Sustainability,
Journal Year:
2023,
Volume and Issue:
15(14), P. 11458 - 11458
Published: July 24, 2023
In
the
contemporary
world,
swift
advancement
of
urbanization,
pressing
need
for
environmental
conservation,
and
humanity’s
unyielding
quest
a
better
quality
life
have
jointly
underscored
escalating
importance
research
on
landscape
aesthetics
perceptual
experiences.
Researchers
often
evaluated
overall
scene’s
beauty
based
photos
taken
from
single
viewpoint.
However,
it
has
been
observed
that
different
viewpoints
same
scene
can
lead
to
varying
degrees
perception.
Some
positive
highlight
features
contribute
preferences,
while
negative
emphasize
aspects
may
evoke
discomfort
decrease
perceived
beauty.
Therefore,
crucial
question
arises:
which
viewpoint,
or
negative,
holds
more
influence
over
scene?
This
paper
aimed
address
this
by
utilizing
panoramic
map
technology
establish
perception
evaluation
model.
The
model
was
empirical
evidence
various
spatial
scenes
along
Yaozijian
Ancient
Road
in
Anhua
County,
encompassing
towns
villages.
study
analyzed
functional
relationship
between
factors,
viewpoints,
degree
scenic
It
found
(1)
is
difficult
reflect
(OSBS)
viewpoint
photo,
both
significant
effects
OSBS.
case
study,
effect
(PVSB)
OSBS
greater;
(2)
PVSB
had
major
with
high
visual
hierarchy
cloud
ratio
low
type
vegetation
proportion
man-made
objects;
(3)
(NVSB)
landscape.
results
reveal
factors
OSBS,
be
applied
planning
design
processes.
Buildings,
Journal Year:
2025,
Volume and Issue:
15(1), P. 127 - 127
Published: Jan. 3, 2025
Landscape,
as
an
important
component
of
environmental
quality,
is
increasingly
valued
by
scholars
for
its
visual
dimension.
Unlike
evaluating
landscape
quality
through
on-site
observation
or
using
digital
photos,
the
visualization
modeling
method
supported
unmanned
aerial
vehicle
(UAV)
photography,
geographic
information
System
(GIS),
and
PixScape
has
advantage
systematically
scanning
space.
The
data
acquisition
convenient
fast,
resolution
high,
providing
a
new
attempt
analysis.
In
order
to
explore
application
visibility
based
on
high-resolution
UAV
remote
sensing
images
in
evaluation,
this
study
takes
campus
example
uses
basic
source
analyze
differences
between
planar
tangent
provided
1.2
software
modeling.
Six
evaluation
factors,
including
Naturalness
(N),
Normalized
Shannon
Diversity
Index
(S),
Contagion
(CONTAG),
depth
(SD),
Depth
Line
(DL),
Skyline
(SL),
are
selected
evaluate
vision
four
viewpoints
analytic
hierarchy
process
(AHP)
method.
results
indicate
that
considers
impact
vertical
amplitude
distance
viewpoints,
which
more
line
with
real
perception
human
eyes.
addition,
objective
quantitative
metrics
can
reflect
landscapes
from
different
have
good
applicability
evaluation.
It
expected
research
enrich
system
provide
technical
references
it.
Sensors,
Journal Year:
2025,
Volume and Issue:
25(3), P. 748 - 748
Published: Jan. 26, 2025
Urban
green-blue
spaces
(UGBS)
are
increasingly
recognized
for
their
benefits
to
physical
and
mental
well-being.
However,
research
on
real-time
gender-specific
emotional
responses
UGBS
remains
limited.
To
address
this
gap,
a
dual-method
approach
combining
facial
expression
recognition
(FER)
self-reported
measures
investigate
gender
differences
in
evaluations
of
was
developed.
Using
static
images
from
Google
Street
View
as
stimuli,
self-reporting
experiment
involving
108
participants
provided
insights
into
subjective
experiences.
Subsequently,
FER
experiment,
utilizing
360-degree
video
captured
over
two
million
data
points,
validating
the
feasibility
advantages
emotion
monitoring.
The
findings
revealed
distinct
patterns:
women
experienced
stronger
pleasant
emotions
preferred
scenes
evoking
higher
arousal,
while
men
demonstrated
sharper
rated
with
peak
valence
more
favorably.
Grass
elicited
relaxation
delight
arousal
men,
whereas
blue
induced
calmness
across
genders,
reporting
greater
water
content
increased.
study
underscores
potential
technology
assessing
responses,
providing
actionable
inclusive
urban
planning.
By
integrating
advanced
tools
participatory
design
approaches,
planners
can
develop
strategies
that
enhance
well-being
create
livable
cities
support
diverse
user
needs.
Heritage Science,
Journal Year:
2024,
Volume and Issue:
12(1)
Published: Feb. 2, 2024
Abstract
The
visual
composition
and
human
perception
are
found
to
relate
the
reuse
tourism
of
heritage
railways.
Previous
studies
have
used
either
environmental
audits
on-site
interviews
that
limitations
in
terms
cost,
time,
measurement
scale,
or
virtual
base
on
two-dimension
images
but
with
gaps
interactivity,
immersion
field
view.
