Using mobile data to evaluate unobserved tourist overnight stays

[en] Tourist overnight stays are difficult to estimate properly due to the substantial gaps in the official data and the multiple types of accommodation. This trend has been accentuated with the emergence of new forms of accommodation resulting from the development of information and communication technologies and collaborative economies. Several studies have highlighted the importance of quantifying these accommodations because of their social, economic and environmental consequences for tourism destinations. This article explores the use of mobile data analysis as a complementary approach to official statistics to quantify the tourist overnight stays in the Walloon region. The mobile data highlight several aspects of tourism that are ignored by official statistics and raise questions about the underestimation and the current definition of a tourist. However, important limitations to this approach have been identified and are discussed.

Research Center/Unit :

Laplec

Disciplines :

Human geography & demography

Author, co-author :

Nyns, Symi ; Université de Liège - ULiège > Département de géographie > Service de géographie rurale (LAPLEC)

Schmitz, Serge ; Université de Liège - ULiège > Département de géographie > Service de géographie rurale (LAPLEC)

Language :

English

Title :

Using mobile data to evaluate unobserved tourist overnight stays

Alternative titles :

[fr] Utilisation des données mobiles pour évaluer la sous-estimation des nuitées touristiques

Publication date :

2022

Journal title :

Tourism Management

ISSN :

0261-5177

eISSN :

1879-3193

Publisher :

Elsevier, London, United Kingdom

Volume :

Peer reviewed :

Peer Reviewed verified by ORBi

Funders :

F.R.S.-FNRS - Fonds de la Recherche Scientifique

Available on ORBi :

