Mimarlık Bilimleri ve Uygulamaları Dergisi (MBUD),
Год журнала:
2024,
Номер
9(2), С. 719 - 736
Опубликована: Окт. 11, 2024
Landscaping
works
are
needed
to
eliminate
the
monotony
of
concretion
caused
by
bridge
intersections,
which
increases
with
traffic
density
in
cities.
In
this
study,
where
Erzurum
city
İpekyolu
Intersection
is
main
material,
3
different
scenarios
have
been
created
increase
visual
quality
intersection
landscape.
A
total
4
groups
consisting
current
situation
and
Lumion
Program
were
evaluated.
The
survey
prepared
for
analysis
was
applied
80
undergraduate
graduate
students
at
Atatürk
University
Faculty
Architecture.
analysis,
design
elements
considered
as
evaluation
criteria.
Scenario
3,
received
highest
score,
color
harmony
effective
side
wall
visuality.
As
a
result
research,
it
seen
that
had
higher
than
situations
without
design.
PLoS ONE,
Год журнала:
2025,
Номер
20(1), С. e0317585 - e0317585
Опубликована: Янв. 14, 2025
Urban
waterfront
areas,
which
are
essential
natural
resources
and
highly
perceived
public
areas
in
cities,
play
a
crucial
role
enhancing
urban
environment.
This
study
integrates
deep
learning
with
human
perception
data
sourced
from
street
view
images
to
the
relationship
between
visual
landscape
features
of
employing
linear
regression
random
forest
models
predict
along
coastal
roads.
Based
on
aesthetic
distinctiveness
perception,
roads
Xiamen
were
classified
into
four
types
different
emphasis
priorities
for
improvement.
The
results
showed
that:
1)
degree
openness
had
greatest
influence
while
high
green
index
decreases
perception;
2)
model
can
effectively
an
accuracy
rate
87%
77%;
3)
proportion
low
road
sections
potential
improvement
is
60.6%,
among
10.5%.
These
findings
offer
evidence
regarding
roads,
provide
targeted
recommendations
environment
landscapes.
Frontiers of Architectural Research,
Год журнала:
2024,
Номер
13(6), С. 1327 - 1341
Опубликована: Июнь 20, 2024
This
study
aimed
to
investigate
the
impact
of
specific
landscape
elements
on
pedestrians'
emotional
experiences
during
walking.
During
study,
footages
were
recorded
by
participants
while
walking
obtain
real-time
visual
element
data,
including
greenery,
building
and
road
visibility.
And
electroencephalogram
(EEG)
indicators
β/α,
(α+θ)/β,
θ/β
θ/α
ratio
collected
represent
levels
arousal,
fatigue,
attention
relaxation.
Our
findings
suggested
strong
correlations
between
with
both
greenery
Conversely,
other
primarily
influenced
Regarding
combined
elements,
most
positive
emotions
observed
when
green
visibility
exceeded
51%.
However,
peak
alertness
was
achieved
5.2%
31%.
The
lowest
fatigue
highest
level
under
less
than
5.2%,
relaxation
occurred
10%.
In
terms
influence
time,
entire
process
could
be
delineated
five
8
min
marks,
classified
into
novelty,
adaptation
sustained
phase
based
patterns
changes
in
participants.
Consequently,
their
combinations,
duration
play
regulatory
roles
experiences.
Applied Sciences,
Год журнала:
2025,
Номер
15(9), С. 4905 - 4905
Опубликована: Апрель 28, 2025
Assessing
the
visual
quality
of
rural
landscapes
is
pivotal
for
quantifying
ecological
services
and
preserving
cultural
heritage;
however,
conventional
indicators
neglect
emotional
cognitive
dimensions.
To
address
this
gap,
present
study
proposes
a
novel
assessment
method
that
integrates
multimodal
sentiment
classification
models
to
strengthen
sustainability
metrics.
Four
landscape
types
were
selected
from
three
representative
villages
in
Dalian
City,
China,
physiological
signals
(EEG,
EOG)
subjective
evaluations
(Beauty
Assessment
SAM
Scales)
students
teachers
recorded.
Binary,
ternary,
five-category
emotion
then
developed.
Results
indicate
binary
ternary
achieve
superior
accuracy
valence
arousal,
whereas
model
performs
least
effectively.
Furthermore,
an
ensemble
learning
approach
outperforms
individual
classifiers
both
tasks,
yielding
16.54%
increase
mean
accuracy.
Integrating
objective
data
further
enhances
by
7.7%
compared
existing
studies,
confirming
value
multi-source
features.
These
findings
demonstrate
computing
framework
can
serve
as
robust
quantitative
tool
evaluating
promoting
their
sustainable
development.
