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Record W159007976

HOW TO REDUCE THE NUMBER OF SHORT TRIPS BY CAR

2000· article· en· W159007976 on OpenAlexaboutno aff
RL Mackett

Bibliographic record

VenueUCL Discovery (University College London) · 2000
Typearticle
Languageen
FieldSocial Sciences
TopicUrban Transport and Accessibility
Canadian institutionsnot available
Fundersnot available
KeywordsTRIPS architectureTransport engineeringPublic transportWork (physics)Quarter (Canadian coin)Journey to workGovernment (linguistics)KilometerTravel behaviorGeneral partnershipMode choiceEngineeringGeographyBusinessFinance
DOInot available

Abstract

fetched live from OpenAlex

The amount of travel by car is increasing, leading to a range of problems. According to the National Travel Survey (NTS) (Department of the Environment, Transport and the Regions, 1999) a quarter of all car trips are less than two miles long and more than half are less than five miles. This paper presents some of the findings from a project entitled 'Potential for mode transfer of short trips'. Some preliminary results have been presented previously (Mackett, 1999) (ITRD E104616). The project has been carried out in the Centre for Transport Studies at University College London (UCL) in partnership with Steer Davies Gleave (SDG) for DETR. The overall objective of the work was to contribute to Government policy to encourage the use of the environmentally-benign travel modes in order to reduce the amount of travel by private car. The focus was on the encouragement of the use of walking, cycling and public transport (buses in particular). The focus of this work is 'short trips'. In this work these are usually taken to be those of less than 5 miles (8 kilometres). (A) For the covering abstract see ITRD E107063.

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 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 categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.515
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.000
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.012
GPT teacher head0.239
Teacher spread0.227 · 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 teacher head, not a consensus.

Study designNot applicable
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

Citations11
Published2000
Admission routes1
Has abstractyes

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