PLoS ONE,
Journal Year:
2024,
Volume and Issue:
19(12), P. e0311546 - e0311546
Published: Dec. 5, 2024
The
vitality
of
urban
parks
reflects
the
intensity
green
space
utilization,
gauging
visitors’
overall
perception
parks,
facilitating
integrated
park
management,
and
ensuring
parks’
sustainable
development.
But,
park’s
spatial
characteristics
change
over
time,
factors
influencing
differences
in
have
not
been
conclusively
established.
Therefore,
This
study
employs
Baidu
heat
map
data
to
examine
temporal
distribution
patterns
visitor
on
holidays
weekdays
located
core
region
Fuzhou
City.
Meanwhile,
this
will
be
achieved
by
utilizing
a
geo-detector
MGWR
model
analyze
variations
impact
coefficients.
conclusions
are
as
follows:
(1)Park
varied
dramatically
between
different
periods,
with
being
higher
than
weekdays.
peaks
all
concentrated
at
10:00
16:00.
had
pattern
many
peaks,
wave-like
fluctuation.
On
weekdays,
there
was
notable
M-shaped
feature.
(2)The
has
"bimodal"
two
distinct
cores
numerous
fragmented
fragments.
There
liveliness
characterized
"long-tail
effect."
In
other
words,
just
few
high
vitality,
while
low
vitality.
(3)The
peripheral
location
features
(G2)
transportation
infrastructure
(G3)are
main
affecting
vitality;
X11
amenities
highest
coefficient
(0.501
0.491
holidays).
within
Park
attributes
(G1)
social
media
level
(G4)
showed
two-way
interaction
strength
increase.
(4)The
coefficients
influence
heterogeneity
vacation
exhibit
significant
variation.
positive
indicators
that
decreases
from
northwest
southeast,
old
city
district
having
new
district.
negative
display
reverse
pattern.
offers
scientific
methodologies
recommendations
for
improving
designing
landscapes.
Land,
Journal Year:
2025,
Volume and Issue:
14(2), P. 220 - 220
Published: Jan. 22, 2025
As
an
important
type
of
linear
cultural
heritage
and
a
waterfront
landscape
that
integrates
both
artificial
natural
elements,
canals
provide
the
public
with
multidimensional
perceptual
experience
encompassing
aesthetics,
culture,
nature.
There
remains
lack
refined,
micro-level
studies
on
canal
landscapes
from
perspective
visual
preference.
This
study
focuses
typical
segment
Grand
Canal
in
China,
specifically
ancient
section
Yangzhou.
We
employed
SegFormer
image
semantic
segmentation
techniques
to
interpret
features
150
panoramic
images,
quantitatively
identifying
environmental
characteristics
canal.
Four
dimensions
were
constructed:
aesthetic
preference,
hydrophilic
Through
questionnaire
survey
various
statistical
analyses,
we
revealed
relationships
between
preferences
for
characteristics.
The
main
findings
include
following:
(1)
Aesthetic
preference
is
positively
correlated
cultural,
natural,
preferences,
while
shows
negative
correlation
preferences.
(2)
influenced
by
combination
blue-green
elements
factors.
Natural
primarily
affected
increased
vegetation
visibility,
associated
higher
proportion
facilities
high-quality
pavements,
linked
larger
water
surface
areas,
fewer
barriers,
better
quality.
(3)
are
spatial
differences
across
different
urban
old
city
exhibiting
aesthetic,
than
new
suburban
areas.
Finally,
this
proposes
strategies
optimising
enhancing
quality
canals,
aiming
sustainable
practical
guidance
future
planning
management
these
sites.
Smart Cities,
Journal Year:
2024,
Volume and Issue:
7(4), P. 2110 - 2130
Published: Aug. 1, 2024
This
research
addresses
the
urgent
challenges
posed
by
rapid
urbanization
and
climate
change
through
an
integrated
interdisciplinary
approach
combining
advanced
technologies
with
rigorous
scientific
exploration.
The
comprehensive
analysis
focused
on
Wuhan,
China,
spanning
decades
of
meteorological
land-use
data
to
trace
extreme
trajectories
reveal
intricate
temporal
spatial
patterns.
Employing
innovative
360°
radial
Fibonacci
geometric
growth
framework,
study
facilitated
a
meticulous
dissection
urban
morphology
at
granular
scales,
establishing
model
that
combined
fixed
mobile
observational
techniques
uncover
climatic
shifts
transformations.
Geographic
information
systems
computational
fluid
dynamics
were
pivotal
tools
used
explore
interplay
between
structures
their
environments.
These
analyses
elucidated
nuanced
impact
diverse
morphosectors
local
conditions.
Furthermore,
genetic
algorithms
harnessed
distill
meaningful
relationships
from
extensive
collected,
optimizing
arrangements
enhance
resilience
sustainability.
pioneering
not
only
illuminates
complex
ecosystems
but
also
offers
transformative
insights
for
designing
smarter,
more
adaptable
cities.
findings
underscore
critical
role
green
spaces
in
mitigating
heat
island
effects.
highlights
imperative
sustainable
planning
address
multifaceted
21st
century,
promoting
long-term
environmental
sustainability
health,
particularly
context
tomorrow’s
climate-adaptive
smart
Land,
Journal Year:
2025,
Volume and Issue:
14(3), P. 455 - 455
Published: Feb. 22, 2025
Urban
parks
are
vital
public
spaces
that
provide
cultural
ecosystem
services
(CESs)
enhance
the
well-being
of
city
dwellers.
