Mountain Bike Tourism and Community Development In British Columbia: Critical Success Factors for the Future
Bibliographic record
Abstract
Mountain bike tourism may provide significant benefit to communities, as shown by economic impacts of $38 (CDN) million realized in the Sea-to-Sky Corridor region of British Columbia, Canada in 2006. This achievement was realized due to regional stakeholder collaboration and community mountain bike trail planning dating back to the early 1990s. Despite the value and recent growth in mountain bike tourism, formal research into community mountain bike tourism development is still in its infancy. To explore the critical success factors necessary to build sustainable tourism capacity for the development of mountain bike tourism, a modified Delphi method was utilized to query industry experts in this empirical study. A literature review, followed by online surveys of selected experts, led to the creation of a framework for community-based mountain bike tourism development to support sustainable community mountain bike tourism strategies. This framework may be beneficial to clusters of tourism stakeholders for mapping-out long-term objectives and to achieve planning and operational efficacy. Utilization of the framework may also assist stakeholders to more effectively execute a successful community-based mountain bike tourism development strategy while assisting future researchers to delve further into an analysis of the role of critical success factors.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".