism Management, 66, 13-25. https://doi.org/10.1016/j.tourman.2017.11.001
Hiernaux, D., & González, I. (2014). Turismo y gentrificación: pistas teóricas sobre una articulación. Revista de Geografía Norte Grande, 58, 55-70. https://doi.org/10.4067/S0718-34022014000200004
Hu, Y., Gao, S., Janowicz, K., Yu, B., Li, W., & Prasad, S. (2015). Extracting and understanding urban areas of interest using geotagged photos. Computers, Environment and Urban Systems, 54, 240-254. https://doi.org/10.1016/j.compenvurbsys.2015.09.001
Judd, D. R. (2003). Visitors and the spatial ecology of the city. In J. Hoffman, S. Fainstein, & D. R. Judd (Eds.), Cities and visitors: Regulating people, markets, and city space. Oxford: Blackwell.
Kádár, B. (2014). Measuring tourist activities in cities using geotagged photography. Tourism Geographies, 16(1), 88-104. https://doi.org/10.1080/14616688.2013.868029
Kesar, O., Deželjin, R., & Bienenfeld, M. (2011). Tourism gentrification in the city of Zagreb: Time for a debate? Interdisciplinary Management Research, 657-668.
Kim, H., & Stepchenkova, S. (2015). Effect of tourist photographs on attitudes towards destination: Manifest and latent content. Tourism Management, 49, 29-41. https://doi.org/10.1016/j.tourman.2015.02.004
Lees, L. (2008). Gentrification and social mixing: towards an uran renaissance? Urban Studies, 45(12), 2449-2470. https://doi.org/10.1177/0042098008097099
Lera I., Pérez T., Guerrero C., Eguíluz V., J. C. (2017). Analysing human mobility patterns of hiking activities through complex network theory. PLoS ONE, 12(5). https://doi.org/10.1371/journal.pone.0177712
Lestegás, I., Seixas, J., & Lois-González, R.-C. (2019). Commodifying Lisbon: A Study on the Spatial Concentration of Short-Term Rentals. Social Sciences, 8(2), 33. https://doi.org/10.3390/socsci8020033
Li, J., Xu, L., Tang, L., Wang, S., & Li, L. (2018). Big data in tourism research: A literature review. Tourism Management, 68, 301-323. https://doi.org/10.1016/j.tourman.2018.03.009
Liu, F., Zhu, X., Li, J., Sun, J., & Huang, Q. (2019). Progress of gentrification research in China: A bibliometric review. Sustainability (Switzerland), 11(2). https://doi.org/10.3390/su11020367
Lloyd, R., & Clark, T. N. (2001). The city as an entertainment machine. In K. F. Gotham (Ed.), Critical perspectives on urban redevelopment (Vol. 6, pp. 357-378). New York: Elsevier. https://doi.org/10.1016/S1047-0042(01)80014-3
Lorenz. (2019). Overtourism in Lisbon: is culture the salvation? Sirenen Und Heuler. Retrieved from https://www.sirenen-und-heuler.de/overtourism-in-lissabon-ist-kultur-die-rettung/
Mahmud, J., Nichols, J., & Drews, C. (2014). Home Location Identification of Twitter Users. ACM Transactions on Intelligent Systems and Technology, 5(3), 1-21. https://doi.org/10.1145/2528548
Maitland, R., & Newman, P. (2009). World Tourism Cities: developing Tourism off the beaten track. New York: Routledge.
Malet Calvo, F., Gago, A., & Cócola-Gant, A. (2018). Turismo, negocio inmobiliario y movimientos de resistencia en Lisboa, Portugal. In C Milano & J. A. Mansilla (Eds.), Ciudad de Vacaciones. Conflictos urbanos en espacios turísticos (Observator). Barcelona: Pol.len Edicions.
Manca, M., Boratto, L., Morell Roman, V., Martori i Gallissà, O., & Kaltenbrunner, A. (2017). Using social media to characterize urban mobility patterns: State-of-the-art survey and case-study. Online Social Networks and Media, 1(December), 56-69. https://doi.org/10.1016/j.osnem.2017.04.002
Marine-Roig, E. (2017). Measuring destination image through travel reviews in search engines. Sustainability (Switzerland), 9(8). https://doi.org/10.3390/su9081425
Marine-Roig, E., & Anton Clavé, S. (2015). Tourism analytics with massive user-generated content: A case study of Barcelona. Journal of Destination Marketing and Management, 4(3), 162-172. https://doi.org/10.1016/j.jdmm.2015.06.004
Messe Berlin. (2018). ITB Berlin and IPK International : International City Trips - A Success Story. ITB Berlin. Retrieved from https://www.itb-berlin.de/Presse/Pressemitteilungen/PDF_56725.jsp
Miah, S. J., Vu, H. Q., Gammack, J., & McGrath, M. (2017). A Big Data Analytics Method for Tourist Behaviour Analysis. Information and Management, 54(6), 771-785. https://doi.org/10.1016/j.im.2016.11.011
Milano, Claudio, Novelli, M., & Cheer, J. M. (2019). Overtourism and Tourismphobia: A Journey Through Four Decades of Tourism Development, Planning and Local Concerns. Tourism Planning & Development, 16(4), 353-357. https://doi.org/10.1080/21568316.2019.1599604
Morell, M. (2009). Fent barri: heritage tourism policy and neighbourhood scaling in Ciutat de Mallorca. Etnográfica, 13(2), 343-372. https://doi.org/10.4000/etnografica.1136
Murthy, D. (2013). Twitter: Social communication in the twitter age. John Wiley & Sons.
