Part of the book series:New Frontiers in Regional Science: Asian Perspectives ((NFRSASIPER,volume 47))
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Abstract
A quasi-continuous rise in tourist arrivals throughout Europe has raised increasing concerns of overtourism among destination management organizations and public administrations. While the uptick in academic attention to the topic has been significant during the past 5 years, operationalization of the crowding-indicator is still often limited to supply-sided optimization studies or traditional resident and visitor surveys. Advances in big data availability and analysis have opened up new possibilities for data collection and monitoring. In this chapter we will evaluate tourist crowding perception in Bruges by applying computational text analysis on 6580 TripAdvisor reviews. The analysis will explore the opportunities of consumer-generated data for continuous crowding sentiment tracking while avoiding the necessity for expensive and infrequent formal visitor surveys.
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References
Aiello JR, DeRisi D, Epstein YM, Karlin RA (1977) Crowding and the role of interpersonal distance preference. Sociometry 40:271–282
Aiello JR, Baum A, Gormley F (1981) Social determinants of residential crowding stress. Pers Soc Psychol B 7:643–649
Arel-Bundock V, Enevoldsen N, Yetman CJ (2018) Countrycode: An R package to convert country names and country codes. J Open Source Softw 3(28):848
Arun R, Suresh V, Veni Madhavan CE, Narasimha Murthy NM (2010) On finding the natural number of topics with latent Dirichlet allocation: some observations. In: Zaki MJ, Xu Yu J, Ravindran B, Pudi V (eds) Advances in knowledge discovery and data mining. Springer, Heidelberg, pp 391–402
Ayeh JK, Au N, Law R (2013) “Do we believe in TripAdvisor?” Examining credibility perceptions and online travellers’ attitude toward using user-generated content. J Travel Res 52(4):437–452
Baum A, Davis G (1980) Reducing the stress of high-density living: an architectural intervention. J Pers Soc Psychol 38:471–481
Benoit K, Watanabe K, Wang H, Nulty P, Obeng A, Müller S, Matsuo A (2018) Quanteda: an R package for the quantitative analysis of textual data. J Open Source Softw 3(30):774
Bertocchi D, Camatti N, Giove S, van der Borg J (2020) Venice and overtourism: simulating sustainable development scenarios through a tourism carrying capacity model. Sustain For 12:512
Blei DM, Ng AY, Jordan MI (2003) Latent Dirichlet allocation. J Mach Learn Res 3:993–1022
Braun V, Clarke V (2006) Using thematic analysis in psychology. J Qual Res Psycjol 3(2):77–101
Buchmann A, Moore K, Fisher D (2010) Experiencing film tourism: authenticity and fellowship. Ann Tour Res 37(1):229–248
Burns PM (2004) Tourism planning: a third way? Ann Tour Res 31(1):24–43
Cao J, Xia T, Li J, Zhang Y, Tang S (2009) A density-based method for adaptive lDA model selection. Neurocomputing 72(7-9):1775–1781
Capocchi A, Vallone C, Amaduzzi A, Pierotti M (2019) Is ‘overtourism’ a new issue in tourism development or just a new term for an already known phenomenon? Curr Issues Tour.https://doi.org/10.1080/13683500.2019.1638353
Choi SC, Mirjafari A, Weaver HB (1976) The concept of crowding: a critical review and proposal of an alternative approach. Environ Behav 8:345–362
Cole DN, Steward WP (2002) Variability of user-based evaluative standards for backcountry encounters. Leis Sci 24:313–324
Deveaud R, SanJuan E, Bellot P (2014) Accurate and effective latent concept modeling for ad hoc information retrieval. Doc Numér 17(1):61–84
Donnelly MP, Vaske JJ, Whittaker D, Shelby B (2000) Toward an understanding of norm prevalence: a comparative analysis of 20 years of research. Environ Manag 25(4):403–414
du Cros H (2007) Too much of a good thing? Visitor congestion management issues for popular World Heritage tourist attractions. J Herit Tour 2(3):225–238
Griffiths TL, Steyvers M (2004) Finding scientific topics. Proc Natl Acad Sci 101(1):5228–5235
Grimmer J, Stewart BM (2013) Text as data: the promise and pitfalls of automatic content analysis methods for political texts. Polit Anal 21(3):267–297
Grun B, Hornik K (2011) Topicmodels: an R package for fitting topic models. J Stat Softw 40(13):1–30
Heywood JL (1993) Behavioural conventions in higher density, day use wildland/urban recreation settings: a preliminary case study. J Leisure Res 25:39–52
Jansen-Verbeke MC, Ashworth G (1990) Environmental integration of recreation and tourism. Ann Tour Res 17(4):618–622
Kaufmann M, Siegfried P, Huck L, Stettler J (2019) Analysis of tourism hotspot behaviour based on geolocated travel blog data: the case of Qyer. Int J Geo Inf 8:493
Kirilenko AP, Stepchenkova SO, Kim H, Li X (2018) Automated sentiment analysis in tourism: comparison of approaches. J Travel Res 57(8):1012–1025
Kuentzel W, Heberlein T (2003) More visitors, less crowding: change and stability of norms over time at the Apostle Islands. J Leisure Res 36(2):349–371
