Land,
Год журнала:
2024,
Номер
13(11), С. 1953 - 1953
Опубликована: Ноя. 19, 2024
Visual
complexity
is
a
crucial
criterion
for
evaluating
the
quality
of
urban
environments
and
key
dimension
in
arousal
theory
visual
preference
theory.
Objectively
quantifying
holds
significant
importance
decision-making
support
planning.
This
study
proposes
quantification
model
based
on
vector
machine
(SVM),
incorporating
six
indicators,
to
establish
mapping
relationship
between
objective
image
features
subjective
perception.
can
efficiently
scientifically
predict
street
view
large
scale.
The
research
findings
include
following:
(1)
introduction
new
environment
complexity—hierarchical
complexity–
which
reflects
richness
elements
an
in-depth
semantic
understanding
images;
(2)
established
demonstrates
high
accuracy,
with
indicators
ranked
by
contribution
compression
ratio,
grayscale
contrast,
hierarchical
complexity,
fractal
dimension,
color
symmetry;
(3)
was
applied
analyze
Xiaobailou
Wudadao
Districts
Tianjin,
revealing
that
most
streets
moderate,
targeted
recommendations
were
proposed
different
levels
complexity.
Land,
Год журнала:
2025,
Номер
14(3), С. 610 - 610
Опубликована: Март 13, 2025
The
mental
health
of
university
students
has
received
much
attention
due
to
the
various
pressures
studies,
life,
and
employment.
Several
studies
have
confirmed
that
campus
public
spaces
contain
multiple
restorative
potentials.
Yet,
space
is
still
not
ready
meet
students’
new
need
for
percetions.
Renewal
practices
integrate
multi-issues
are
becoming
more
important,
further
clarification
measurement
methods
optimization
pathways
also
needed.
This
study
applied
semantic
segmentation
technique
deep
learning
model
extract
feature
indicators
outdoor
based
on
street
view
image
(SVI)
data.
subjective
evaluation
small-scale
SVIs
was
obtained
using
perceived
scale-11
(PRS-11)
questionnaire.
On
this
basis,
benefit
models
were
established,
including
explanatory
predictive
models.
used
Pearson’s
correlation
linear
regression
analysis
identify
key
affecting
benefits,
XGBoost
1.7.3
algorithm
predict
scores
scale.
accessibility
results
from
sDNA
then
overlayed
form
a
comprehensive
assessment
matrix
restoration
benefits
dimensions
“areas
with
potential”.
In
way,
three
types
spatial
(LRB-HA,
HRB-LA,
LRB-LA)
sequential
orders
temporal
(short-term,
medium-term,
long-term)
combined
propose
dual
control
accessibility.
provides
methodological
guidelines
empirical
data
regeneration
promotes
efficiency.
addition,
it
can
offer
positive
references
neighborhood-scale
urban
design
sustainable
development.
Abstract
Campus
trees
have
significant
potential
for
sequestering
carbon
in
urban
environments
and
improving
civic
life
quality;
however,
few
inventories
of
university
campus
been
constructed
worldwide
(excluding
North
America).
This
study
briefly
overviews
the
current
status,
challenges,
prospects
inventorying
provides
a
case
tree
inventory
assessment
through
student
participatory
program
South
Korea.
maps
from
25
universities
eight
countries
were
investigated.
A
usually
consists
various
data
on
species,
dbh,
biomass,
it
is
often
prepared
capstone
or
project
university.
review
identified
following
challenges:
(1)
Few
cases
reported
outside
America,
(2)
publications
sharing
are
limited,
(3)
participants'
experiences
not
evaluated.
The
mapping
was
performed
by
integrating
drone‐based
orthographic
images
field
censuses
(species,
diameter,
GPS
coordinates,
etc.).
total
2341
individual
belonging
to
73
species
surveyed
over
28.7
ha
green
spaces
campus,
thematic
created
online.
In
2021,
aboveground
storage
263.9
Mg
C,
increased
annually
5.62
C.
presents
first
attempt
evaluate
report
at
an
East
Asian
Additional
advancements
monitoring
techniques
practices
may
contribute
sustainability
campuses
local
communities.
Engineering Construction & Architectural Management,
Год журнала:
2025,
Номер
unknown
Опубликована: Фев. 6, 2025
Purpose
Understanding
the
restorative
potential
of
built
environments
is
essential
for
promoting
mental
well-being.
However,
existing
studies
often
rely
on
static
image-based
methods,
which
are
inherently
limited
in
capturing
temporal
and
spatial
dynamics
environmental
perception.
These
methods
frequently
introduce
biases,
such
as
selective
framing
abrupt
transitions,
failing
to
reflect
natural
viewing
behavior.
Addressing
these
limitations,
this
study
investigates
qualities
campus
using
dynamic
VR
stimuli
eye-tracking
technology.
By
providing
continuous
information,
offer
a
more
immersive
ecologically
valid
approach
understanding
how
specific
features
contribute
psychological
restoration.
Design/methodology/approach
This
technology
stimuli.
Campus
were
filmed
through
walking
sequences
paired
with
PRS
audio
prompts.
About
40
university
students
participated
experiment,
data
processed
computer
vision-based
semantic
segmentation
concept
relative
areas
interest,
followed
by
correlation
analysis
quality
scores.
Findings
The
results
revealed
that
elements
“sky,”
“tree,”
“waterscape”
“landscape
corridor”
significantly
positively
correlated
being-away
fascination
dimensions,
indicating
their
role
attention
supporting
recovery.
Conversely,
architectural
like
“architectural
“building
facade”
negatively
extent
dimension,
while
open
space”
correlated,
enhancing
perception
exploration.
Originality/value
findings
underscore
importance
spaces
also
revealing
complex
influence
features.
provides
valuable
insights
optimizing
design
support
students’
health
Sustainability,
Год журнала:
2024,
Номер
16(18), С. 7968 - 7968
Опубликована: Сен. 12, 2024
Greenways
are
important
natural
environment
places
in
cities,
which
have
a
great
restorative
effect
on
human
physiological
and
mental
health.
The
restoration
of
urban
greenways
the
physical
health
residents
is
affected
by
type
greenway
space.
In
order
to
reveal
effects
different
types
waterfront
spaces
body
explore
environmental
factors,
this
paper
firstly
used
expert
survey
method
construct
an
AHP
(analytic
hierarchy
process)
model,
yielded
three
criterion-level
indicators
eight
sub-indicators.
Second,
taking
Nanxun
Avenue
Greenway
Wenjiang
District,
Chengdu
City,
Sichuan
Province,
China,
as
example,
it
was
divided
into
spaces—waterfront
space,
underwood
lawn
space—on
basis
field
surveys.
A
total
30
subjects
participated
outdoor
experience
collected
their
psychological
data.
results
experiment
showed
that
all
had
health,
them
were
effective
lowering
blood
pressure
heart
rate,
well
eliminating
negative
emotions
increasing
positive
for
most
participants.
space
best
effect,
followed
main
factors
differed
among
each
spaces.
This
provides
insights
examples
exploring
benefits
greenways.
