Design and Site-Related Factors Impacting the Cooling Performance of Urban Parks in Different Climate Zones: A Systematic Review
Land,
Journal Year:
2024,
Volume and Issue:
13(12), P. 2175 - 2175
Published: Dec. 13, 2024
As
cities
expand
rapidly,
the
combined
effects
of
urbanization,
global
warming,
and
intensification
Urban
Heat
Island
(UHI)
phenomenon
have
become
more
challenging
for
urban
environments.
In
response,
Green
Infrastructure
(UGI)
has
gained
attention
as
a
practical
effective
tool
mitigating
UHI
improving
climate
change.
Among
various
UGIs,
parks
been
subject
numerous
studies
due
to
their
proven
ability
reduce
air
surface
temperatures,
improve
local
microclimates,
enhance
overall
livability.
This
systematic
review
synthesizes
existing
body
research
identify
key
factors
that
influence
cooling
performance
parks.
A
total
131
peer-reviewed
between
2014
2024
were
analyzed,
focusing
on
both
design-related
site-related
play
pivotal
roles
in
park’s
effectiveness.
Design-related
include
park
size,
shape,
vegetation
density
composition,
presence
water
bodies,
impervious
surfaces
while
encompass
background
conditions,
proximity
natural
configuration
surrounding
The
findings
reveal
tree
coverage,
bodies
are
most
influential
enhancing
performance.
For
factors,
wind
speed
direction
emerged
critical
components
maximizing
benefits.
Research
also
showed
can
affect
by
influencing
airflow
patterns
shading.
Understanding
these
dynamics
is
crucial
worldwide
they
strive
design
address
specific
environmental
climatic
challenges.
this
offer
guidance
landscape
architects
planners,
enabling
them
deliver
enhanced
benefits,
especially
when
face
rising
temperatures
an
increasing
number
heatwaves.
Language: Английский
Spatiotemporal Characterization of the Three-Dimensional Morphology of Urban Buildings Based on Moran’s I
Tao Shen,
No information about this author
Wenshiqi Zhou,
No information about this author
Shuai Yuan
No information about this author
et al.
Sustainability,
Journal Year:
2024,
Volume and Issue:
16(15), P. 6540 - 6540
Published: July 31, 2024
The
three-dimensional
morphological
analysis
of
urban
buildings
constitutes
a
pivotal
component
planning
and
sustainable
development.
Nevertheless,
the
majority
current
research
is
two-dimensional
in
nature,
which
constrains
comprehensive
understanding
spatial–temporal
evolution.
existing
body
studies
frequently
fails
to
consider
temporal
dimension
architectural
change
lacks
detailed
examination
micro
areas
such
as
communities
streets.
In
order
accurately
identify
patterns
evolution
morphology,
this
study
focuses
on
Yau
Tsim
Mong
District
Hong
Kong,
utilizing
data.
By
innovatively
integrating
factors,
constructing
weight
matrix,
applying
Moran’s
I,
conducts
an
in-depth
quantitative
Coverage,
Staggeredness,
Duty
Cycle
at
community
scale,
neighborhood
scale.
From
2014
2023,
global
I
key
morphology
indicators
has
exhibited
marked
increase,
underscoring
close
interrelationship
significant
optimization
between
overall
findings
illustrate
that
architecture
undergoing
process
agglomeration
high
homogeneity,
with
strategic
shifts
emphasizing
efficient
spatial
utilization
refined
design.
scale
particular
importance,
its
independent
complete
structure
effectively
captures
local
dynamics,
revealing
high-value
low-value
dispersion
characteristics.
This
suggests
are
being
constructed
more
compact
manner
level,
reflects
precision
efficiency
rationality
planning.
These
provide
valuable
references
for
development
governance
cities.
They
enhance
capabilities
promote
strategies,
ensuring
steady
progress
path
efficiency,
harmony,
sustainability.
Language: Английский
Extracting Meso- and Microscale Patterns of Urban Morphology Evolution: Evidence from Binhai New Area of Tianjin, China
Xiaojin Huang,
No information about this author
Robert T. Cheng,
No information about this author
Jun Wu
No information about this author
et al.
