The Traffic Safety Audit as an Imperative of Globalization Processes and Efficient Public Management
Bibliographic record
Abstract
The article substantiates the need to introduce an audit of traffic safety in Ukrainian automobile roads in the face of globalization and efficient public management. The article focuses on improving the level of traffic safety and the system of driving management by introducing a traffic safety audit. Traffic safety audits have been proven to be an important instrument for reducing road traffic accidents and risk of road accidents in many countries around the world. The experience of introducing a traffic safety audits in such foreign countries as Great Britain, Australia, New Zealand, Canada is considered, the possibility of its adaptation to the conditions of Ukraine is analyzed. The analysis of road traffic accidents in Ukraine for the period 2017-2019 is presented. The components of the occurrence of road traffic accidents, the technical and exploitative condition of automobile roads, the number and compliance of the technical condition of vehicles, the economic entities with the traffic ethics are considered. The stages of traffic safety audit are considered; it is specified that the effectiveness and efficiency of traffic safety audit depends on the availability of policies, programs, and the specification of audit procedures. The need to analyze the implementation of traffic safety measures in previous years (as an imperative of traffic safety audit) is proved. It is noted that an important component of traffic safety audit is the transport audit, the components of carrying out a transport audit are presented. The feasibility of analyzing previously implemented measures to prevent road traffic accidents by the authorities of the ministries and departments is proved. The issues of educating and training auditors are considered.
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 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 | 0.006 | 0.010 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.004 | 0.005 |
| Scholarly communication | 0.007 | 0.004 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.001 | 0.003 |
| 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".