Public transport policy implementation in South Africa: <i>Quo vadis</i>?
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.
Bibliographic record
Abstract
For many years the South African government has put forward policies and strategies to improve and promote public transport. Despite this, very little has changed over the last 30 years, although projects such as the Gautrain high-speed rail service and a few bus rapid transit routes have been introduced recently. These projects, however, are not integrated in a logical manner into the broader public transport system and are often referred to as stand alone interventions because of a lack of managing public transport in terms of integrated transport plans. The traditional commuter rail, bus and 16-seat taxi industries therefore operate in policy silos and, in the case of the bus and rail industries, are planned and funded independently of each other, leading to a further lack of integration. Policy interventions have been implemented partially or not at all, leaving the public transport sector in a state of flux. The methodology followed in researching this paper was to briefly trace the historical public transport policy developments, with a focus on the commuter bus industry, in order to identify possible impediments to policy implementation and to identify policy interventions for addressing the currently stalled policy implementation programme. The main finding of the paper is that it would be advisable to establish provincial transport authorities between local and provincial governments. That should speed up the development and implementation of integrated transport plans, which ought to lead to integrated public transport systems and a more optimal spend of the available governmental funds aimed at subsidising public transport.
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 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 | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 it