Principal Investigator
Giovanni Circella
Contact Email
gcircella@ucdavis.edu
Team
Jaime Soza-Parra, Tho V Le, Xiaodong Qian, Ran Sun, Miguel Jaller, David Bunch
Acknowledgments
This project is supported by the Capitol Corridor Joint Powers Authority (CCJPA) and the valuable contributions of multiple experts.
Description
The research project supports the California Capitol Corridor Joint Power Authority (CCJPA) in the evaluation of a proposed second rail crossing to connect the City of San Francisco with the East Bay. The team evaluates the use of demand forecasting models to predict forecasted travel demand in the region, focusing in particular on classifying the modeling tools based on assumptions and modeling approaches (“How” they model travel demand) and the scale at which the models work and what travel modes and components of behavioral choices they include (“What” they model). The team analyzes the available data sources, including information from national household travel data, California household travel data, MPO regional household travel data, traffic data, and other sources, to complement the assessment of travel patterns in the region. Based on the evidence from current travel market and available travel demand forecasting modeling tools, the team proposes four different modeling recommendations and assesses how future travel demand patterns could be affected by the adoption of new technologies and other factors affecting travel demand in the region and their ability to predict travel demand in these rapidly changing future scenarios.
Resources
JOURNAL ARTICLES AND BOOK CHAPTERS
PRESENTATIONS and WEBINARS
REPORTS
CONFERENCE PROCEEDINGS
OTHER