  This research provides a novel framework to estimate the economic,
environmental, and social values of electrifying public transit buses, for
cities across the world, based on open-source data. Electric buses are a
compelling candidate to replace diesel buses for the environmental and social
benefits. However, the state-of-art models to evaluate the value of bus
electrification are limited in applicability because they require granular and
bespoke data on bus operation that can be difficult to procure. Our valuation
tool uses General Transit Feed Specification, a standard data format used by
transit agencies worldwide, to provide high-level guidance on developing a
prioritization strategy for electrifying a bus fleet. We develop
physics-informed machine learning models to evaluate the energy consumption,
the carbon emissions, the health impacts, and the total cost of ownership for
each transit route. We demonstrate the scalability of our tool with a case
study of the bus lines in the Greater Boston and Milan metropolitan areas.