since 06 November 2021

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Bibliography

Ahas, R., Aasa, A., Mark, Ü., Pae, T., Kull, A., Seasonal tourism spaces in Estonia: Case study with mobile positioning data. Tourism Management 28 (2007), 898–910, 10.1016/j.tourman.2006.05.010.
Ahas, R., Aasa, A., Roose, A., Mark, Ü., Silm, S., Evaluating passive mobile positioning data for tourism surveys: An Estonian case study. Tourism Management 29 (2008), 469–486, 10.1016/j.tourman.2007.05.014.
Baggio, R., Scaglione, M., Strategic visitor flows and destination management organization. Information Technology & Tourism 18 (2017), 29–42, 10.1007/s40558-017-0096-1.
Becker, R., Caceres, R., Hanson, K., Isaacman, S., Meng Loh, J., Martonosi, M., Rowland, J., Urbanek, S., Varshavsky, A., Volinsky, C., Human mobility characterization from cellular network data. Communications of the ACM, 56(1), 2013, 8, 10.1145/2398356.2398375.
Cesarani, M., Nechita, F., Tourism and the sharing economy. An evidence from Airbnb usage in Italy and Romania. Symphonya. Emerging Issues in Management(3), 2017, 32–47, 10.4468/2017.3.04cesarani.nechita.
Chua, E.L., Chiu, J.L., Bool, N.C., Sharing economy: An analysis of Airbnb business model and the factors that influence consumer adoption. Review of Integrative Business and Economics Research 8:2 (2019), 19–37.
Cocola-Gant, A., Airbnb and the rent gap: Gentrification through the sharing economy. Sociological Research Online, 21(3), 2016, 9, 10.5153/sro.4071.
Cousin, G., Hillaireau, F., Can mobile phone data improve the measurement of international tourism in France?. Economie et Statistique/Economics and Statistics(505–506), 2018, 89–107, 10.24187/ecostat.2018.505d.1967.
Coyle, D., Yu-Cheong Yeung, T., Understanding Airbnb in fourteen European cities. The jean-jacques laffont digital chair. 2016.
De Cantis, S., Parroco, A.-M., Ferrante, M., Vaccina, F., Unobserved tourism. Annals of Tourism Research 50 (2015), 1–18, 10.1016/j.annals.2014.10.002.
Debusschere, M., Lusyne, P., Dewitte, P., Baeyens, Y., De Meersman, F., Seynaeve, G., Wirthmann, A., Demunter, C., Reis, F., Reuter, H.I., Big data et statistiques : Un recensement tous les quarts d'heure. 2016, 22.
Decrop, A., (eds.) La consommation collaborative. Enjeux et défis de la nouvelle société du partage, 2017, De Boeck Supérieur, Louvain-la-Neuve, 352.
Dubois, C., Schmitz, S., What is the position of agritourism on the Walloon tourist market?. European Countryside 5:4 (2013), 295–307, 10.2478/euco-2013-0019.
Eurostat, Feasibility study on the use of mobile phone positioning data for tourism statistics. Consolidated report Eurostat contract., 2014 N°30501.2012.001-2012.452.
Fang, B., Ye, Q., Law, R., Effect of sharing economy on tourism industry employment. Annals of Tourism Research 57 (2015), 264–267, 10.1016/j.annals.2015.11.018.
Forno, F., Garibaldi, R., Between low cost and environmental concern. A research on Italian Home Swappers' profile and motivation. Conference paper: 5th world conference for graduate research in tourism, hospitality and leisure, 2010, 9.
Giachino, C., Re, P., Cantino, V., Collaborative consumption and tourism: Online travelers' experience. Symphonya. Emerging Issues in Management(3), 2017, 148–160, 10.4468/2017.3.13giachino.re.cantino.
GSMA, The mobile economy 2020. 2020, GSM Association, 62 https://www.gsma.com/mobileeconomy/wp-content/uploads/2020/03/GSMA_MobileEconomy2020_Global.pdf.
Gunn, C., Var, T., Tourism planning basics, concepts, cases. 4th ed., 2002, Routledge, New York.
Gunter, U., Önder, I., Determinants of Airbnb demand in Vienna and their implications for the traditional accommodation industry. Tourism Economics 24:3 (2017), 270–293, 10.1177/1354816617731196.
Gurran, N., Phibbs, P., When tourists move in: How should urban planners respond to Airbnb?. Journal of the American Planning Association 83:1 (2017), 80–92, 10.1080/01944363.2016.1249011.
Gutiérrez, J., Garcia-Palomares, J.C., Romanillos, G., Salas-Olmedo, M.H., The eruption of Airbnb in tourist cities: Comparing spatial patterns of hotels and peer-to-peer accommodation in barcelona. Tourism Management 62 (2017), 278–291, 10.1016/j.tourman.2017.05.003.
Guttentag, D., Airbnb: Disruptive innovation and the rise of an informal tourism accommodation sector. Current Issues in Tourism 18:12 (2015), 1192–1217, 10.1080/13683500.2013.827159.
Guttentag, D., Progress on Airbnb: A literature review. Journal of Hospitality and Tourism Technology 10:4 (2019), 814–844, 10.1108/JHTT-08-2018-007.
Gwiazdzinski, L., La nuit, dernière frontière. Les Annales de la recherche urbaine 87:1 (2000), 81–88, 10.3406/aru.2000.2339.
Ioannides, D., Röslmaier, M., Van der Zee, E., Airbnb as an instigator of ‘tourism bubble’ expansion in Utrecht's Lombok neighbourhood. Tourism Geographies, 2018, 19, 10.1080/14616688.2018.1454505.
Juric, J., Lindenmeier, J., Arnold, C., Do emotional solidarity factors mediate the effect of personality traits on the inclination to use nonmonetary peer-to-peer accommodation networks?. Journal of Travel Research, 2020, 18p, 10.1177/0047287519895127.
Ključnikov, A., Krajčík, V., Vincúrová, Z., International sharing economy: The case of AirBnB in the Czech republic. Economics and Sociology 11:2 (2018), 126–137, 10.14254/2071-789X.2018/11-2/9.
Kubo, T., Uryu, S., Yamano, H., Tsuge, T., Yamakita, T., Shirayama, Y., Mobile phone network data reveal nationwide economic value of coastal tourism under climate change. Tourism Management, 77, 2020, 9p, 10.1016/j.tourman.2019.104010.
Li, J., Xu, L., Tang, L., Wang, S., Li, L., Big data in tourism research: A literature review. Tourism Management 68 (2018), 301–323, 10.1016/j.tourman.2018.03.009.
Prayag, G., Ozanne, L., A systematic review of peer-to-peer (P2P) accommodation sharing research from 2010 to 2016: Progress and prospects from the multi-level perspective. Journal of Hospitality Marketing & Management 27:6 (2018), 649–678, 10.1080/19368623.2018.1429977.
Raimond, A.-M., Couronné, T., Fen-Chong, J., et Smoreda, Z., Le Paris des visiteurs étrangers, qu'en disent les téléphones mobiles?. Revue Internationale de Géomatique 22:3 (2012), 413–437.
Raun, J., Ahas, R., Tiru, M., Measuring tourism destinations using mobile tracking data. Tourism Management 57 (2016), 202–212, 10.1016/j.tourman.2016.06.006.
Sakarovitch, B., de Bellefon, M.-P., Givord, P., Vanhoof, M., Estimating the residential population form mobile phone data, an initial exploration. Economie et Statistique/Economics and Statistics(505–506), 2018, 109–132, 10.24187/ecostat.2018.505d.1968.
Schmitz, S., A ‘Dutch vision’ of community based tourism: Dutch people in the Belgian Ardennes. Mary cawley, ana maria bicalho, lucette laurens, the sustainability of rural systems: Global and local challenges and opportunities, 2013, CSRS of the IGU and the Whitaker Institute, NUI Galway, 218–225.
Sikder, R., Uddin, M.J., Halder, S., An efficient approach of identifying tourist by call detail record analysis. Conference paper: International workshop on computational intelligence (IWCI), 2016, 10.1109/IWCI.2016.7860354.
SPF Economie. Baromètre de la société de l'information (2018). Service public fédéral Economie. 2018, P.M.E., Classes moyennes et Energie.
Stock, M., Coëffé, V., Violier, P., Les enjeux contemporains du tourisme. Une approche géographique. 2017, Presses Universitaires de Rennes, Didact Géographie, Rennes, 500.
Tussyadiah, I.P., Pesonen, J., Impacts of peer-to-peer accommodation use on travel patterns. Journal of Travel Research 55:8 (2015), 1022–1040, 10.1177/0047287515608505.
UBT (Union Belge du Transport) – FGTB. Livre noir « La sécurité sur les parkings autoroutiers en Belgique ». 2015 Consulté le 08/09/2020 https://www.btb-abvv.be/images/WegvervoerEnLogistiek/campagne/parkings/Parkingboek_2015_FR.pdf.
Varma, A., Jukic, N., Pestek, A., Shultz, C.J., Nestorov, S., Airbnb: Exciting innovation or passing fad?. Tourism Management Perspectives 20 (2016), 228–237, 10.1016/j.tmp.2016.09.002.
Vece, P., Observation des données de la téléphonie mobile. Des perspectives prometteuses qui restent à confirmer. Espace, 316, 2014, 7.