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Record W2072553263 · doi:10.2495/sdp-v5-n2-150-162

Regional airports' environmental management: key messages from the evaluation of ten European airports

2010· article· en· W2072553263 on OpenAlex

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.

venuePublished in a venue whose home country is Canada.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueInternational Journal of Sustainable Development and Planning · 2010
Typearticle
Languageen
FieldEnvironmental Science
TopicAdvanced Aircraft Design and Technologies
Canadian institutionsnot available
Fundersnot available
KeywordsBusinessAviationCivil aviationScale (ratio)Process (computing)Environmental planningEnvironmental resource managementEconomicsEngineeringGeography

Abstract

fetched live from OpenAlex

In a modern society, connectivity is the basis for economic competitiveness, social reform, regional development and cultural exchange. City airports serving mature markets have already expanded to meet existing and future demand and the challenge for the airport industry is now focused on the development of the secondary and regional airports to accommodate further air transport demand. Consequently, regional airports attract the interest of investors by providing new business opportunities. Although airports bring significant benefits to local and national economy, their contribution to environment disturbance in local and global scale is significant. As a result of the growing environmental sensitivity, airport environmental management is a crucial element of the aviation industry development. This is for reasons related to the control of community and nongovernmental organisations (NGOs) complaints on one hand, and to meet the regional and national targets set by the civil aviation and local authorities on the other hand. Especially for regional airports, the need to identify the environmental issues is essential, because their business development is directly linked to disturbance in the environment and to the local/national communities' level of tolerance. Although environmental management process is crucial to regional airport development, there is little research related to measuring the efficiency and the performance of their environmental management systems. Nevertheless, not many regional airports, especially those serving fewer than 5 million passengers, annually, have set specific targets for their environmental performance. This paper presents the results of the evaluation of 10 European regional airports' environmental plans. Conventional wisdom is to provide some key messages, in order to improve the planning and decision process in airport environment management, as well as highlight some recommendations for further research in the future. The key research finding is that the national legislation framework and resident's ethics along with the airport business factions (such as the management scheme, the location topology and the airport size) are essential elements strongly related to regional airport's environmental efficiency.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

Full frame distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.345
Threshold uncertainty score0.312

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.016
GPT teacher head0.244
Teacher spread0.228 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it