Data-Driven Approaches for Transit Capital Planning

Transparent and repeatable processes are needed to forecast needs and prioritize capital investments across 15 Regional Transit Authorities (RTAs) in Massachusetts for the Capital Investment Plan (CIP). Existing processes for data collection and analysis are susceptible to discrepancies due to different data definitions and interpretations across users. Transparent and repeatable processes for data aggregation and analysis are necessary to support decision making through the CIP. The project has three objectives: (1) To identify and prioritize the data requirements, aggregation methods, and analysis techniques to forecast needs for transit capital investment decisions that align with the Commonwealth's priorities over a 5-year planning horizon. (2) To identify software tools and workflows that make data aggregation and analysis processes more transparent, consistent, and repeatable for prioritizing capital investments. (3) To create an implementation plan so that proposed processes are adopted consistently across RTAs and are repeatable over time.

• Record URL:
  www.mass.gov/doc/data-driven-approaches-for-transit-capital-planning/download

Language

• English

Project

• Status: Active
• Funding: $100000
• Contract Numbers:

  119829

• 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:

  Massachusetts Department of Transportation

  10 Park Plaza
  Boston, MA  United States  02116
• Performing Organizations:

  University of Massachusetts, Amherst

  Department of Civil and Environmental Engineering
  130 Natural Resources Road
  Amherst, MA  United States  01003
• Principal Investigators:

  Gonzales, Eric J

• Start Date: 20220921
• Expected Completion Date: 20240731
• Actual Completion Date: 0

Subject/Index Terms

• TRT Terms: Capital investments; Data collection; Decision making; Forecasting; Plan implementation; Transit authorities
• Geographic Terms: Massachusetts
• Subject Areas: Data and Information Technology; Finance; Planning and Forecasting; Public Transportation;

Filing Info

• Accession Number: 01879128
• Record Type: Research project
• Source Agency: Massachusetts Department of Transportation
• Contract Numbers: 119829
• Files: RIP, STATEDOT
• Created Date: Apr 12 2023 10:02AM