Also available as Adobe PDF (347 KB)
PDF files can be viewed with the Acrobat® Reader®
TMIP recently sponsored a webinar series on Activity-Based Modeling including three (3) non-technical sessions for managers and nine (9) technical sessions for travel model practitioners as listed below. Presentation slides and session recordings are not available online. Summaries are available at www.fhwa.dot.gov/planning/tmip/community/webinars/summaries/. Contact Sarah Sun for more information.
An Instructor's Manual will be posted on TMIP website at the conclusion of the series
The following list of select references represents the latest and most relevant literature on the development, estimation and application of activity-based models (ABMs). These references may be of use to any agency considering the adoption of activity-based modeling systems.
Resource Systems Group. (2012). The ARC and SACOG Experience with
Activity-Based Model: Synthesis and Lessons Learned.Washington, D.C.: Association of Metropolitan Planning Organizations.
Vanasse Hangen Brustlin, Resource Systems Group, Shapiro Transportation Consulting and Urban Analytics. (2011). Advanced Travel Modeling Study: Final Report.Washington DC: Association of Metropolitan Planning Organizations.
Ferdous, N., Bhat, C., Vana, L., Schmitt, D., Bradley, M., & Pendyala, R. (2011). Comparison of Four-Step versus Tour-Based Models in Predicting Travel Behavior Before and After Transportation System Changes--Results, Interpretation and Recommendations.Ohio Department of Transportation Office of Research and Development; U.S. DOT Federal Highway Administration; Center for Transportation Research, University of Texas, Austin.
Donnelly, R., Erhardt, G. D., Moeckel, R., & Davidson, W. A. (2010). NCHRP
Synthesis 406: Advanced Practices in Travel Forecasting: A Synthesis of Highway Practice.Washington, DC: National Academy of Sciences, Transportation Research Board.
The map below illustrates the regions of the country where activity-based models have been adopted by the planning agency and their development and application status. Note, Oregon DOT and Ohio DOT have implemented statewide activity-based models.
Activity-based models can take advantage of a much wider range of data than trip-based models, and are more complex as a result. They produce a richer dataset for analysis, but that data requires knowledgeable staff to summarize and interpret effectively. Custom software, and sometimes hardware solutions that include distributed computing, can also be required to apply activity-based models. Taking all of this into consideration, you may be wondering whether an activitybased model is right for your agency. Taking a big-picture perspective, there are some fundamental questions that an agency should ask when considering whether to "take the plunge" towards an activity-based model system.
Source: Jerry Everett, "Triangle Regional Model Expert Panel Review: Summary Report", November 17-18, 2011
The checklists below are designed to help an agency perform a self-assessment as to whether adoption of an activity-based modeling system is appropriate.
|Staff Experience Checklist|
|Skill Sets||Need for Activity Model||Need for Trip-Based Model|
|Facility with simulation programming and outputs||Essential||Not necessary|
|Knowledge of discrete choice model structures, behavior, utility theory||Essential||Desirable|
|GIS manipulation of land use parcel data||Essential/Desirable||Desirable|
|SQL scripting and database manipulation||Essential/Desirable||Not necessary|
|Policy Tests Checklist|
|Policy Tests||Use an Activity Model?||Use a Trip Model?|
|Transit oriented development||Yes||No|
|Transit schedules||Yes, round trips||Yes, one-way|
|Transit fare policies||Yes||Limited|
|Travel demand management programs||Most||No|
|Transportation systems management*||Yes||No|
|Impacts of Interest Checklist|
|Impacts of Interest||Use an Activity Model?||Use a Trip Model?|
|Emissions for a Household||Yes||No|
|Travel time variability*||Yes||Limited|
|Start/stop emissions by time of day||Yes||No|
|Vehicle type and choice||Yes||No|
|Equity by income group||Yes||No|
*Addressing travel time variability and systems management requires a very detailed and realistic supply-side network model (dynamic traffic assignment or preferably microsimulation).