Okazaki, S., Andreu, L., & Campo, S. (2017). Knowledge Sharing Among Tourists via Social Media: A Comparison Between Facebook and TripAdvisor. International Journal of Tourism Research, 19(1), 107-119. https://doi.org/10.1002/jtr.2090
Pantano, E., Priporas, C. V., & Stylos, N. (2017). 'You will like it!' using open data to predict tourists' response to a tourist attraction. Tourism Management, 60, 430-438. https://doi.org/10.1016/j.tourman.2016.12.020
Philander, K., & Zhong, Y. (2016). Twitter sentiment analysis: Capturing sentiment from integrated resort tweets. International Journal of Hospitality Management, 55, 16-24. https://doi.org/10.1016/j.ijhm.2016.02.001
Raun, J., Ahas, R., & Tiru, M. (2016). Measuring tourism destinations using mobile tracking data. Tourism Management, 57, 202-212. https://doi.org/10.1016/j.tourman.2016.06.006
Russo, A. P., & Quaglieri-Domínguez, A. (2014). La lógica espacial del intercambio de casas: una aproximación a las nuevas geografías de lo cotidiano en el turismo contemporáneo. Scripta Nova: Revista Electrónica de Geografía Y Ciencias Sociales, 18(483).
Salas-Olmedo, M. H., Moya-Gómez, B., García-Palomares, J. C., & Gutiérrez, J. (2018). Tourists' digital footprint in cities: Comparing Big Data sources. Tourism Management, 66, 13-25. https://doi.org/10.1016/j.tourman.2017.11.001
Sequera, J., & Janoshka, M. (2013). Gentrification dispositifs in the historic centre of Madrid: a reconsideration of urban governmentality and state-led urban reconfiguration. In L. Lees, H. Bang Shin, & E. López-Morales (Eds.), Urban gentrifications: uneven development and displacement. London: Routledge.
Shao, H., Zhang, Y., & Li, W. (2017). Extraction and analysis of city's tourism districts based on social media data. Computers, Environment and Urban Systems, 65, 66-78. https://doi.org/10.1016/j.compenvurbsys.2017.04.010
Shi, B., Zhao, J., & Chen, P. J. (2017). Exploring urban tourism crowding in Shanghai via crowdsourcing geospatial data. Current Issues in Tourism, 20(11), 1186-1209. https://doi.org/10.1080/13683500.2016.1224820
Shoval, N. (2018). Sensing tourists: geoinformatics and the future of tourism geography research. Tourism Geographies, 20(5), 910-912. https://doi.org/10.1080/14616688.2018.1437768
Shoval, N., & Ahas, R. (2016). The use of tracking technologies in tourism research: the first decade. Tourism Geographies, 18(5), 587-606. https://doi.org/10.1080/14616688.2016.1214977
Shoval, N., Schvimer, Y., & Tamir, M. (2018). Real-Time Measurement of Tourists' Objective and Subjective Emotions in Time and Space. Journal of Travel Research, 57(1), 3-16. https://doi.org/10.1177/0047287517691155
Slater, T. (2009). Missing Marcuse: on gentrification and displacement. City, 13(2), 292-311. https://doi.org/10.1080/13604810902982250
Sotiriadis, M. D., & van Zyl, C. (2013). Electronic word-of-mouth and online reviews in tourism services: The use of twitter by tourists. Electronic Commerce Research, 13(1), 103-124. https://doi.org/10.1007/s10660-013-9108-1
UNESCO. (2012). Records of the General Conference, 36th session. Paris: United Nations Educational, Scientific and Cultural Organization (UNESCO). Retrieved from http://portal.unesco.org/en/ev.php-URL_ID=48857&URL_DO=DO_TOPIC&URL_SECTION=201.html
UNWTO. (2018). 'Overtourism'? Understanding and Managing Urban Tourism Growth beyond Perceptions Volume 2: Case Studies. World Tourism Organization. https://doi.org/10.18111/9789284420643
Urry, J. (1990). The tourit gaze. Leisure and travel in contemporary societies. London: Sage Publications.
van der Zee, E., Bertocchi, D., & Vanneste, D. (2018). Distribution of tourists within urban heritage destinations: a hot spot/cold spot analysis of TripAdvisor data as support for destination management. Current Issues in Tourism, 0(0), 1-22. https://doi.org/10.1080/13683500.2018.1491955
Vu, H. Q., Li, G., Law, R., & Ye, B. H. (2015). Exploring the travel behaviors of inbound tourists to Hong Kong using geotagged photos. Tourism Management, 46, 222-232. https://doi.org/10.1016/j.tourman.2014.07.003
Williams, N. L., Inversini, A., Ferdinand, N., & Buhalis, D. (2017). Destination eWOM: A macro and meso network approach? Annals of Tourism Research, 64, 87-101. https://doi.org/10.1016/j.annals.2017.02.007
Wilson, Jullie, & Tallon, A. (2012). Geographies of gentrification and tourism. In Julie Wilson (Ed.), The Routledge Handbook of Tourism Geographies (pp. 103-112). London: Routledge. https://doi.org/10.4324/9780203859742
Zakrisson, I., & Zillinger, M. (2012). Emotions in motion: Tourist experiences in time and space. Current Issues in Tourism, 15(6), 505-523. https://doi.org/10.1080/13683500.2011.615391
Zhang, J. (2018). Big data and tourism geographies - an emerging paradigm for future study? Tourism Geographies, 20(5), 899-904. https://doi.org/10.1080/14616688.2018.1519719
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Derechos de autor 2021 Claudia Yubero, Ana Margarida Condeço-Melhorado, María García-Hernández, Ana Catarina Fontes
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