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Activity Model Development Experiences

Video

Note, no video/audio recording is available for this webinar because it was not recorded

Info

Date: Thursday, June 18, 2009
Time: 2:30pm - 4:30pm Eastern Time
Location: Online

Intended Audience

Agencies that are considering the move to activity-based models and want to understand the steps involved in the process. Individuals interested in understanding the development process that has occurred for the early-adopting agencies.

Description

This presentation, originally given at a symposium sponsored by the Chicago Metropolitan Agency for Planning, is based on the experiences of projects that have been carried out for the US metropolitan planning agencies now using activity-based models, as well as other projects now under way. It starts by describing an activity-based model system, starting from the context of today's trip-based model systems and showing the parts that remain the same and the parts that change. The biggest part of the presentation is devoted to explaining the development tasks. Each of twelve tasks is discussed, including nine tasks devoted to building the model system and three tasks devoted to tuning it. Then it looks at three basic approaches that have been used for completing these tasks: invent, adapt and adopt. Several key roles are described that are needed for completing the project tasks, including those of Activity-Based Model Developer, Trip-Based Model Expert, GIS/DB/GUI Experts, and Application Expert.

Presenters

John Bowman

John Bowman is an independent consultant. Since 1994 he has been developing, improving and helping agencies implement the activity schedule approach for the forecasting of regional passenger travel demand. He helps agencies map out their development strategy. Then he designs and develops the needed models and software, and provides training, guidance, and implementation assistance. John has also developed market demand simulators (based on customer data and stated choice data), airport access models and commuter rail demand forecasts, and evaluated models developed by others, including the estimation of uncertainty and bias of model-based forecasts. John has taught demand modeling occasionally at MIT, where he earned an MS degree in Transportation in 1995, and a PhD in Transportation Systems and Decision Sciences in 1998.

Continuing Education

This webinar is the equivalent of two (2) professional development hours (PDHs). TMIP does not issue certificates of attendance. If you attend the webinar, please save the information on this page for your files.

Updated: 03/28/2014
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