Land,
Journal Year:
2024,
Volume and Issue:
13(11), P. 1735 - 1735
Published: Oct. 23, 2024
Understanding
and
recognizing
urban
morphology
evolution
is
a
crucial
issue
in
planning,
with
extensive
research
dedicated
to
detecting
the
extent
of
expansion.
However,
as
development
patterns
shift
from
incremental
expansion
stock
optimization,
related
studies
on
meso-
microscale
face
limitations
such
insufficient
spatiotemporal
data
granularity,
poor
generalizability,
inability
extract
internal
patterns.
This
study
employs
deep
learning
meso-/microscopic
form
indicators
develop
generic
framework
for
extracting
describing
meso-/microscale
morphology.
The
includes
three
steps:
constructing
specific
datasets,
semantic
segmentation
form,
mapping
using
Tile-based
Urban
Change
(TUC)
classification
system.
We
applied
this
conduct
combined
quantitative
qualitative
analysis
Binhai
New
Area
2009
2022,
detailed
visualizations
at
each
time
point.
identified
that
different
locations
area
exhibited
seven
distinct
patterns:
edge
areal
expansion,
preservation
developmental
potential,
industrial
land
pattern,
rapid
comprehensive
demolition
construction
linear
mixed
evolution,
stable
evolution.
results
indicate
phase,
high-density
areas
exhibit
multidimensional
characteristics
by
region,
period,
function.
Our
work
demonstrates
potential
grid
providing
scalable,
cost-effective,
quantitative,
portable
approach
historical
understanding.
Language: Английский
Diurnal Variation Reveals the Characteristics and Influencing Factors of Cool Island Effects in Urban Blue-Green Spaces
Ruixue Kong,
No information about this author
Yaqi Chu,
No information about this author
Yuanman Hu
No information about this author
et al.
Forests,
Journal Year:
2024,
Volume and Issue:
15(12), P. 2115 - 2115
Published: Nov. 29, 2024
Urban
blue-green
space
cooling
island
effect
(BGCI)
is
effective
in
improving
the
thermal
comfort
of
residents.
However,
there
little
knowledge
regarding
diurnal
variation
BGCIs
and
influencing
factors.
Therefore,
we
selected
Beijing
as
study
area
used
ECOSTRESS
LST
data
inflection–maximum
perspective
method
to
explore
BGCIs.
Additionally,
investigated
variations
relative
influence
characteristics
itself,
well
surrounding
2D
3D
landscape
metrics
using
boosted
regression
tree
model.
The
results
indicated
that
displayed
distinct
patterns.
progressively
increased
from
sunrise
midday,
decreased
thereafter
sunset,
reached
its
peak
around
diminished
a
relatively
low
level
constant
intensity
at
night.
water
bodies
exhibited
significantly
higher
compared
vegetation
during
day,
particularly
with
difference
mean
(CI)
1.06
°C
distance
(CD)
63.27
m,
while
differences
were
minimal
night
CI
0.02
CD
9.64
m.
features
had
more
significant
impact
on
midday
(CI:
32.30%
13.86%
night),
influenced
26.40%
35.81%
night).
greater
(52.87%
10.46%
playing
important
role
(15.56%
38.28%
height,
shape
index
vegetation,
building
coverage
ratio
opposite
trends
Optimizing
spaces
cost-effective
than
themselves
for
nighttime
comfort,
especially
urban
landscapes.
These
findings
emphasize
imperative
essentiality
exploring
BGCIs,
providing
valuable
information
mitigating
UHI
effects.
Language: Английский
Planting design for urban overpasses based on atmospheric particulate matter retention in Changsha
Linya Kong,
No information about this author
Xinhao Huang,
No information about this author
Fan Zhu
No information about this author
et al.
International Journal of Phytoremediation,
Journal Year:
2024,
Volume and Issue:
unknown, P. 1 - 13
Published: Dec. 11, 2024
Atmospheric
particulate
matter
(PM)
emission
from
overpasses
is
serious.
To
optimize
the
solution
of
planting
design
in
overpass,
it
essential
to
understand
plant's
ability
capture
PM.
In
this
study,
leaf
samples
were
collected
11
plant
species
commonly
existing
five
overpass
greening
areas
Changsha,
China.
The
PM
retention
per
unit
area
(
Language: Английский