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Record W2016381480 · doi:10.1115/jrc2011-56060

Shared Use of Railway Corridors by Public Transit Vehicles

2011· article· en· W2016381480 on OpenAlexaffabout
Alexandre J. M. Eyquem, Joseph Lee Hutchins, Christopher Taylor, John Falcetta

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicTransport and Economic Policies
Canadian institutionsAecom (Canada)
Fundersnot available
KeywordsContext (archaeology)Public transportTransport engineeringBusinessPoint (geometry)Function (biology)Traffic managementAsset (computer security)Flow networkInvestment (military)Transit (satellite)Computer scienceEngineeringComputer securityGeography

Abstract

fetched live from OpenAlex

As transportation corridors become an ever more important asset, existing rail freight corridors are under increasing pressure to be shared for transit purposes. In defining the expanded corridor use a comprehensive look at factors was undertaken on behalf of Transport Canada by AECOM. Understanding the issues is imperative in navigating this complex subject. In locations where the transit network and expected ridership-generation points are compatible with existing railway networks, the best use of a network of corridors for freight and transit should be one of the first steps in municipal and regional planning. Finding a best use of existing network typically does not happen for two reasons. First, the public entities typically do not observe the complete “freight network” and have a limited stake in its function and complexity. Unlike public roads or transit, public entities tend to look at single opportunities such as little used freight segments, or specific corridors that they can afford to pursue with a specific public purpose. As a result, freight railways often find themselves responding to a specific request for a segment in the context of their network and whether it serve a functional need. Second, the private freight railways similarly do not have opportunity or patience to investigate the public contribution to their networks. The point of view of what might be done if the potential transit services were understood and what it could mean to freight business with capital investment in an improved and/or rationalized freight delivery system may be hard to define, and the benefits may only occur in the distant future. They have a priority to pursue their immediate business model and therefore tend to wait until the public entity comes forward and asks about a specific corridor or opportunity. The issue of assets inventory, rationalization paired with transit planning, is the first step in evaluating efficient transportation systems through urban centres. Furthermore, the ability of some transit vehicles to be used on both on dedicated railway transit corridors, where it makes sense, as well as for street services, provide for greater flexibility in transit networks. What is missing is a review of freight networks from a regional perspective relative to all potential transit routes. The first question to be asked when looking at the freight network of an urban area is: where is it going, why is it going there, and could it be handled more effectively, and if so what are the overall benefits to all parties.

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)0.001
metaresearch head score (Gemma)0.004
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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.025
Threshold uncertainty score0.049

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0010.002
Science and technology studies0.0010.001
Scholarly communication0.0020.003
Open science0.0010.004
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0140.001

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 head0.072
GPT teacher head0.187
Teacher spread0.116 · 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

Citations0
Published2011
Admission routes2
Has abstractyes

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