Assessing the Impact of a Low-Emission Zone on Air Quality Using Machine Learning Algorithms in a Business-As-Usual Scenario
Sustainability,
Journal Year:
2025,
Volume and Issue:
17(8), P. 3582 - 3582
Published: April 16, 2025
The
proliferation
of
low-emission
zones
(LEZs)
across
Europe
is
anticipated
to
accelerate
in
the
coming
years
as
a
measure
enhance
air
quality
urban
areas.
Nevertheless,
there
lack
standardized
methodology
evaluate
their
effectiveness,
and
some
proposed
strategies
may
not
adequately
address
issues
or
overlook
meteorological
considerations.
In
this
study,
we
employ
three
machine
learning
(ML)
algorithms
forecast
NO2,
PM10
PM2.5
concentrations
Madrid
2022
(post-LEZ)
based
on
data
from
period
2015–2018
(pre-LEZ)
under
business-as-usual
scenario,
accounting
for
seasonal
factors.
According
models,
reductions
NO2
varied
29
35%
contrast
scenario
without
LEZ,
which
coherent
with
observed
decrease
traffic
volume
inside
area
limited
by
LEZ.
However,
no
clear
improvement
was
concentrations.
Language: Английский
Initial Insights into Teleworking’s Effect on Air Quality in Madrid City
Published: Aug. 16, 2024
Commuting
to
work
by
private
vehicle
is
one
of
the
main
sources
air
pollution
in
cities,
mainly
from
NO2
and
particulate
matter
(PM2.5
PM10).
With
spread
telework,
traffic
congestion
during
peak
hours
reduced
on
certain
days
week,
improving
quality.
This
study
an-alyzes
relationship
between
improvement
quality
urban
resulting
teleworking
activities
after
COVID-19
pandemic
Madrid,
Spain.
The
article
considers
road
before
(2018
2019),
(2020
2021)
period
(2022
2023)
city
center
in-fluence
environmental
factors.
Daily
NO2,
PM2.5,
PM10,
O3
concentration
data
were
collected
at
stations
Madrid
municipality,
some
meteorological
variables
such
as
wind
speed,
precipitation
temperature
considered.
When
conducting
correlation
regression
analysis
among
it
shows
a
clear
association
pandemic,
which
lower
for
both
PM
O3.
was
main-tained
except
O3,
whose
increased
this
then
decreased
later
due
various
motives.
These
results
seem
indicate
ex-istence
relevant
mobility
an
especially
rele-vant
with
suggesting
need
policies
aimed
promoting
sustainable
future.
Language: Английский