Technologies and strategies to design sustainable tourist accommodations in areas of high environmental value not connected to the electricity grid
Bibliographic record
Abstract
As envisaged in the Agenda for a sustainable and competitive European tourism, the adoption of an holistic and integrated approach and the use of the best available knowledge and technologies are key aspects to ensure a sustainable tourism. In particular, policies and actions should be planned considering the latest and best available knowledge, analyzing at the same time all the related impacts on the area of intervention. In this context, the purpose of this paper is to describe an approach for designing sustainable tourist accommodations that allow the fruition of areas characterized by high environmental values minimizing the related impacts on the surrounding environment and sensitizing users towards preservation and conservation of natural resources. In the proposed approach three aspects of tourist accommodation have been considered: the system component, the building envelope and the integration between them. As a result, the architectural structures designed, including their materials, shape, energy efficiency, modularity and removability, are in line with the standards of bio-architecture. The materials used, complying with the technical requirements and the technological needs of the tourist accommodations, are mostly recycled or reusable, coming from the surrounding area or of easy integration in the landscape. The components , that constitute the accommodations, are easy to assemble and disassemble for reuse them in another area, without changing the environmental conditions in the site. Some elements are precast and completed on site with local materials, moreover the modularity allows a high adaptability to different environmental and morphological conditions. To apply these architectural structures even in places without services and distribution networks of energy and water, special attention has been given to innovative and sustainable energy solutions: Liquefied petroleum gas (LPG) has been used as the only energy vector, combined with a cogeneration plant to provide heat and electric energy as well as with particular building envelopes that allow the transfer of LPG into the walls for provide energy to innovative gas appliances. Lastly, in order to assess the environmental impact of the proposed approach, it has been analyzed the environmental insertion of these structures for tourist accommodation in the Circeo National Park, in Italy.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.006 | 0.002 |
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".