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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 Skills

1. Scope Definition & Kickoff

2. Project Inputs (Initial & Ongoing)

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

4. Kickoff activities

5. Data Collection & Review

6. Traffic Data Collection

7. Willingness-to-pay surveys

8. Toll plaza transaction logs, GPS data

9. Socio-Economic Data Collection

10. Competing & Complementary Infrastructure Evaluation

11. Policy/Regulatory Aspects

12. Evaluation Quality Checks

13. Baseline Traffic Estimation & Classification

14. Demand Forecasting

15. Travel Demand Modeling

16. Growth Factors Evaluation

17. Diversion Modeling

18. Elasticity Modeling

19. Induced Demand Evaluation

20. Revenue Estimation

21. Toll rate Scenarios Evaluation

22. Compliance/evasion Risk Evaluation

23. Electronic tolling

24. Model Toll exemptions

25. Inflation/escalation Evaluation

26. Possible Revenue Forecast Scenarios Development

27. Base Case Evaluation

28. Optimistic Case Evaluation

29. Pessimistic Case Evaluation

30. Policy Shock Scenario

31. Revenue Event Scenario Evaluation

32. Competitor Scenario Evaluation

33. Sensitivity & Risk Analysis

34. Revenue Monte Carlo simulation

35. Revenue Forecast Stress Testing of Analysis

36. Incident Impact Reporting of Forecast

37. Revenue Forecast Report Preparation

38. Traffic & Revenue Forecast Reporting

39. Revenue Forecast Client Review & Iterations

40. Program Recommendations

41. Personalized Improvement Action Plan Outline

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