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Forecasting Travel Demand -- Based on Chapter 6: Traffic Engineering Handbook


This webinar was developed by the ITE Traffic Engineering Council.

Webinar Description:
This webinar describes travel demand forecasting techniques, focusing on ways to integrate multiple modes (transit, trucks, etc.) into forecasts to support urban transportation engineering plans and studies. The webinar provides a practical overview of basic forecasting (modeling) principles, current and emerging modeling approaches, underlying data requirements, effective modeling practices and common pitfalls, and examples. The webinar is based on the Traffic Engineering Handbook 7th Edition’s Chapter 6, Forecasting Travel Demand.

Learning Objectives:

  • Describe practical approaches for integrating multiple modes (transit, trucks, etc.) into commonly used forecasting paradigms for urban transportation engineering applications, with a focus on the four-step modeling process.
  • Discuss travel surveys and data requirements that are used to calibrate travel demand models.
  • Evaluate different modeling applications such as road pricing, TDM, and traffic impact analyses.
  • Identify emerging modeling methods and data sources.


  • David Kriger, P.E., Principal | David Kriger Consultants, Inc.

    David Kriger, P.Eng., RPP, MCIP is Principal of David Kriger Consultants Inc., based in Ottawa, Canada. He has 38 years of experience in travel demand modeling, travel surveys, and trends analysis for transportation plans, policy studies, P3 traffic and revenue forecasts, and environmental assessments in the USA, across Canada, and around the world. David was the author of the Traffic Engineering Handbook 7th Edition’s chapter on forecasting travel demand - the subject of this webinar. He has written several modeling best practice guides and has contributed more than 50 papers to the transportation literature. David holds a bachelor’s degree in civil engineering from the University of Toronto and master’s degrees in transportation engineering and city planning from the University of Pennsylvania.

October 27, 2020
Tue 2:00 PM EDT

Duration 1H 30M

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