Spatially
varying diesel locomotive fuel use and emission rates
(FUERs) are needed to accurately quantify local emission hotspots
and their health impacts. However, existing locomotive FUER data are
typically not spatially resolved or representative of real-world locomotive
operation. Therefore, existing data are of limited use in quantifying
the spatial variability in real-world FUERs. The objectives of this
work are to quantify spatial variability in locomotive FUERs and identify
factors differentiating hotspots from non-hotspots. FUERs were measured
based on real-world measurements conducted for the Piedmont passenger
rail service using a portable emission measurement system. FUERs were
quantified based on 0.25 mile track segments on the Piedmont route.
Hotspots were defined as segments in the top quintile of segment-average
FUERs. On average, hotspots contributed 40–50% to trip fuel
use and emissions. Hotspots were typically associated with low-to-medium
speed, and high acceleration and grade. In contrast, non-hotspots
were associated with high speed, and low acceleration and grade. Hotspots
were typically located near populated areas and, thus, may exacerbate
air pollutant exposure. The method demonstrated here can be applied
to other passenger train services to assess key trends in hotspot
locations and factors that explain the occurrence of hotspots.