Accessibility planning for cyclists
Bibliographic record
Abstract
The UK Government's Accessibility Planning initiative aims to improve access to healthcare, jobs, shops,\nservices and community facilities by non-car methods of travel, particularly for disadvantaged groups and\nareas. Every local authority in the UK is now required to report against a number of indicators in their\nLocal Transport Plan and Local Development Framework, commonly the distance or time needed to\naccess a particular location by walking, cycling and public transport. Accessibility for pedestrians and\ncyclists is typically measured using a crow-fly distance or the shortest distance on the road network, but\nthese methods do not account for either cycle and pedestrian routes away from the road network, which\nimprove accessibility, or physical and psychological barriers to movement, which reduce accessibility. This paper details a study of cyclists in Southampton, UK, which used Geographical Information Systems\nto compare the commonly used crow-fly and road network estimates with actual travel distances for\ncyclists, to assess whether improved distance measures could be derived to give better measures of\naccessibility. Using a case study of a large shopping centre, the use of crow-fly distance measures was\nfound to significantly overestimate accessibility, suggesting that local authorities using crow-fly distance\nmeasures should be extremely cautious when presenting and analysing results. Using measures based\non the road network alone was shown to slightly underestimate accessibility, with the error increasing as\nthe number of cycle routes and other routes available to cyclists increases. By creating a weighted average of the crow-fly and road network distance measurements, a better\nestimate of true shortest cycling distances was achieved. By effectively creating a road network based\naccessibility polygon and then expanding it slightly to account for the likely presence of cycle routes\nwithout having to know their exact locations, this paper describes a methodology for local authorities to\nimprove the accuracy of accessibility assessments until networks including detailed cycle routes and\nother routes available to cyclists become available.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.026 | 0.003 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".