Quantifying Public Transit Improvements: A Multimodal Evaluation of Recent Improvements to Los Angeles Rail Infrastructure

While billions of dollars are spent on public transit infrastructure, equilibrium implications of these investments are poorly understood. The research team builds a model that combines key features of transportation models and quantitative spatial equilibrium models in order to be able to produce more precise predictions of the effects of transit improvements. The quantitative model features thousands of spatial units populated by commuters who choose locations of residence and work, as well as transportation mode and route to commute between these locations. The team estimates the model using unique cell phone data that tracks individual trips and routes. The team uses the model to estimate the effects of recent transit improvements in Los Angeles, the K Line and the Regional Connector. The team also shows how the framework can be applied by policymakers and planners in any urban area in the United States to evaluate the impact of transit improvements.

Language

  • English

Project

  • Status: Programmed
  • Funding: $99853
  • Contract Numbers:

    69A3552348309

  • Sponsor Organizations:

    Office of the Assistant Secretary for Research and Technology

    University Transportation Centers Program
    Department of Transportation
    Washington, DC  United States  20590
  • Managing Organizations:

    METRANS Transportation Consortium

    University of Southern California
    Los Angeles, CA  United States 
  • Project Managers:

    Hong, Jennifer

    Bruner, Britain

  • Principal Investigators:

    Parkhomenko, Andrii

  • Start Date: 20250101
  • Expected Completion Date: 20260515
  • Actual Completion Date: 0
  • USDOT Program: University Transportation Centers

Subject/Index Terms

Filing Info

  • Accession Number: 01927773
  • Record Type: Research project
  • Source Agency: Pacific Southwest Region University Transportation Center
  • Contract Numbers: 69A3552348309
  • Files: UTC, RIP
  • Created Date: Aug 22 2024 2:53PM