Energy Efficiency Standards of Single-Family Houses: Factors in Homeowners’ Decision-Making in Two Austrian Regions
Bibliographic record
Abstract
The energy efficiency of residential buildings is a central issue in the widely discussed energy transition. This study investigates which factors influence homeowners´ decisions regarding the energy efficiency standard of their houses. Homeowners who built or renovated their houses between 2008 and 2013 participated in a questionnaire survey in two Austrian “energy regions” within the federal states of Styria and Burgenland. In the majority (66%) of cases, homeowners chose the low-energy house standard B (≤ 50kWh/m2a) for their building or renovation projects, followed by the conventional standard C (≤ 100kWh/m2a) (21%). Only 13% realized ultra-low-energy, passive or plus-energy houses with a higher energy efficiency standard (A (≤ 25kWh/m2a), A+ (≤ 15kWh/m2a), or A++ (≤ 10kWh/m2a)). Expert recommendations on energy standards showed the highest correlation with the selected standards, and on average, new building projects realized better energy efficiency standards than did renovations. Further variables that were significantly related to the realized standards included homeowners’ attitudes and knowledge about building energy efficiency standards and the age of the respondents. Although the homeowners who were surveyed were initially satisfied with the selected energy efficiency standard, many now indicate a preference to implement significantly higher energy efficiency standards than those achieved in their project. Further, they would recommend even significantly higher energy efficiency standards to friends than the standards preferred for their own house. These findings suggest that current preferences and communication in social networks promote higher future energy efficiency standards.
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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 | 0.003 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| 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 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".