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PM2.5 entails everything within the air that is not the gas,
and comprises a diameter of 2.5 micrometers or less.
Effects of PM2.5 are continuously studied; however it has
been proven to pose adverse negative health effects such
as respiratory diseases and premature mortality. Human illhealth
brings the necessity to remedy and mitigate PM2.5
emissions in air pollution. Traffic is a key contributor to the
PM levels; hence the increased adoption of EVs may be one of
the ways in which PM levels could be reduced. With the use
of literature and statistical analysis, it is possible to study the
role of EVs in influencing PM2.5 levels.
Secondary data was collected from 5 London boroughs,
consisting of annual mean PM2.5 (�?¼g/m3), annual MVC, and
number of registered ULEVs, BEVs, and PHEVs for each site
from 2011-2019. Producing a multivariate regression model
displayed 2 negative correlations between PM2.5 levels,
and ULEVs/MVC. Furthermore, ULEVs are statistically highly
significant at explaining the variation in PM2.5 levels, while
MVC was depicted to be statistically not significant. Exclusion
of PHEV and BEV data may indicate different types of EVs
do not necessarily contribute more than others in reducing
PM2.5 levels, whereas the reduction is derived from the
electrification of all vehicles in the sector. In conclusion, the
shift towards EVs does influence the decrease of PM2.5
levels. Future policy should focus on providing favorable
benefits to EV owners, attracting and motivating citizens to
adopt an economical alternative, all the while reducing PM2.5
emissions from traffic.
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