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Record W646633012

Cycle Track Concepts for Burlington, Ontario: Design Lessons from Apeldoorn, Netherlands

2009· article· en· W646633012 on OpenAlexaboutno aff
Nial Moores

Bibliographic record

Venue2009 ANNUAL CONFERENCE AND EXHIBITION OF THE TRANSPORTATION ASSOCIATION OF CANADA - TRANSPORTATION IN A CLIMATE OF CHANGE · 2009
Typearticle
Languageen
FieldEngineering
TopicUnderground infrastructure and sustainability
Canadian institutionsnot available
Fundersnot available
KeywordsTransport engineeringCyclingPlan (archaeology)Work (physics)EngineeringTrack (disk drive)Quality (philosophy)Transit (satellite)LegislatureGeographyPublic transportForestry
DOInot available

Abstract

fetched live from OpenAlex

Burlington (ON) has just completed an update to their Cycling Master Plan but with a Dutch twist-their twin city Apeldoorn, the Netherlands, sent one of their bikeway traffic engineers, Mr. Wim Mulder, to assist in defining improvements to get more people cycling. A concept for a for the cycling network was developed. This concept focuses on improving cycling quality of two existing linear trails that traverse the City, creating a new crossing of the QEW freeway, introducing cycle tracks on a future rapid transit corridor along the northern boundary of the City, and filling in the framework with bike lanes and bicycle priority streets. Mr. Mulder's experience and impressions of Burlington are outlined. The design concept of European cycle tracks is introduced. These are intended to address increasing the comfort of cyclists along busy, higher speed roads. The design quality, maintenance standard and legislative environment that are required to make them work in Burlington ON are discussed. The presentation will compare and contrast photos of existing conditions in Burlington with Apeldoorn, and provide North American examples of similar design elements. For the covering asbtract of this conference see iTRD number E217481.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.758
Threshold uncertainty score0.905

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 head0.019
GPT teacher head0.243
Teacher spread0.224 · 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.

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
Published2009
Admission routes1
Has abstractyes

Explore more

Same venue2009 ANNUAL CONFERENCE AND EXHIBITION OF THE TRANSPORTATION ASSOCIATION OF CANADA - TRANSPORTATION IN A CLIMATE OF CHANGESame topicUnderground infrastructure and sustainabilityFrench-language works237,207