Residential greenspace exposure, particularly green window-views, is associated with improved sleep quality among older adults: Evidence from a high-density city
Building and Environment,
Год журнала:
2024,
Номер
253, С. 111315 - 111315
Опубликована: Фев. 16, 2024
Язык: Английский
Beyond just green: Explaining and predicting restorative potential of urban landscapes using panorama-based metrics
Landscape and Urban Planning,
Год журнала:
2024,
Номер
247, С. 105044 - 105044
Опубликована: Март 20, 2024
Язык: Английский
Urban Agriculture: A Strategic Pathway to Building Resilience and Ensuring Sustainable Food Security in Cities
Farming System,
Год журнала:
2025,
Номер
unknown, С. 100150 - 100150
Опубликована: Март 1, 2025
Язык: Английский
The relationships between 2D and 3D green index altered by spatial attributes at high spatial resolution
Urban forestry & urban greening,
Год журнала:
2024,
Номер
101, С. 128540 - 128540
Опубликована: Окт. 9, 2024
Язык: Английский
Investigating the cooling effect of urban lakes from the perspective of their characteristics and surrounding landscapes: A case study of 82 urban lakes in China
The Science of The Total Environment,
Год журнала:
2025,
Номер
969, С. 178925 - 178925
Опубликована: Фев. 27, 2025
Язык: Английский
How does campus-scape influence university students' restorative experiences: Evidences from simultaneously collected physiological and psychological data
ZHANG Jingyuan,
LIU Sai,
LIU Kun
и другие.
Urban forestry & urban greening,
Год журнала:
2025,
Номер
unknown, С. 128779 - 128779
Опубликована: Март 1, 2025
Язык: Английский
The Impact of Changes in Green Space Structures on Thermal Mitigation and Costs under a Constant Green Volume
Forests,
Год журнала:
2024,
Номер
15(9), С. 1525 - 1525
Опубликована: Авг. 29, 2024
Green
space
improves
outdoor
thermal
comfort
and
promotes
the
residents’
physical
mental
health.
Currently,
many
cities
are
using
green
volume
indicators
to
evaluate
quality
of
residential
help
form
latest
evaluation
standards.
However,
from
perspective
plant
volume,
impact
structures
on
mitigation
has
not
been
emphasized.
Furthermore,
cost
will
change
with
structures.
Therefore,
we
changes
in
costs
aim
find
suitable
allocations
which
balance
savings.
This
study
analyzed
regional
climate
Then,
discussed
relationship
between
different
The
analytical
results
indicated
that
as
trees
increases,
also
increasing.
Where
exceeds
70%,
no
“extreme
heat
stress”
moments
occur
for
whole
day.
When
increases
20%
60%,
is
3.62
°C.
only
1.74
°C
when
60%
100%,
less
than
half
former,
numerically.
suggests
spaces
should
be
controlled
at
60%–70%
corresponding
shrubs
30%–40%.
rationally
balances
space,
directly
guide
planning
real
situations.
Язык: Английский
Prioritizing 30% community tree volume ratio: Effects of community, street, and park greenspace exposure metrics on predicting older adults’ mental health
Building and Environment,
Год журнала:
2024,
Номер
unknown, С. 112499 - 112499
Опубликована: Дек. 1, 2024
Язык: Английский
Applying 3D spatial metrics for landscape planning: Creating and measuring landscape scenarios by a point cloud-based approach
Ecological Informatics,
Год журнала:
2023,
Номер
79, С. 102436 - 102436
Опубликована: Дек. 24, 2023
The
current
planning
and
design
process
predominantly
relies
on
experts'
experiences
or
preferences,
which
is
beneficial
straightforward
but
can
be
subjective
time-consuming.
Although
there
are
some
quantitative
assessment
tools
available
to
aid
decision-makers
in
understanding
the
perceived
quality
of
landscape
scenarios,
how
integrate
them
into
thinking
improve
challenging.
This
study
presents
a
3D
digital
model
integrating
representation
visual
urban
landscapes'
restorative
potential.
consists
generating
scenarios
environment,
converting
point
clouds
voxelising
them,
quantitatively
assessing
potential,
interactively
modifying
designs.
To
demonstrate
feasibility
effectiveness
model,
we
have
applied
it
potential
park
Singapore.
results
show
that
provides
clear
identifies
specific
areas
needing
improvement.
significance
this
lies
an
innovative
approach
scenario,
ultimately
enhancing
overall
landscapes
during
process.
Язык: Английский
3D Data Processing and Entropy Reduction for Reconstruction from Low-Resolution Spatial Coordinate Clouds in a Technical Vision System
Entropy,
Год журнала:
2024,
Номер
26(8), С. 646 - 646
Опубликована: Июль 30, 2024
This
paper
proposes
an
advancement
in
the
application
of
a
Technical
Vision
System
(TVS),
which
integrates
laser
scanning
mechanism
with
single
light
sensor
to
measure
3D
spatial
coordinates.
In
this
application,
system
is
used
scan
and
digitalize
objects
using
rotating
table
explore
potential
for
at
reduced
resolutions.
The
experiments
undertaken
searched
optimal
windows
statistical
data
filtering
techniques
regression
models
find
method
generate
that
was
still
recognizable
least
amount
points,
balancing
number
points
scanned
time,
while
same
time
reducing
effects
caused
by
particularities
TVS,
such
as
noise
entropy
form
natural
distortion
resulting
scans.
evaluation
experimentation
results
uses
point
registration
methods,
joining
multiple
faces
from
original
volume
TVS
aligning
it
ground
truth
model
clouds,
are
based
on
commercial
camera
verify
reconstructed
retains
substantial
detail
object.
research
finds
possible
reconstruct
sufficiently
detailed
obtained
contain
coarsely
or
scans
initially
lack
high
definition
too
noisy.
Язык: Английский