Buildings,
Journal Year:
2025,
Volume and Issue:
15(8), P. 1256 - 1256
Published: April 10, 2025
Understanding
the
influence
of
urban
morphology
on
Land
Surface
Temperature
(LST)
is
essential
for
planning,
development,
and
mitigating
heat
island
effect.
Leveraging
high-resolution
remote
sensing
data,
this
study
systematically
extracted
64
2D
morphological
parameters
(UMPs)
28
3D
UMPs,
along
with
their
corresponding
summer
winter
LST
at
both
grid
level
(using
a
30
m
×
as
minimum
unit)
block
an
unit).
The
UMPs
were
derived
from
landscape
indices
land
cover,
while
included
building-related
(BUMPs)
tree-related
(TUMPs).
Ultimately,
multiple
statistical
methods
employed
to
investigate
complex
mechanisms
through
which
these
across
winter.
This
showed
following
results:
(1)
Most
significantly
correlated
in
seasons
grid/block
levels,
stronger
correlations
level.
(2)
Stepwise
regression
revealed
that
combining
enhanced
explanation,
achieving
R2
=
70.9%
(summer)
65.7%
(winter)
entire
area,
consistent
results
built-up
zones.
(3)
Relative
importance
analysis
identified
35
influential
features,
ranked
follows:
>
BUMPs
TUMPs.
highlights
UMPs’
dominance
confirming
significance.
These
findings
emphasize
need
integrated
design,
considering
planar
layouts
vertical
configurations
buildings/vegetation.
provides
practical
guidance
thermal
environment
mitigation
sustainable
development
optimized
spatial
planning.
Ecological Indicators,
Journal Year:
2023,
Volume and Issue:
154, P. 110550 - 110550
Published: June 27, 2023
Numerous
studies
on
reducing
the
urban
heat
island
effect
have
concentrated
isolated
cold
islands,
analyzing
their
cooling
impact
in
terms
of
size
and
shape.
From
an
international
perspective,
shown
that
enhancing
connectivity
islands
can
enhance
but
they
do
not
suggest
specific
processes
ideas
for
connectivity.
This
study
aims
to
investigate
how
connect
optimize
spatial
pattern
island.
Therefore,
a
framework
is
constructed
this
study:
source
area
-
network.
Firstly,
core
was
identified
by
morphological
analysis.
Then,
analysis
applied
identify
sources.
Afterward,
minimum
cumulative
resistance
model
used
construct
In
Nanjing,
case
point,
results
reveal
total
27
areas
52
corridors
been
identified.
6
first-level
CSAs
situated
northern
suburbs
Nanjing
prevent
spread
effect.
2
second-level
18
third-level
are
scattered
throughout
improve
climate.
The
29
primary
help
mitigate
transfer
from
city
center.
23
secondary
mainly
located
centers
contributing
preventing
aggregating.
be
as
strategic
measure
fragmentation
isolation
island,
which
provides
implications
further
expansion
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing,
Journal Year:
2024,
Volume and Issue:
17, P. 4109 - 4124
Published: Jan. 1, 2024
The
escalation
of
greenhouse
gas
emissions
has
led
to
a
continuous
rise
in
land
surface
temperature
(LST).
Studies
have
highlighted
the
substantial
influence
urban
morphology
on
LST;
however,
impact
different
dimensional
indicators
and
their
gradient
effects
remain
unexplored.
Selecting
area
Shenyang
as
case,
we
chose
various
representing
dimensions.
By
employing
XGBoost
for
regression
analysis,
aimed
explore
2D
3D
seasonal
LST
its
effect.
following
results
were
obtained:
(1)
spatial
pattern
spring
winter
was
higher
suburbs
than
center.
(2)
correlation
patterns
similar,
except
proportion
woodland
grass
(PWG),
digital
elevation
model
(DEM),
sky
view
factor
(SVF),
which
exhibited
opposing
trends
summer
autumn.
(3)
Vegetation
construction
had
highest
index,
followed
by
building
forms
natural
landscapes
morphology.
(4)
each
indicator
varied
significantly
across
gradients.
Among
all
indicators,
landscape
social
development,
forms,
skyscape
impacts
areas.
built-up
areas
greater
suburban
findings
this
study
can
assist
adjusting
provide
valuable
recommendations
targeted
improvements
thermal
environments,
thereby
contributing
sustainable
development.
