Estimating Destination Carrying Capacity: The Big Data approach

Tokarchuk, Oksana; Barr, Jacob Charles; Cozzio, Claudia

Publication:
Estimating Destination Carrying Capacity: The Big Data approach

dc.contributor.author	Tokarchuk, Oksana
dc.contributor.author	Barr, Jacob Charles
dc.contributor.author	Cozzio, Claudia
dc.contributor.department	Free University of Bozen
dc.contributor.department	Free University of Bolzano
dc.contributor.department	Free University of Bolzano
dc.date	2023-10-23T00:30:13.000
dc.date.accessioned	2024-04-26T21:33:20Z
dc.date.available	2024-04-26T21:33:20Z
dc.description	<p>Oksana Tokarchuk is Assistant Professor of Management and Marketing at the Competence Centre in Tourism Management and Tourism Economics (TOMTE) of the School of Economics and Management of the Free University of Bolzano, she holds a PhD in Economics and Management. Her main research interests include behavioural economics, consumer behaviour, quality of life and applied statistics/econometrics.</p>
dc.description.abstract	Before the emergence of the COVID-19 crisis, forecasts of the continued tourism growth made overcrowding and related negative consequences for destination image and sustainability, the primary concerns for many destinations (Peeters et al., 2018). Although the emergency caused by the COVID-19 drastically reduced visitation of many renowned destinations, the hopes of "back to normal" are also associated with fears of large crowds invading touristic spots once the travel will be allowed. Accordingly, a deepening understanding of managing tourist flows and crowds appears essential for policymakers (Butler & Dodds, 2019). The present study aims at assessing social carrying capacity from the demand side (tourists). This research, combining sentiment scoring derived from TripAdvisor online reviews with official statistics about touristic flows, derived and compared two destination carrying capacity thresholds based on positive and negative emotions indices. The managerial and theoretical implications of these findings are discussed.
dc.identifier.uri	https://hdl.handle.net/20.500.14394/49312
dc.relation.url	https://scholarworks.umass.edu/cgi/viewcontent.cgi?article=2666&context=ttra&unstamped=1
dc.source.status	published
dc.title	Estimating Destination Carrying Capacity: The Big Data approach
dc.type	event
dc.type	event
digcom.contributor.author	isAuthorOfPublication\|email:oksana.tokarchuk@unibz.it\|institution:Free University of Bozen\|Tokarchuk, Oksana
digcom.contributor.author	isAuthorOfPublication\|email:JacobCharles.Barr@unibz.it\|institution:Free University of Bolzano\|Barr, Jacob Charles
digcom.contributor.author	isAuthorOfPublication\|email:Claudia.Cozzio@unibz.it\|institution:Free University of Bolzano\|Cozzio, Claudia
digcom.identifier	ttra/2021/research_papers/51
digcom.identifier.contextkey	21892460
digcom.identifier.submissionpath	ttra/2021/research_papers/51
dspace.entity.type	Publication