As
demand
for
CESs
has
greatly
increased,
imbalance
between
CES
supply
and
become
prominent.
Accurately
identifying
whether
meets
supports
urban
park
planning
management.
However,
supply–demand
gap
lies
not
only
in
quantitative
resource
deficits,
but
also
spatial
mismatch
demand.
At
present,
scientific
quantification
methods
comprehensively
consider
both
relationships
remain
inadequate.
To
fill
this
gap,
we
propose
an
integrated
framework
combines
analysis
to
identify
CESs,
using
Shanghai
as
study
area.
The
consists
three
major
steps:
(1)
mapping
parks;
(2)
relationship
by
combining
through
bivariate
with
statistics;
(3)
categorizing
into
four
scenarios
based
on
quantity
balance
matching,
corresponding
proposals.
results
show
136
sub-districts
belong
space
matching
type,
while
79
belonging
imbalanced
quantities
including
41
mismatching
type.
Notably,
15
face
a
situation
where
is
less
than
Our
findings
solid
basis
key
areas
conflict
prioritizing
targeted
interventions.
This
approach
improves
efficiency
provision,
addresses
growing
high-quality
rapidly
urbanizing
regions.
Research Square (Research Square),
Journal Year:
2025,
Volume and Issue:
unknown
Published: May 5, 2025
Abstract
Green
spaces
are
vital
for
the
urban
ecosystem,
providing
residents
with
diverse
ecosystem
services.
However,
heterogeneity
in
spatial
locations
and
landscape
configurations,
caused
variousness
of
services
quality
green
spaces.
Previous
studies
mainly
examined
equity
based
on
quantitative
factors
like
distance
scale.
service
space
remains
unclear.
We
studied
226
park
spaces(UPGS)
Hangzhou
constructed
Ecosystem
Service
Quality
Index
(ESQI)
to
evaluate
regional
analyze
driving
by
Gini
coefficient
Lorenz
curve.
Results
showed
that
(1)
77.43%
parks
had
moderately
low
ESQIs
(0.100–0.230),
spatially
heterogeneous
distribution.
(2)
There
was
a
high
degree
unfairness
regarding
area,
number
points
interest
facilities,
proportion
water
bodies,
effective
grid
patches,
total
edge
length.
(3)
Heterogeneity
distribution
internal
patterns
UPGSs
significant
quality.
(4)
The
main
influencing
consisted
natural
factors(green
cover
impervious
cove)
location
factors(Park
Cooling
Index).
characteristics
cannot
reflect
level
Urban
ecological
construction
should
not
simply
focus
increasing
quantity,
rather
it
is
more
crucial
improve
UPGS.
PLoS ONE,
Journal Year:
2025,
Volume and Issue:
20(5), P. e0323566 - e0323566
Published: May 15, 2025
Natural
landscapes
are
crucial
resources
for
enhancing
visitor
experiences
in
ecotourism
destinations.
Previous
research
indicates
that
high
temperatures
may
impact
tourists’
perception
of
and
emotions.
Still,
the
potential
value
natural
landscape
regulating
emotions
under
high-temperature
conditions
remains
unclear.
In
this
study,
we
employed
machine
learning
models
such
as
LSTM-CNN,
Hrnet,
XGBoost,
combined
with
hotspot
analysis
SHAP
methods,
to
compare
reveal
impacts
elements
on
different
temperature
conditions.
The
results
indicate:
(1)
Emotion
prediction
spatial
a
significant
increase
proportion
negative
conditions,
reaching
30.1%,
emotion
hotspots
concentrated
downtown
area,
whereas,
non-high
accounted
14.1%,
more
uniform
distribution.
(2)
Under
four
most
influential
factors
were
Color
complexity
(0.73),
Visual
entropy
(0.71),
Greenness
(0.68),
Aquatic
rate
(0.6).
contrast,
(0.6),
Openness
(0.56),
(0.55),
(0.55).
(3)
Compared
enhanced
positive
effects
environmental
emotions,
(0.94),
(0.84),
Enclosure
(0.71)
showing
stable
impacts.
Additionally,
aquatic
had
emotional
regulation
effect
(contribution
1.05),
effectively
improving
overall
experience.
This
study
provides
data
foundation
optimizing
destinations,
integrating
advantages
various
proposing
framework
collection,
comparison,
evaluation
It
thoroughly
explores
enhance
sustainable
planning
recommendations
conservation
ecosystems
ecotourism.
ISPRS International Journal of Geo-Information,
Journal Year:
2024,
Volume and Issue:
13(7), P. 262 - 262
Published: July 22, 2024
The
aging
population
has
brought
increased
attention
to
the
urgent
need
address
social
isolation
and
health
risks
among
elderly.
While
previous
research
established
positive
effects
of
parks
in
promoting
interaction
older
adults,
further
investigation
is
required
understand
complex
relationships
between
perceptions
park
environment,
interaction,
elderly
health.
In
this
study,
structural
equation
modeling
(SEM)
was
employed
examine
these
relationships,
using
nine
Wuhan
as
a
case
study.
findings
indicate
that
serves
complete
mediator
environment
(path
coefficients:
on
=
0.45,
0.46,
indirect
effect
0.182).
Furthermore,
results
multi-group
SEM
analysis
revealed
mediating
moderated
by
pattern
(the
difference
test:
friend
companionship
group
vs.
family
(Z
1.965
>
1.96)).
Notably,
had
significantly
stronger
impact
adults
compared
companionship.
These
contribute
our
understanding
mechanisms
through
which
urban
support
physical
mental
well-being
provide
scientific
foundation
for
optimizing
environments.