Travel Demand Forecast Model Development


  • Puget Sound Regional Council, Seattle, WA: Supporting the design and calibration of activity-based model component to replace the trip generation component of the PSRC 4-step travel demand forecast model, including extensive use of household survey to support model estimation and calibration.
  • Metropolitan Transportation Commission Travel Model Specification and Training Study, Oakland, California: Managed the model system design, data preparation, and model estimation training and estimation support to assist MTC staff in developing a new set of regional travel models for the Bay Area.
  • San Francisco Travel Demand Forecast Model Development, San Francisco, California: For the San Francisco County Transportation Authority managed the creation of the county’s first travel demand forecast model. Managed all aspects of the project from its inception, including consultant selection process, model input development, work product review and feedback, and model performance evaluation. Has subsequently updated and recalibrated component models to reflect the most recent household survey and census data in order to support a toll and congestion pricing study.
  • SF Model Recalibration: Supported enhancement and expansion of San Francisco Model to encompass the entire Bay Area and provide increased sensitivity to congestion pricing alternatives. Primarily responsible for recalibration of all component models and worked extensively with regional household survey data to identify targets and rectify with other data sources.
  • Nashua Commuter Rail Model Development, Nashua, New Hampshire: Managed the development of a corridor travel demand model to estimate user benefits and ridership associated with a proposed commuter rail extension. The corridor model is a hybrid of the Massachusetts statewide model and the Boston regional model.
  • I-93 Transit Investment Study, Manchester, New Hampshire: Managed the expansion of the Nashua corridor travel demand model described above to estimate user benefits and transit ridership associated with a multimodal set of transit improvements, including light rail and BRT.
  • Orange County Travel Demand Forecast Model Feedback Implementation, Orange County, California: implemented feedback loops in the Orange County travel demand forecast model to ensure the consistency of model outputs and inputs. Documented and evaluated model performance.
  • Houston-Galveston Area Council (HGAC) Trip Distribution Calibration, Houston, Texas: calibrated a new trip distribution model, which was an advancement over earlier models due to the inclusion of multi-modal composite impedances.