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Record W2214474349 · doi:10.2495/sdp-v10-n4-528-543

Environmental noise and air pollution monitoring in the athens ring road (‘attiki odos’) an important parameter for a sustainable urban development

2015· article· en· W2214474349 on OpenAlexvenueno aff
Konstantinos Vogiatzis

Bibliographic record

VenueInternational Journal of Sustainable Development and Planning · 2015
Typearticle
Languageen
FieldHealth Professions
TopicNoise Effects and Management
Canadian institutionsnot available
Fundersnot available
KeywordsNoise pollutionRing roadSustainable developmentEnvironmental sciencePollutionAir pollutionEnvironmental planningNoise (video)Environmental engineeringTransport engineeringEngineeringComputer scienceNoise reductionPolitical science

Abstract

fetched live from OpenAlex

Attica Tollway (Attiki Odos), a modern motorway extending along 65 km, constitutes the ring road of the greater metropolitan area of Athens and the main road network of the Attica Prefecture with over 4.5 million inhabitants.Attiki Odos from the first year of its operation in early 2001, in close collaboration with the University of Thessaly-Faculty of Civil Engineering (Laboratory of Transportation Environmental Acoustics), ensures a full environmental noise and air pollutants monitoring program based on eight fixed stations resulted in the implementation of an extensive Environmental Action Plan in order to ensure the system's sustainability.This article presents the main technical and operation characteristics of this extensive monitoring as well as the results and conclusions of the last 18-month period.A full assessment of the relevant environmental impact both on the acoustic and atmospheric environment is analyzed in this article along with comparative analysis for all monitoring locations including traffic data.This monitoring program consists one of the main parameters for an urban sustainable development of road transport in Athens Mega Region.

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.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.008
Threshold uncertainty score0.016

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
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 head0.040
GPT teacher head0.342
Teacher spread0.303 · 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

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

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".

Quick stats

Citations4
Published2015
Admission routes1
Has abstractyes

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