Transport for Suburbia: Beyond the Automobile Age
Bibliographic record
Abstract
"The need for effective public transport is greater than ever in the 21st century. With countries like China and India moving towards mass-automobility, we face the prospects of an environmental and urban health disaster unless alternatives are found. It is time to move beyond the automobile age. But while public transport has worked well in the dense cores of some big cities, the problem is that most residents of developed countries now live in dispersed suburbs and smaller cities and towns. These places usually have little or no public transport, and most transport commentators have given up on the task of changing this: it all seems too hard. This book argues that the secret of 'European-style' public transport lies in a generalizable model of network planning that has worked in places as diverse as rural Switzerland, the Brazilian city of Curitiba and the Canadian cities of Toronto and Vancouver. It shows how this model can be adapted to suburban, exurban and even rural areas to provide a genuine alternative to the car, and outlines the governance, funding and service planning policies that underpin the success of the world's best public transport systems."--Back cover.
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 imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.004 | 0.002 |
| Scholarly communication | 0.000 | 0.002 |
| Open science | 0.002 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
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.
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 teacher head, 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".