Data-Driven Approaches for Transit Capital Planning
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2024-07-01
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Edition:Final Report [July 2024] (September 2022 - July 2024)
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Abstract: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). The MassDOT Rail and Transit Division (RTD) must allocate scarce capital funding to the RTAs by selecting capital projects for inclusion in the State Transportation Improvement Program (STIP). Existing processes for data collection and analysis are susceptible to discrepancies due to different data definitions and interpretations across users. This research begins with a review of the literature on transit asset management and an assessment of current processes for aggregating transit capital data from the RTAs in Massachusetts. Challenges with the existing capital planning process are identified from the perspective of the RTAs and for the project selection process managed by RTD. The potential process improvements include communicating procedures and timelines, introducing scoring rubrics, collecting and analyzing consistent data over time, and supporting project selection with optimization. Changes to the Asset Cloud software that MassDOT uses are identified that would enable these process improvements. The result is a set of potential changes that would move the transit capital planning process toward a more transparent, consistent, and repeatable method for making data-driven capital investment decisions.
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