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Record W2682106655

Sharing space on Granville Island: An assessment of shared street performance

2016· article· en· W2682106655 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueSummit (Simon Fraser University) · 2016
Typearticle
Languageen
FieldEngineering
TopicUrban Design and Spatial Analysis
Canadian institutionsnot available
Fundersnot available
KeywordsSpace (punctuation)Computer scienceGeography
DOInot available

Abstract

fetched live from OpenAlex

Shared space, or shared streets, is an urban design approach encouraging pedestrians and drivers to share a common surface by minimizing segregation features. Advocates contend that the concept generates extensive social, cultural and economic benefits. Scholarship investigating schemes and purported benefits have been limited primarily to European and New Zealand applications. Identifying the need to study shared space operations in the Canadian context, this research offers a quantitative evaluation of road user behaviour and shared street performance on Granville Island in Vancouver, Canada. Utilizing video survey, data was collected at three diverse sample sites between December 2015 and February 2016. Data was analyzed using univariate and bivariate statistical analysis and overall shared space performance was quantified using the Karndacharuk (2014) Analytical Hierarchy Process (AHP) index. The behavioural analysis revealed that the majority of pedestrian movements transpired outside the vehicle path and road space. Contiguous land uses were an important predictor of road user behaviour, as higher frequencies of pedestrians crossing the vehicle path were positively correlated with higher densities of commercial uses. Regression analysis calculated that vehicle path crossings were also a statistically significant predictor of vehicle speeds and interaction occurrences with vehicles. During interaction occurrences with vehicles, pedestrians were deemed to have priority. Regarding shared space performance, Granville Island managed both pedestrian and driver mobility effectively. Calculated performance in the Place function was substandard, as shared space design failed to inspire pedestrian reclamation of the street space. A key finding, the AHP index was recalibrated, enabling a custom, quantitative evaluation of pedestrian reclamation of road space on Granville Island. Results corroborated the importance of local traffic conditions noted in shared space literature. Future research should be undertaken to study the qualitative aspects of shared space on Granville Island, as well as an appraisal of street performance and road user behaviour under disparate conditions.

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.

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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.683
Threshold uncertainty score0.998

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 head0.012
GPT teacher head0.205
Teacher spread0.193 · 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