Notice bibliographique
Résumé
Climate and weather have a major influence over seasonality in nature-based tourism by determining the availability and quality of certain outdoor recreational activities (Butler, 2001). Climate and weather act as central motivators involved in the travel decisions of tourists (Mintel International Group, 1991; Kozak, 2002). Climate as an attraction is also an integral component considered in destination choice among tourists (Lohmann and Kaim, 1999; Hamilton and Lau, 2005; Gössling et al. 2006). Due to the relationship between climate, weather and outdoor recreation, climate change is expected to have a direct impact on park visitation and camper decision-making (Jones and Scott, 2006a; 2006b). This study contributes to the understanding of weather sensitivity for different tourism segments across varying climate zones world-wide which can contribute to more informed park tourism planning and climate change adaptation in Ontario. Using a survey-based approach, this study identified and compared the stated weather preferences and weather related decision-making of campers from two different provincial parks in Ontario. The two provincial parks selected as case studies, based on differing park characteristics and perceived climatic requirements, were Pinery and Grundy Lake. \n \nStatistically significant differences (at the 95 percent confidence level) were observed in stated weather preferences and weather related decision-making, based on differences in respondent characteristics. Most notably, activity participation, length of planned stay and age of the respondent had the most significant and widespread effect on weather preferences and camper decision-making. Temperature preferences between the two parks were strikingly similar. However, differences in weather related decision-making were statistically significant showing campers at Pinery to be more sensitive to weather than those at Grundy Lake. Overall, parks that are more beach-oriented, closer to tourism generating areas and are characterised by visitors with shorter than average lengths of stay, are likely to be the most sensitive to weather variability. As such, it will be most important for parks that rely on similar tourism generating markets and share similar park characteristics as Pinery, to place a greater planning emphasis on climate change adaptation, as these parks are likely to be most affected by the impact of climate change on park visitation in Ontario. \n \nClimatic warming was not perceived by campers as a major threat to park visitation in Ontario. Instead, heavy rain, strong winds and unacceptably cool temperatures were the most influential weather variables in relation to camper decision-making. In response to the perceived threat of heavy rain and strong winds to camping in Ontario, and in association with projected increases pertaining to the frequency and intensity of these weather events under climate change, a number of recommendations have been made, which could be implemented by Ontario Parks in an effort to reduce camper vulnerability to extreme weather and improve overall trip satisfaction.
Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.
Comment cette classification a été obtenuedéplier
Prédiction machine sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.
Scores du classifieur distillé par catégorie (deux têtes)
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,000 | 0,001 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,000 | 0,001 |
| Études des sciences et des technologies | 0,001 | 0,000 |
| Communication savante | 0,001 | 0,000 |
| Science ouverte | 0,000 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,000 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,002 | 0,000 |
Scores machine (provisoires)
Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.
Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.
score_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».