Kyle G, Graefe AR, Manning RE, Bacon J (2004) Effect of activity involvement and place attachment on recreationists’ perceptions of setting density. J Leis Res 36(2):209–231
Magnini VP, Crotts JC, Zehrer A (2011) Understanding customer delight: an application of travel blog analysis. J Travel Res 50(5):535–545
Manning RE (1999) Crowding and carrying capacity in outdoor recreation: from normative standards to standards of quality. In: Jackson EL, Burton TL (eds) Leisure studies: prospects for the twenty-first century. Venture Publishing Inc., State College, pp 323–334
Manning RE, Valliere WA, Wang B, Jacobi C (1999) Crowding norms: alternative measurement approaches. Leis Sci 21:97–115
McCool SF, Lime DW (2001) Tourism carrying capacity: tempting fantasy or useful reality? J Sustain Tour 9(5):372–388
Namberger P, Jackisch S, Schmude J, Karl M (2019) Overcrowding, overtourism and local level disturbance: how much can Munich handle? Tour Plan Dev 16(4):452–472
Neuts B (2016) An econometric approach to crowding in touristic city centres: Evaluating the utility effect on local residents. Tour Econ 22(5):1055–1074
Neuts B, Nijkamp P (2012) Tourist crowding perception and acceptability in cities: an applied modelling study on Bruges. Ann Tour Res 39(4):2133–2153
O’Connor P (2008) User-generated content and travel: a case study on Tripadvisor.com. Spring Comp Sci 2008:47–58
Patterson ME, Hammitt WE (1990) Backcountry encounter norms, actual reported encounters, and their relationship to wilderness solitude. J Leis Res 22(3):259–275
Paulus PB, Matthews R (1980) Crowding attribution, and task performance. Basic Appl Soc Psychol 1:3–14
Peeters P, Gössling S, Klijs J, Milano C, Novelli M, Dijkmans C, Eijgelaar E, Hartman S, Heslinga J, Isaac R, Mitas O, Moretti S, Nawijn J, Papp B, Postma A (2018) Research for TRAN Committee - Overtourism: impact and possible policy responses. European Parliament, Policy Department for Structural and Cohesion Policies, Brussels
Presi C, Saridakis C, Hartmans S (2014) User-generated content behaviour of the dissatisfied service customer. Eur J Mark 48(9/10):1600–1625
Russo AP (2002) The “vicious circle” of tourism development in heritage cities. Ann Tour Res 29(1):165–182
Saarinen J (2006) Traditions of sustainability in tourism studies. Ann Tour Res 33(4):1121–1140
Saveriades A (2000) Establishing the social tourism carrying capacity for the tourist resorts of the east coast of the Republic of Cyprus. Tour Manag 21:147–156
Shelby B, Vaske JJ, Heberlein TA (1989) Comparative analysis of crowding in multiple locations: results from fifteen years of research. Leis Sci 11:269–291
Shi B, Zhao J, Chen P-J (2017) Exploring urban tourism crowding in Shanghai via crowdsourcing geospatial data. Curr Issue Tour 20(11):1186–1209
Simón FJG, Narangajavana Y, Marqués DP (2004) Carrying capacity in the tourism industry: a case study of Hengistbury Head. Tour Manag 25:275–283
Steward WP, Cole DN (2001) Number of encounters and experience quality in Grand Canyon Backcountry: consistently negative and weak relationship. J Leis Res 33(1):106–120
Stokols D (1976) The experience of crowding in primary and secondary environments. Environ Behav 8:49–86
Toerisme Vlaanderen (2019) Toerisme in Cijfers (gegevens verblijfstoerisme).https://www.toerismevlaanderen.be/toerisme-cijfers-2018-xl. Accessed 19 Dec 2019
Tseng C, Wu B, Morrison AM, Zhang J, Chen Y-C (2015) Travel blogs on China as a destination image formation agent: a qualitative analysis using Leximancer. Tour Manag 46:347–358
UNESCO (n.d.) Historic Centre of Brugge.https://whc.unesco.org/en/list/996. Accessed 19 Mar 2020
Vaismoradi M, Jones J, Turunen H, Snelgrove S (2016) Theme development in qualitative content analysis and thematic analysis. J Nurs Educ Pract 6(5):100–110
Vaske JJ, Donnelly MP (2002) Generalizing the encounter-norm-crowding relationship. Leis Sci 24:255–269
Visit Bruges (2019) Een klavertje vier voor het toerisme in Brugge. Strategische visienota toerisme. Stad Brugge, Bruges, pp 2019–2024
Welbers K, Van Atteveldt W, Benoit K (2017) Text analysis in R. Commun Methods Meas 11(4):245–265
Xiang Z, Du Q, Ma Y, Fan W (2017) A comparative analysis of major online review platforms: implications for social media analytics in hospitality and tourism. Tour Manag 58:51–65
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Department of Earth and Environmental Sciences, KU Leuven, Leuven, Belgium
Bart Neuts
- Bart Neuts
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Correspondence toBart Neuts.
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Hokkai-Gakuen University, Sapporo, Japan
Soushi Suzuki
University of Bologna, Bologna, Italy
Roberto Patuelli
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Neuts, B. (2021). Revisiting Bruges: Investigating the Importance of Tourist Crowding Perception in the Visitor Experience Through Computational Text Analysis. In: Suzuki, S., Patuelli, R. (eds) A Broad View of Regional Science. New Frontiers in Regional Science: Asian Perspectives, vol 47. Springer, Singapore. https://doi.org/10.1007/978-981-33-4098-5_13
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