Exploring the relationship between tourism acceptance and perceived quality of life in big German cities: the moderating role of tourism intensity
Bibliographic record
Abstract
Leisure travelling is known to be a contributor to visitors’ well-being and quality of life yet only little is known about the influence of tourism on the destination residents’ quality of life. Given rising imbalances and perceived conflicts of use between visitors and residents particularly in an urban context, research interest in residents’ perspectives have increased and new measures such as the tourism acceptance score have been developed to measure perceived tourism impacts over time. While tourism intensity has been proposed to be an indicator for low tourism acceptance and decreasing quality of life, little empirical evidence is existing. This study examines the relationship between tourism acceptance and perceived quality of life and the moderating role of tourism intensity. The data base used consisted of representative samples in 11 German cities. Results demonstrate a positive relationship between personal tourism acceptance and the residents’ quality of live. This relationship is moderated by the tourism intensity and is generally stronger in cities with higher tourism intensity.
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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 | 0.000 | 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) | 0.000 | 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".