Research on the cool island effect of green spaces in megacity cores: A case study of the main urban area of Xi'an, China
Kaili Zhang,
No information about this author
Qiqi Liu,
No information about this author
Bin Fang
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et al.
Sustainable Cities and Society,
Journal Year:
2025,
Volume and Issue:
unknown, P. 106255 - 106255
Published: Feb. 1, 2025
Language: Английский
Optimizing urban park cooling effects requires balancing morphological design and landscape structure
Scientific Reports,
Journal Year:
2025,
Volume and Issue:
15(1)
Published: May 2, 2025
Language: Английский
Providing support for urban planning through investigating the cooling influence of park in Northern China: A case study of Xi'an
Kai Xin,
No information about this author
Jingyuan Zhao,
No information about this author
Zhaokun Li
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et al.
Urban Climate,
Journal Year:
2024,
Volume and Issue:
58, P. 102221 - 102221
Published: Nov. 1, 2024
Language: Английский
Is shading a better way to cool down? Evaluation and comparison of the cooling capacity of blue-green spaces and urban shade
Yu Zou,
No information about this author
Jiao Chen,
No information about this author
Hua Zong
No information about this author
et al.
Ecological Indicators,
Journal Year:
2024,
Volume and Issue:
167, P. 112688 - 112688
Published: Oct. 1, 2024
Language: Английский
Understanding Urban Cooling of Blue–Green Infrastructure: A Review of Spatial Data and Sustainable Planning Optimization Methods for Mitigating Urban Heat Islands
Sustainability,
Journal Year:
2024,
Volume and Issue:
17(1), P. 142 - 142
Published: Dec. 27, 2024
Many
studies
in
the
literature
have
assessed
blue–green
infrastructure
(BGI)
characteristics
that
influence
its
cooling
potential
for
sustainable
urban
development.
Common
assessment
methods
include
satellite
remote
sensing,
numerical
simulations,
and
field
measurements,
each
defining
different
efficiency
indicators.
This
methodological
diversity
creates
uncertainties
optimizing
BGI
management.
To
address
this,
a
review
was
conducted
using
Google
Scholar,
Web
of
Science,
Scopus,
examining
how
cools
space,
which
spatial
data
are
most
effective,
differences
may
affect
results,
what
current
research
gaps
innovative
future
directions
are.
The
results
suggest
sensing
is
ideal
large-scale
comparisons,
simulations
local
development
scenarios,
measurements
assessing
conditions
closest
to
residents.
Maximum
intensity
averages
show
4
°C
from
3
2
simulations.
Differences
conclusions
arise
resolution,
model
scale,
delineation
method,
range
calculation.
key
object
size,
vegetation
fraction,
foliage
density,
connectivity.
Future
should
prioritize
integration
methods,
shape
complexity
effectiveness
assessment,
effects
morphology
on
evaluating
characteristics’
effectiveness,
explore
digital
twin
technology
management
optimization.
study
integrates
information
BGI’s
capabilities,
serving
as
useful
resource
both
practitioners
researchers
support
resilient
city
Language: Английский