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Record W3049033324

Supporting transit-oriented development along the Southwest Rapid Transit Corridor in Winnipeg: recommendations for station area planning

2011· dissertation· en· W3049033324 on OpenAlexaboutno aff
Vicky Reaney

Bibliographic record

VenueMspace (University of Manitoba) · 2011
Typedissertation
Languageen
FieldSocial Sciences
TopicTransportation Planning and Optimization
Canadian institutionsnot available
Fundersnot available
KeywordsTransit (satellite)Transit-oriented developmentTransport engineeringGeographyEnvironmental planningEngineeringPublic transport
DOInot available

Abstract

fetched live from OpenAlex

This practicum examines the opportunities and challenges for transit-oriented development (TOD) at strategic station areas along the Southwest Rapid Transit Corridor (SWRTC) in Winnipeg. Research included three case studies that investigated policy support, station area planning and implementation tools in the City and County of Denver, City of Boulder and the City of Ottawa. Three recommendations are outlined in the concluding chapter. The first is to develop Smart Growth land use policies that direct growth to station areas along the SWRTC. The second is to develop station area plans that indicate the permitted land uses, urban form and densities at station areas. The third is to create a zoning overlay for TOD to that embraces compact, pedestrian oriented development, mixed land uses and reduced off-street parking requirements. These recommendations are of particularly benefit to the City of Winnipeg and to other municipalities that are investing in rapid transit systems and TOD.

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)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.474
Threshold uncertainty score0.955

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0020.001
Scholarly communication0.0040.001
Open science0.0020.002
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0050.001

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 head0.040
GPT teacher head0.270
Teacher spread0.231 · 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 designNot applicable
Domainnot available
GenreOther

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 routes1
Has abstractyes

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