multimodal

Ridehailing use, travel patterns and multimodality: A latent-class cluster analysis of one-week GPS-based travel diaries in California

Research Product Type
Associated Publication
This study performs a latent-class cluster analysis on data from the four largest metro areas in California and identifies four distinctive traveler groups with varying levels of multimodality. The findings from this study will prove valuable for transit agencies and policymakers interested in integrating ridehailing with other modes.

Smart Growth Trip Generation

  • Principal Investigator Susan Handy, Ph.D.
  • University of California, Davis
The goal of this project is to develop and disseminate data and a method that practitioners can use to estimate multimodal trip-generation rates for “smart growth” land use development projects proposed in California.
Project Status
Complete