Measurement and influencing factors of urban waterfront street vitality from the perspectives of behavior and perception
Environmental Research Communications,
Год журнала:
2025,
Номер
7(1), С. 015041 - 015041
Опубликована: Янв. 1, 2025
Abstract
Serving
as
the
direct
interface
for
interaction
between
waterfront
and
urban
dwellers,
street
space
environment
significantly
influences
people’s
living
experiences
social
interactions.
Despite
progress
in
renovation
development
of
streets,
these
areas
remain
underutilized
lack
vitality
expected
such
locations.
Using
Hunhe
Waterfront
Streets
Shenyang
a
case
study,
this
research
employed
Baidu
heatmap
data
Semantic
Differential
method
to
assess
both
behavioral
perceived
area.
Subsequently,
study
explored
main
factors
influencing
streets
from
three
aspects:
accessibility,
facility
configuration
environmental
construction.
It
also
examined
key
features
that
affect
under
visual
perception.
Additionally,
performed
coupling
analysis
explore
relationship
within
streets.
The
results
indicated
density
infrastructure
commercial
facilities,
well
continuity
pedestrian
paths,
were
vitality.
degree
motorization,
green
index
building
enclosure
ratio
affecting
Moreover,
coordination
was
relatively
poor,
leaving
considerable
room
improvement.
By
integrating
behavior
their
perceptions
environment,
its
intrinsic
connection
with
features.
This
work
aids
developing
more
effective
user-centric
design
strategies
offering
practical
guidance
revitalization
redevelopment.
Язык: Английский
Optimizing Semantic Segmentation of Street Views with SP-UNet for Comprehensive Street Quality Evaluation
Sustainability,
Год журнала:
2025,
Номер
17(3), С. 1209 - 1209
Опубликована: Фев. 2, 2025
Traditional
street
quality
evaluations
are
often
subjective
and
limited
in
scale,
failing
to
capture
the
nuanced
dynamic
aspects
of
urban
environments.
This
paper
presents
a
novel
data-driven
approach
for
objective
comprehensive
evaluation
using
view
images
semantic
segmentation.
The
proposed
SP-UNet
(Spatial
Pyramid
UNet)
is
multi-scale
segmentation
model
that
leverages
power
VGG16,
SimSPPF
(Simultaneous
Spatial
Channel
Pooling),
MLCA
(Multi-Level
Context
Attention)
attention
mechanisms.
integration
effectively
enhances
feature
extraction,
context
aggregation,
detail
preservation.
model’s
average
intersection
over
union,
Mean
Pixel
Accuracy,
overall
accuracy
achieving
improvements
5.83%,
6.52%,
2.37%
mIoU,
Accuracy
(mPA),
accuracy,
respectively.
Further
analysis
CRITIC
method
highlights
strengths
various
dimensions
across
different
areas.
not
only
improves
but
also
offers
valuable
insights
managers
enhance
livability
functionality
Язык: Английский
Evaluating and Diagnosing Urban Function and Perceived Quality Based on Multi-Source Data and Deep Learning Using Dalian as an Example
Buildings,
Год журнала:
2025,
Номер
15(7), С. 998 - 998
Опубликована: Март 21, 2025
Currently,
coordinated
development
in
terms
of
perceived
urban
quality
and
function
has
become
a
key
problem.
However,
there
is
an
imbalance
between
the
street
environment
amenities.
It
necessary
to
explore
current
status
propose
optimization
strategies
promote
spaces.
Dalian,
China,
was
selected
as
study
area.
Based
on
space
syntax,
high-accessibility
low-accessibility
streets
were
sites.
An
evaluation
system
constructed
part
study.
included
quality.
Data
density
diversity
amenities
obtained
by
establishing
points
interest
(POIs).
The
subjective
psychological
perception
calculated
using
view
images
(SVIs).
Then,
coupling
analysis
based
conducted
results
indicated
that
differences
levels
regard
spatial
Dalian.
Specifically,
mainly
concentrated
central
higher
than
streets.
found
had
highest
proportions
advantage
opportunity
beauty
lowest
maintenance
among
improvement
Openness
As
result
analysis,
this
not
only
helps
optimize
layout
improve
environment,
but
also
provides
practical
guidance
for
future
design.
