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What is Covered in this Program?

1. Foundations of Toll Road Business Models & Forecasting Needs

2. Data Collection & Baseline Development

3. Traffic Demand & Diversion Modeling

4. Revenue Estimation & Financial Linkages

5. Scenario Building & Risk Analysis

6. Reporting, Communication & Global Best Practices

Who should Attend?

1. Infrastructure & Transport Professionals: Engineers, transport economists, consultants, government officials, regulators, and concessionaires involved in planning, designing, or managing toll roads and PPP projects.

2. Finance & Investment Stakeholders: Bankers, investors, lenders, private equity professionals, and legal advisors who evaluate project risks, structure deals, or rely on accurate traffic and revenue forecasts for bankability and decision-making.

PROGRAM CONTENT

Toll Road Traffic and Revenue Forecasting Processes

1. Scope Definition & Kickoff Process

2. Project Inputs (Initial & Ongoing) Processes

3. Scope Processes: Feasibility, bid stage, refinancing, due diligence, arbitration support.

4. Kickoff activities

5. Data Collection & Review Processes

6. Traffic Data Collection Process

7. Willingness-to-pay surveys Process

8. Toll plaza transaction logs, GPS data Processes

9. Socio-Economic Data Collection Process

10. Competing & Complementary Infrastructure Evaluation Processes

11. Policy/Regulatory Processes

12. Revenue Forecasting Quality Check Process

13. Baseline Traffic Estimation & Classification Process

14. Demand Forecasting Process

15. Travel Demand Modeling Process

16. Revenue Forecasting Growth Factors Evaluation Process

17. Diversion Modeling Process

18. Elasticity Modeling Process

19. Induced Demand Process

20. Revenue Estimation Process

21. Toll rate Scenarios Evaluation Processes

22. Compliance/evasion Processes

23. Electronic tolling efficiency Processes

24. Model Toll exemptions Process

25. Inflation/escalation Evaluation Processes

26. Revenue Forecasting Scenario Development Processes

27. Base Case Process

28. Optimistic Case Process

29. Pessimistic Case Process

30. Policy Shock Scenario Process

31. Revenue Forecasting Event Scenario Process

32. Competitor Scenario Processes

33. Sensitivity & Risk Analysis Processes

34. Key drivers Processes

35. Revenue Monte Carlo simulation Processes

36. Revenue Forecasting Stress Testing Processes

37. Incident Reporting Processes

38. Revenue Forecast Report Preparation Processes

39. Traffic & Revenue Forecast Reporting Processes

40. Client Review & Iterations Processes

41. Quality Assurance Processes

42. Data Analytics opportunities to Improve Decision Making

43. Artificial Intelligence opportunities Evaluation Processes

44. Professional Credibility Establishment Processes

45. Revenue Forecasting Leadership Building Processes

46. Key Performance Indicators Processes

47. Internal Revenue Forecasting Performance Evaluators Process

48. Handling Job Interview Process

49. Revenue Forecasting Credibility Building Processes

50. Program Recommendations

51. Detailed Personalized Improvement Action Plan

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