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Record W587777767

Metrolink: successful urban rail

2007· article· en· W587777767 on OpenAlexaboutno aff
C J Wansbeek

Bibliographic record

VenueTramways & urban transit · 2007
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicTransport and Economic Policies
Canadian institutionsnot available
Fundersnot available
KeywordsTransport engineeringDeckMiamiRail networkSubsidyEngineeringLight railLine (geometry)Orange (colour)Light rail transitTelecommunicationsPublic transportPolitical scienceEnvironmental science
DOInot available

Abstract

fetched live from OpenAlex

Between 1990 and 2003, four new urban rail lines, totalling 723 miles, were inaugurated by MTA in Los Angeles (LA), California, USA. A fifth light rail line is under construction. Part of the existing freight railway network in the greater LA area was upgraded to commuter rail standards, becoming the Metrolink network. Metrolink was inspired by Go Transit in Toronto, CalTrain in San Francisco, TriRail in Miami and the 1996 Trinity Railway Express connecting Dallas with Fort Worth. Metrolink started in 1992 with a network of three lines radiating from Union Station. These are the Ventura County Line, the San Bernardino Line and the Santa Clarita Line. Most have been extended since 1992. Earthquakes in 1994 resulted in a growth in passengers and increased political support for commuter rail and increased subsidies, allowing new stations to be added and the Orange County Line to be upgraded to Metrolink standards. In 1995, Riverside Line was added and in 1996, the inland Empire-Orange County Line was added. In 2009, the Perris Valley Line will be added to the network. The present fleet comprises 38 locomotives and 143 double-deck carriages built by Bombardier. An order for 87 double-deck, push-pull coaches has been approved.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.598
Threshold uncertainty score1.000

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 communication0.0000.001
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.001

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 head0.014
GPT teacher head0.202
Teacher spread0.188 · 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; both teacher heads agree on what is shown here.

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

Citations0
Published2007
Admission routes1
Has abstractyes

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