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Record W1995609755 · doi:10.2495/sdp-v4-n4-309-321

Motorized road transport: economic and environmental costs – a policy assessment framework

2009· article· en· W1995609755 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.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
venuePublished in a venue whose home country is Canada.

Bibliographic record

VenueInternational Journal of Sustainable Development and Planning · 2009
Typearticle
Languageen
FieldEngineering
TopicSmart Parking Systems Research
Canadian institutionsTransport Canada
Fundersnot available
KeywordsRoad transportEnvironmental impact assessmentEnvironmental planningTransport engineeringBusinessEnvironmental policyEnvironmental resource managementEnvironmental economicsEnvironmental scienceEngineeringEconomics

Abstract

fetched live from OpenAlex

Transport plays an essential role in economic and social development and in the creation of wealth for the societies. at the same time, transport contributes considerably to many environmental problems, e.g. air pollution and noise. according to european commission's statistics, in the year 2000, the transport sector contributed 29% of all cO 2 emissions in the eU, of which road transport was responsible for 83%. another serious problem, with environmental and economic impacts, is congestion. Building new transport infrastructure is unlikely to give a reliable solution to any problem and thus the need for new approaches in transport policy has been recognized. In this paper, a policy assessment framework is presented, in order to assist the responsible bodies and policy makers to draw up a strategy for sustainable transport and mobility and to propose some simple measures for tackling the adverse effects of road transport.

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)0.000
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 score0.454

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
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 head0.008
GPT teacher head0.272
Teacher spread0.264 · 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