ISPRS International Journal of Geo-Information,
Journal Year:
2023,
Volume and Issue:
12(12), P. 482 - 482
Published: Nov. 28, 2023
Climate
change
is
expected
to
result
in
increased
occurrences
of
extreme
weather
events
such
as
heat
waves
and
cold
spells.
Urban
planning
responses
are
crucial
for
improving
the
capacity
cities
communities
deal
with
significant
temperature
variations
across
seasons.
This
study
aims
investigate
relationship
between
urban
fluctuations
morphology
throughout
four
Through
quadrant
statistical
analyses,
built-environment
factors
identified
that
moderate
or
exacerbate
seasonal
land
surface
temperatures
(LSTs).
The
focus
on
Seoul,
South
Korea,
a
case
study,
LST
values
calculated
at
both
grid
(100
m
×
100
m)
street
block
levels,
incorporating
vegetation
density,
use
patterns,
albedo,
two-
three-dimensional
building
forms,
gravity
indices
large
forests
water
bodies.
analysis
reveals
spatial
segregation
areas
demonstrating
high
adaptability
(cooler
summers
warmer
winters)
those
displaying
vulnerability
(hotter
colder
winters),
differences
forms.
Spatial
regression
analyses
demonstrate
higher
density
proximity
bodies
play
key
roles
moderating
LSTs,
leading
cooler
winters.
Building
characteristics
have
constant
impact
LSTs
all
seasons:
horizontal
expansion
increases
LST,
while
vertical
reduces
LST.
These
findings
consistent
grid-
block-level
analyses.
emphasizes
flexible
role
natural
environment
temperatures.
Land,
Journal Year:
2025,
Volume and Issue:
14(3), P. 476 - 476
Published: Feb. 25, 2025
Urban
morphology
significantly
influences
residents’
noise
perceptions,
yet
the
impact
across
different
spatial
and
temporal
scales
remains
unclear.
This
study
investigates
scale-dependent
relationship
between
urban
perception
in
New
York
City
using
complaint
rates
(NCR)
as
a
proxy
for
perceived
levels.
A
multi-scale
analysis
framework
was
applied,
including
four
(100
m,
200
500
1000
m)
three
classifications
(daytime/nighttime/dawn,
weekdays/weekends,
seasonal
divisions).
Statistical
analyses,
Spearman
correlation,
Moran’s
I
test,
Geographically
Weighted
Regression
(GWR),
examined
spatiotemporal
heterogeneity.
Results
show:
(1)
NCR
indicators
vary
aggregations.
(2)
Correlations
generally
strengthen
with
larger
units,
revealing
scale
effect.
Temporal
variations,
e.g.,
residential
land
ratio
(RES)
greenery
percentage
(SVI
Green),
show
stronger
correlations
summer
than
winter.
(3)
The
index
revealed
significant
clustering
at
m
scale.
Multi-temporal
GWR
variations
morphology-noise
relationships
contexts;
areas,
building
density
exacerbates
complaints
more
during
non-working
periods
working
hours.
enhances
understanding
of
sound
environments,
offering
insights
required
precise
planning
policies.
IEEE Transactions on Geoscience and Remote Sensing,
Journal Year:
2024,
Volume and Issue:
62, P. 1 - 12
Published: Jan. 1, 2024
As
cities
grow
and
develop,
more
natural
landscapes
are
transformed
into
heat-absorbing
surfaces,
further
exacerbating
urban
heat
island
(UHI)
effect.
To
seek
efficient
strategies
for
UHI
mitigation,
it
requires
a
good
knowledge
on
the
driving
mechanisms
of
heat.
Based
surface
energy
balance,
this
study
decomposed
(SUHI)
in
terms
five
biophysical
drivers
(radiation,
anthropogenic
heat,
convection,
evapotranspiration
storage),
applied
approach
Beijing
using
remote
sensing
images
Google
Earth
Engine.
The
SUHI
intensity,
calculated
by
combining
contribution
terms,
observed
through
Landsat
8
land
temperature
product,
agreement,
with
root-mean
square
error
0.776
K
coefficient
determination
0.947.
Besides
building
morphological
blocks,
it's
changes
term
(a
function
to
Bowen
ratio,
which
describes
capacity
rural
evaporate
water),
that
controls
spatial
variations
intensity
during
summer.
For
instance,
low-rise
high-density
regions
exhibit
strong
effect,
above
were
0.03
K,
0.44
-0.74
1.35
-0.08
average,
respectively.
In
comparison
height,
density
stronger
affects
terms.
results,
reducing
such
as
green
spaces,
cool
roofs,
open
layouts,
recommended.
findings
suggestions
refer
particular
city
season.
Further
experiments
research
should
be
carried
out
deeper
understanding
mechanism
SUHI.
