Evolution of Transport Policies in Latin-America, Stages and Steps Forward
Bibliographic record
Abstract
This paper presents the evolution of Latin-American transport policies in cities framed in terms of a conceptual model of three Stages recently developed to analyse policy initiatives in Western Europe cities, but probably suitable for developing countries. Stage one is identified as the accommodation of the steady growth of cars through urban road construction. Stage Two is connected to the improvement of public transport services and the shift to more efficient transport systems. Then Stage Three is based on concepts of liveable cities focused on well-being and social inclusion. Latin-American examples and specific cases of policy instruments’ implementation are used to test the validity of this three-stage model in a South American context. Comparative data for different cities are presented, shows results and consequences in terms of congestion reduction, transport systems improvements and some early sustainable transport initiatives. The work depicts the evolving policies of some Latin-American cities, first implementing major road improvements, next the implementation of car controls, and then, the switch to improved public transport systems. Finally the implications for cities in developing countries for the upcoming challenges in transport policies are considered. The paper discusses whether there is or not a transition process in Latin-American urban transport policies, and their success and efficiency on a worldwide comparative basis. As will be shown in this paper, transport policies in Latin-American cities can be characterised in one of these identified Stages of the evolution. Some of them are in Stage Two, while others are still under the influence of car-oriented planning in Stage One. Nevertheless, every policy instrument has impacts resulting from mutations in behaviour after years of application, and those impacts can make the difference between successful and unsuccessful transformations.
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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 | 0.002 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.005 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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 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".