Subtopic Deep Dive
Tourist Motivations for Event Sport Tourism
Research Guide
What is Tourist Motivations for Event Sport Tourism?
Tourist motivations for event sport tourism examine psychological drivers like escapism, prestige, fandom, and place attachment that attract visitors to sports events using push-pull frameworks and empirical surveys.
Research segments motivations through surveys at major championships and applies the psychological continuum model (Filo et al., 2011, 86 citations). Studies integrate event satisfaction, place attachment, and spectator intentions (Brown et al., 2016, 265 citations). Over 20 papers since 2011 analyze cross-cultural and heterogeneity aspects (Seabra et al., 2012, 275 citations; Soldatenko and Backer, 2019, 88 citations).
Why It Matters
Event organizers use motivation insights to tailor programming, boosting attendance and destination loyalty; Brown et al. (2016) show place attachment predicts repeat visits at Olympics. Destination marketers segment psychographics for targeted campaigns, as in Filo et al. (2011) linking sport tourism to psychological continuum model. Policymakers optimize economic impacts by matching visitor profiles to events, evidenced by Seabra et al. (2012) on risk perceptions influencing international tourist flows.
Key Research Challenges
Cross-Cultural Motivation Differences
Motivations vary by nationality, complicating universal models. Soldatenko and Backer (2019) content analysis of 88 studies reveals inconsistent nationality comparisons. Standardization of push-pull frameworks remains unresolved across cultures.
Heterogeneity in Tourist Profiles
Diverse subgroups like risk-averse or adventure-seekers require segmentation. Seabra et al. (2012) identify heterogeneous risk perceptions among international tourists. Tailoring surveys to capture event-specific profiles challenges generalizability.
Measuring Place Attachment
Linking event motivations to long-term destination bonds is empirically difficult. Filo et al. (2011) apply psychological continuum model but note measurement gaps in sport tourists. Brown et al. (2016) highlight satisfaction's indirect role at mega-events.
Essential Papers
The effect of celebrity on brand awareness, perceived quality, brand image, brand loyalty, and destination attachment to a literary festival
Seongseop Kim, Ja Young Choe, James F. Petrick · 2018 · Journal of Destination Marketing & Management · 303 citations
Heterogeneity in risk and safety perceptions of international tourists
Cláudia Seabra, Sara Dolničar, José Luís Abrantes et al. · 2012 · Tourism Management · 275 citations
Revisiting the host city: An empirical examination of sport involvement, place attachment, event satisfaction and spectator intentions at the London Olympics
Graham Brown, Andrew Smith, Guy Assaker · 2016 · Tourism Management · 265 citations
Competing for the disability tourism market – A comparative exploration of the factors of accessible tourism competitiveness in Spain and Australia
Trinidad Domínguez Vila, Simon Darcy, María Elisa Alén González · 2014 · Tourism Management · 202 citations
Soft adventure motivation: an exploratory study of hiking tourism
Bernhard Fabian Bichler, Mike Peters · 2020 · Tourism Review · 106 citations
Purpose Adventure activities have become the core products of many tourism destinations. Hiking, which is known to be a soft adventure activity, represents an especially important product for many ...
Cycle Tourism as a Driver for the Sustainable Development of Little-Known or Remote Territories: The Experience of the Apennine Regions of Northern Italy
Patrizia Gazzola, Enrica Pavione, Daniele Grechi et al. · 2018 · Sustainability · 99 citations
One form of cycle tourism can be represented features tourism that focuses on the relation between biking and the discovery of a territory. Geared toward forms of holiday that allow for the low con...
Liminality and festivals—Insights from the East
WU Shao-feng, Yanning Li, Emma Wood et al. · 2019 · Annals of Tourism Research · 95 citations
Reading Guide
Foundational Papers
Start with Filo et al. (2011, 86 citations) for psychological continuum model in sport tourism; Seabra et al. (2012, 275 citations) for tourist heterogeneity basics.
Recent Advances
Brown et al. (2016, 265 citations) on event satisfaction and intentions at Olympics; Soldatenko and Backer (2019, 88 citations) for cross-cultural motivation synthesis.
Core Methods
Push-pull frameworks segment intrinsic/extrinsic drivers; survey-based psychometrics measure place attachment (Filo et al., 2011); heterogeneity clustering via risk perceptions (Seabra et al., 2012).
How PapersFlow Helps You Research Tourist Motivations for Event Sport Tourism
Discover & Search
Research Agent uses searchPapers('tourist motivations event sport tourism push-pull') to retrieve Filo et al. (2011), then citationGraph reveals 86 citing works including Brown et al. (2016). exaSearch uncovers cross-cultural gaps from Soldatenko and Backer (2019). findSimilarPapers expands to Seabra et al. (2012) on heterogeneity.
Analyze & Verify
Analysis Agent runs readPaperContent on Filo et al. (2011) to extract psychological continuum model details, then verifyResponse with CoVe checks claims against Seabra et al. (2012). runPythonAnalysis loads survey data for statistical verification of motivation clusters via pandas clustering. GRADE grading scores evidence strength on place attachment claims from Brown et al. (2016).
Synthesize & Write
Synthesis Agent detects gaps in cross-cultural motivations post-Soldatenko and Backer (2019), flags contradictions in risk models from Seabra et al. (2012). Writing Agent applies latexEditText to draft segments, latexSyncCitations integrates Filo et al. (2011), and latexCompile generates polished reports. exportMermaid visualizes push-pull framework flows.
Use Cases
"Analyze survey data from Filo et al. 2011 on sport tourist involvement."
Research Agent → searchPapers → readPaperContent → Analysis Agent → runPythonAnalysis (pandas cluster motivations) → matplotlib plots of psychographic segments.
"Draft LaTeX review of motivations at London Olympics from Brown et al. 2016."
Synthesis Agent → gap detection → Writing Agent → latexEditText (structure review) → latexSyncCitations (add Brown) → latexCompile → PDF output.
"Find code for push-pull motivation models in event tourism papers."
Research Agent → citationGraph (Filo 2011 citers) → Code Discovery → paperExtractUrls → paperFindGithubRepo → githubRepoInspect → R scripts for survey analysis.
Automated Workflows
Deep Research workflow conducts systematic review: searchPapers (50+ motivation papers) → citationGraph → DeepScan (7-step analysis with GRADE on Filo et al. 2011). Theorizer generates theory from Seabra et al. (2012) heterogeneity and Brown et al. (2016) attachment, outputting mermaid diagrams. DeepScan verifies cross-cultural claims via CoVe chain on Soldatenko and Backer (2019).
Frequently Asked Questions
What defines tourist motivations for event sport tourism?
Psychological drivers like escapism, prestige, fandom, segmented via push-pull frameworks and surveys at championships (Filo et al., 2011).
What methods dominate this research?
Empirical surveys of attendees, psychological continuum modeling (Filo et al., 2011), and content analysis of cross-cultural studies (Soldatenko and Backer, 2019).
What are key papers?
Filo et al. (2011, 86 citations) on destination involvement; Brown et al. (2016, 265 citations) on Olympics attachment; Seabra et al. (2012, 275 citations) on risk heterogeneity.
What open problems exist?
Standardizing cross-cultural push-pull models (Soldatenko and Backer, 2019) and longitudinal place attachment measurement beyond single events (Brown et al., 2016).
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Part of the Sport and Mega-Event Impacts Research Guide