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Record W577638250

City of Vancouver Parking By-Law: A Recital of Sustainable Parking Policies

2009· article· en· W577638250 on OpenAlexaboutno aff
Waqar Hussain Memon

Bibliographic record

Venue2009 ANNUAL CONFERENCE AND EXHIBITION OF THE TRANSPORTATION ASSOCIATION OF CANADA - TRANSPORTATION IN A CLIMATE OF CHANGE · 2009
Typearticle
Languageen
FieldEngineering
TopicSmart Parking Systems Research
Canadian institutionsnot available
Fundersnot available
KeywordsSustainabilityTransport engineeringSustainable transportBusinessSustainable cityUrban planningEngineeringCivil engineering
DOInot available

Abstract

fetched live from OpenAlex

Parking policies are an important component of contemporary travel demand management policies. North American parking policies have traditionally been developed as a means of simply accommodating traffic demand, with little or no effort made to identify how such strategies might relate to other urban transportation objectives. However, the City of Vancouver is creating parking policies that support environmental sustainability and transportation goals, particularly mode split targets. The City of Vancouver Parking By-Law is a significant factor in supporting the overall Transportation targets. This has helped Vancouver to achieve its goal of zero growth in automobile traffic entering the city. In fact, Vancouver is one of the few cities in North America where the amount of automobile traffic has actually decreased in the last decade. This paper reviews how the City of Vancouver Parking By-Law has continuously been updated over the last two decades to encourage sustainable modes of transportation and set parking standards that supports targets of reduced auto use. The paper explores the evolution of City of Vancouver policy and Parking By-Law including design changes, incremental updates, emerging transportation modes and economic influences. This paper presents some case studies where various sustainable modes of transportation were encouraged by requiring provision of car-sharing vehicles more bicycle parking and by applying maximum parking ceilings while reducing minimum parking requirements. This paper also identifies current initiatives of City staff for future parking policy changes. 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)0.001
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 score0.384
Threshold uncertainty score0.936

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 communication0.0000.000
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 head0.017
GPT teacher head0.234
Teacher spread0.216 · 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

Citations1
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 topicSmart Parking Systems ResearchFrench-language works237,207