Road Safety Data

The new Road Safety Data Course is designed to assist Road Safety professionals in understanding how STATS19 defines the meaning of road safety statistics, how the data collection process may influence the statistics, how to locate and explain published statistics and how to identify appropriate and relevant metrics for placing statistics in context.

Why should you attend the course?

Being able to understand, manage and interpret data and evidence is a key skill for any Road Safety professional. This training course starts by introducing attendees to the STAST19 dataset including the life cycle from collection to publication, noteworthy inclusions and exclusions, and potential shortcomings including under-reporting and misreporting.

Once the basics have been covered there is a review of published road safety data, how to get hold of data, associated traffic statistics and appropriate analytical approaches associated with the different datasets.

The final parts of the course look at risk on roads through network and cluster analysis, followed by a look at residency and when it's important to review the home location of casualties and drivers involved in injury collisions.

Attendee outcomes

  • Know how STATS19 defines the meaning of road safety statistics
  • Understand how the data collection process may influence the statistics
  • Locate and explain published statistics
  • Identify appropriate metrics for placing statistics in context
  • Calculate rates using both statistics and relevant metrics
  • Locate and describe real world uses of road safety statistics
  • Interpret published statistics, including the identification of ambiguity or error
  • Recognise conclusions which may be drawn directly, and which require further information

What is evidence?

The course equips attendees with knowledge and skills to allow them differentiate between types of evidence, between correlation and causation, between realistic or less realistic evidence, crucial when one needs to transform data and evidence into actionable insight.

Interpretation

Attendees are able, by the end of the training to understand how evidence and data can be used to create meaningful interpretations, what data sources are and how to use them, how to use counts and rates and how to interpret each of them.

Contributory Factors

Attendees learn how to have a critical view on the characteristics and the reliability of CFs and practically experience various analytical issues as well as some possibilities to overcome these issues. Human error and freedom of information are also discussed.

Best Practice

The whole course is interactive and uses a lot of examples from best practice and from real databases, which allows attendees to connect with the discussed notions and to better understand how the data is collected, interpreted and used for informing interventions.

Frequently Asked Quesions

1What are the main topics of the course?
The course includes a comprehensive agenda designed to equip attendees with the knowledge and skills to analyse and interpret data and evidence.
Topics include:
• What is evidence?
• Provenance
• Interpretation
• The network dimension
• The people dimension
• Contributory factors
2How long does the course take?
The training course is two-day long.
3Is the course accredited?
Yes.
Affiliation with the Academy ensures that RSA’s courses meet a recognised standard and are accredited accordingly.
4Are there any prerequisites required?
No.
A minimum level of numeracy is required in order to keep up with the training pace.
5Is there any assessment at the end of the course?
Yes.
To successfully gain the award the candidates must:
• Attend the course and satisfactorily complete the on course assessments
• Complete a post course assignment locating and assessing real world examples of road safety data in use
Part One: On course assessment
You will be assessed on:
• Knowing how STATS19 defines the meaning of road safety statistics
• Understanding how the data collection process may influence the statistics
• Locating and explaining published statistics
• Identifying appropriate metrics for placing statistics in context
• Calculating rates using both statistics and relevant metrics
The assessments are conducted by competing a series of worksheets issued during the course.
Part Two: Post course research
You will be assessed on:
• Locating and describing real world uses of road safety statistics
• Interpreting published statistics, including the identification of ambiguity or error
• Recognising conclusions which may be drawn directly, and which require further information
The assessment can be achieved through two case studies, either/or:
• in written form (each of no more than 1,000 words); or
• as a video submission (each of no more than 5 minutes) accompanied by a supporting note containing statistical information as necessary.

RSGB Academy

This course is run in conjunction with the RSGB Academy, the professional development arm of Road Safety GB. Courses are either hosted on behalf of the Academy and are open to all members or can be booked privately for an organisation. Affiliation with the Academy ensures that RSA’s courses meet a recognised standard and are accredited accordingly.