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Profiling the Railway Industry in SA

Profiling the Railway Industry in SA. Letsane Rathaba RSR Inspector IRSC 2008 DENVER, COLORADO. USA. OVERVIEW. INTRODUCTION THE RSR THE RAILWAY INDUSTRY IN SA THE RISK PERCEPTION MODEL DETERMINISTIC RISK MODEL CONCLUSION. THE RSR (1). NATIONAL RAILWAY SAFETY REGULATOR ACT (2002)

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Profiling the Railway Industry in SA

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  1. Profiling the Railway Industry in SA LetsaneRathaba RSR Inspector IRSC 2008 DENVER, COLORADO. USA.

  2. OVERVIEW • INTRODUCTION • THE RSR • THE RAILWAY INDUSTRY IN SA • THE RISK PERCEPTION MODEL • DETERMINISTIC RISK MODEL • CONCLUSION

  3. THE RSR (1) • NATIONAL RAILWAY SAFETY REGULATOR ACT (2002) • PURPOSE • Promote safe railway operations • Collaboration and participation • Operators are responsible and accountable for safety • Harmonisation in SADC • Establish a regulatory regime

  4. Board Internal Audit CEO Legal advisor/ Board Secretary Strat & Econ. Planning Regulation Assurance Support Finance THE RSR (2)

  5. THE RSR (3) • A brief history • Operational since late 2005 • Inspectorate appointed 2006 • Enforcement since 2006 • 12 Engineers, 2 Offices • Funding

  6. SA RAIL INDUSTRY • Transnet Freight Rail • Total Network (22 241 km – DC, AC, Non-electric) • Coal Export line (67 mt) • Iron ore line (30 mt) • General Freight Business (84 mt) • SA Rail Commuter Corporation (Metrorail) • OTHER

  7. RISK PERCEPTION MODEL cont … • Economic Sector risk perception • H - Tourism - severity, occurrence history • H - Petrochemicals - severity • H - Class I operators • M - Municipalities, Ports, Mining, Manufacturing, • L - Sidings and terminals and Agricultural • E.g. High risk (passenger, dangerous goods, NTS) • Used to prioritize activities

  8. THE RISK PERCEPTION MODEL • Absence of objective data • Risk Based Approach • Risk profile to appraise industry risk levels • Main factors • Commodity transported (passenger, dangerous goods, freight) • Operator category (Station, Network, Train) • Volume of goods • Nature and complexity of operations • Occurrence Probability • Occurrence Severity

  9. SHORTCOMINGS OF RPM • Subjectivity (perception) • Non-use of operational data • Does not take into account occurrence record • Does not take into account compliance record

  10. DETERMINISTIC RISK MODEL (DRM) (Dr Chris Dutton) • Improvement on the RPM • A more objective methodology • Take into account both potential and reality risk of each operator • Potential Risk based on Nature of Business • Category within each factor • Occurrence risk (prob+severity) within each category • Weightings of each category

  11. POTENTIAL RISK • NOBFI (nature of business factor impact, high, medium, low and very low) • OSI (occurrence severity impact) • OPI (occurrence probability impact inferred from the frequency of occurrence)

  12. NATURE OF BUSINESS FACTORS

  13. OCCURENCE SEVERITY IMPACT

  14. OCCURRENCE PROBABILITY IMPACT

  15. RISK CATEGORY ALLOCATION (1)

  16. RISK CATEGORY ALLOCATION (2)

  17. RISK CATEGORY CALCULATION

  18. REALITY RISK • Based on actual operator performance • Incident record • Number of occurrences per annum • Severity of previous occurrences • Compliance record • Submission requirements • Responsiveness to directives • Performance against directives

  19. REALITY RISK CATEGORIES

  20. REALITY RISK CALCULATION

  21. DRM DECISION CRITERIA

  22. CONCLUSION • Data capturing • Lots of potential!

  23. THANK YOU

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