Urban Community Willingness to Pay for Improved Solid Waste Management in Malaysian Municipality: A Choice Modeling Approach
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
The management of solid waste in urban areas is a critical issue for some developing countries especially in Asia which requires immediate attention. This study attempts to make an analysis and assessment of public attitudes and behaviour towards the improvement of urban solid waste management offered by a municipality in Malaysia by looking at the people’s willingness to pay (WTP) for the improved services. Seremban Municipality, one of the most important municipalities in Malaysia, has been chosen for this study because of its rapid development and phenomenal economics growth. The study covers seven residential areas under the administration of the municipality. A survey questionnaire and observation techniques have been carried out to the 140 households. Contingent Valuation Method (CVM) is used for the quantitative data analysis. The study results indicated that the households are willing to pay for the improved services and a regression model was created to show the factors contributing to the willingness to pay.
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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 | 0.004 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.002 | 0.002 |
| 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 it