Barriers to Sustainable Waste Management in Mountain Tourism
Bibliographic record
Abstract
Goal 15 of the Sustainable Development Goals calls for efforts to protect fragile mountain ecosystems. Waste generated due to mountain tourism leads to environmental degradation, biodiversity loss, and poses a significant challenge to achieving this goal. Mountains which are characterized by uninhabitable terrain and remoteness, coupled with current tourism practices compound this challenge. The paper resolves this challenge by understanding barriers to sustainably manage waste using th Classical DEMATEL method. Based on data from 36 experts in India’s mountain tourism industry, barriers to sustainable management of non-biodegradable waste are analyzed. Results suggest that enforcement of regulations , waste collection infrastructure , and lack of transportation for waste transfer are the most prominent barriers that can be mitigated by collectively leveraging four tangible barriers: tourists’ motivation or achievement mentality , local government’s initiative , economic value of waste , and tourists’ lack of environmental awareness . Based on this, a policy intervention mandating certification standards for tourists is suggested before they embark on mountain tourism.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.002 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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 source (direct Gemma or distilled Codex), 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".