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Record W2093803243 · doi:10.1068/a3412

The Impact of Road Pricing and Workplace Parking Levies on the Urban Economy: Results from a Survey of Business Attitudes

2001· article· en· W2093803243 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.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueEnvironment and Planning A Economy and Space · 2001
Typearticle
Languageen
FieldEngineering
TopicSmart Parking Systems Research
Canadian institutionsTransport Canada
FundersEngineering and Physical Sciences Research Council
KeywordsBusinessTraffic congestionSample (material)Public transportUrban economicsPrivate sectorMarketingTransport engineeringEconomicsEconomic growthEngineering

Abstract

fetched live from OpenAlex

This paper reports the results of a survey of business attitudes to current transport problems and their likely responses to the introduction of road user charging (RUC) and workplace parking levies (WPLs). A sample of 152 responses from private sector businesses in three UK historic cities is analysed. Businesses perceive traffic congestion and inadequate public transport provision as key problems. Businesses typically expect the introduction of RUC and WPLs to lead to some non-economic benefits to the city but negative impacts on the urban economy and their own business performance. It is also found that there is a significant threat of businesses relocating away from the urban economy as a response to traffic demand management policies.

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)0.001
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 score0.010
Threshold uncertainty score0.371

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 head0.032
GPT teacher head0.243
Teacher spread0.211 · 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