This
study
developed
an
“objective
+
subjective”
evaluation
framework
integrating
Computer
Vision
(CV)
Immersive
Virtual
Reality
(IVR)
assess
quality
industrial
sites
along
Yunnan-Vietnam
Railway
(Yunnan
Section).
stepwise
multiple
linear
regression
models
were
carried
out
investigate
relationship
between
objective
subjective
perception.
results
showed
16
landscape
elements
successfully
segmented.
According
score
bands,
120
classified
as
39
high-score
sites,
66
medium-score
15
low-score
sites.
In
general,
although
sky
hard
ground
accounted
for
a
higher
proportion,
they
had
little
effect
sum
scores,
while
vegetation,
water,
buildings
played
significant
role
quality.
can
help
researchers,
planners,
government
departments
clarify
scientifically
specify
bottom-up
planning
management
solutions
railway
Moreover,
simplicity,
accuracy,
effectiveness
this
make
it
suitable
large-scale
other
Land,
Journal Year:
2025,
Volume and Issue:
14(4), P. 786 - 786
Published: April 6, 2025
Thermal
comfort
in
urban
commercial
spaces
significantly
impacts
both
business
performance
and
public
well-being.
Traditional
evaluation
methods
relying
on
field
surveys
expert
assessments
are
often
time-consuming
labor-intensive.
This
study
proposes
a
novel
vision–language
model
(VLM)-based
agent
system
for
thermal
assessment
spaces,
simulating
eight
distinct
heat-sensitive
roles
with
varied
demographic
backgrounds
through
prompt
engineering
using
ChatGPT-4o.
Taking
Harbin
Central
Street,
China
as
case
study,
we
first
validated
accuracy
ASHRAE
scale
evaluations
of
30%
samples
(167
images)
by
50
experts,
then
conducted
simulations
followed
spatial
interpretability
analyses.
Key
findings
include
(1)
significant
correlation
between
VLM
(r
=
0.815,
p
<
0.001),
confirming
method
feasibility;
(2)
notable
heterogeneity
across
agents,
demonstrating
the
VLMs’
capacity
to
capture
perceptual
differences
among
social
groups;
(3)
analysis
revealing
higher
eastern
regions
compared
western
central
areas
despite
inter-role
variations,
consistency
agents;
(4)
shade
vegetation
being
identified
primary
influencing
factors
that
contribute
agent’s
decision
making.
research
validates
VLM-based
agents’
effectiveness
evaluation,
showcasing
their
dual
capability
replicating
traditional
while
capturing
group
differences.
The
proposed
approach
establishes
paradigm
efficient,
comprehensive,
multi-perspective
environments.
Scientific Reports,
Journal Year:
2025,
Volume and Issue:
15(1)
Published: May 8, 2025
Nowadays,
more
and
people
choose
to
go
the
traditional
villages
with
beautiful
scenery
relaxing
atmosphere
relax
relieve
stress
due
unique
cultural
background
environmental
of
villages,
which
well
met
public's
aesthetic
value
landscape
environment.
Previous
research
has
primarily
focuses
on
villages'
history,
background,
rural
land
planning,
ancient
architecture
other
directions.
However,
relatively
few
studies
have
explored
public
perception
village
landscape.
Existing
are
usually
limited
a
single-field
study
or
laboratory
study,
medium
used
show
remain
simple.
Therefore,
this
investigates
perceptions
space
using
an
experimental
approach.
It
examines
how
subjects
perceive
landscapes
two-dimensional
(2D)
displays,
three-dimensional
(3D)
VR
five
media
representing
landscapes:
real
scenes,
photographs,
videos,
2D
panoramas,
3D
panoramas.
The
advantages,
limitations,
feasibilities
various
combinations
representations
analyzed
determine
optimal
methods
for
evaluation.
results
demonstrate
that
combination
significantly
influences
evaluations
by
affecting
subjects'
perceptions.
degree
is
highly
significant
mediating
factor.
displays
720°
panoramas
provides
best
agreement
between
laboratory-based
findings
real-world
environments,
regardless
type.
This
paper
summarizes
data
under
media,
compares
analyzes
results,
aim
provide
most
suitable
reference
scheme
future
in
related
fields.
Ecological Indicators,
Journal Year:
2024,
Volume and Issue:
166, P. 112520 - 112520
Published: Aug. 28, 2024
The
park
environment
is
crucial
for
promoting
physical
activity
(PA).
While
numerous
studies
show
that
environments
influence
PA
behavior,
inconsistencies
remain,
likely
due
to
varing
research
methods
and
parks
types.
This
study
employs
a
fixed
spatial
grid
method
systematically
sample
four
representative
in
Tianjin,
China.
High-precision
orthophoto
map
(DOM)
data
from
drones
provided
detailed
environmental
attributes
(like
tree
canopy
area,
lawn
paved
area)
characteristics
(number
of
participants,
intensity,
diversity).
results
show:
1)
Cluster
analysis
grouped
1839
grids
into
12
attribute
integrations,
each
correlating
with
different
characteristics.
"Tree-lined
jogging
corridors"
"Large
sports
field
areas"
exhibit
the
highest
while
"Entrance
plazas",
"Central
plazas,"
"Open
spaces"
have
number
participants
diversity.
2)
Correlation
shows
various
attributes,
including
Lawn
Area,
Paved
are
significantly
correlated
3)Random
Forest
indicates
key
area
diversity,
specialized
facilities
intensity.
These
findings
support
urban
green
space
planning
highlight
importance
better
public
health.