Additionally,
will
help
environments
enhance
overall
livability
environment.
Язык: Английский
Predicting seismic sustainability for a complex CHESST interaction by AHP using LWST
Journal of Safety and Sustainability,
Год журнала:
2024,
Номер
unknown
Опубликована: Авг. 1, 2024
Underground
and
over-ground
structures
are
affected
by
the
external
forces
(tsunami,
earthquake,
storm,
etc.)
that
directly
related
to
environment
change
in
climate.
For
this
reason,
a
complex
CHESST
(Climate-Human-Environment-Structure-Soil-Tunnel)
interaction
model
is
proposed
research
which
categorized
based
on
structure
types
(building,
bridge,
elevated,
road/rail).
The
best
selected
AHP
(Analytic
Hierarchy
Process)
using
LWST
(Logical
Weightage
Selection
Technique).
depends
modified
logical
scale.
weightage
matrices
prepared
for
three
criteria
(Environment
Climate,
Social,
Economic),
sub-criteria
under
each
criteria,
goal
(selection
of
model).
selection
technique
validated
acceptable
rate
decision
sensitivity.
elevated
(alternative
model)
shows
maximum
value
seismic
sustainability
index
(SSI)
among
all
alternatives
results.
Also,
fluctuation
strain
found
from
shake
table
test
most
sustainable
expressway
according
SSI
because
showing
highest
priority
0.368.
However,
there
scope
enhance
future
considering
more
alternatives,
sub-criteria,
etc.
Язык: Английский
Research into the Influence Mechanisms of Visual-Comfort and Landscape Indicators of Urban Green Spaces
Land,
Год журнала:
2024,
Номер
13(10), С. 1688 - 1688
Опубликована: Окт. 16, 2024
Urban
green
spaces
play
a
crucial
role
in
providing
social
services
and
enhancing
residents’
mental
health.
It
is
essential
for
sustainable
urban
planning
to
explore
the
relationship
between
human
perceptions,
particularly
their
visual
comfort.
However,
most
current
research
has
analyzed
using
two-dimensional
indicators
(remote
sensing),
which
often
overlook
perceptions.
This
study
combined
three-dimensional
methods
evaluate
spaces.
Additionally,
employed
machine
learning
quantify
comfort
green-space
environments
explored
The
results
indicated
that
Kitakyushu
exhibited
moderate
FCV
an
extremely
low
Green
View
Index
(GVI).
Yahatanishi-ku
was
characterized
as
having
highest
Tobata-ku
demonstrated
lowest
Natural,
GVI,
openness,
enclosure,
vegetation
diversity,
landscape
NDBI
were
positively
correlated
with
ENVI
negatively
Vegetation
diversity
had
impact
on
improving
By
integrating
remote
sensing
street-view
data,
this
introduces
methodology
ensure
more
holistic
assessment
of
planners
could
use
it
better
identify
areas
insufficient
space
or
require
improvement
terms
quality.
Meanwhile,
be
helpful
valuable
input
formulating
effective
policies
overall
environmental
provides
scientific
foundation
improve
construction
healthy
cities.
Язык: Английский
A method for evaluating the visual quality of wetland park landscapes: a case study of Qianlu Lake Wetland Park in Wuping, China
Environmental Research Communications,
Год журнала:
2024,
Номер
6(10), С. 105024 - 105024
Опубликована: Окт. 1, 2024
Abstract
Wetland
parks
are
an
important
part
of
urban
ecosystems,
characterized
by
artificial
and
natural
features.
While
providing
outdoor
recreational
space
for
residents,
the
aesthetics
landscape
also
affect
residents’
willingness
to
visit
wetland
park.
Previous
studies
focused
on
ecological
benefit.
However,
fewer
systematic
analyzed
aesthetic
qualities
influencing
elements
parks.
In
this
study,
Wuping
Qianlu
Lake
Park
in
Fujian
Province,
China
was
used
evaluate
visual
quality
park
using
Scenic
Beauty
Estimation
method
(SBE),
features
were
obtained
through
Semantic
Differential
(SD)
semantic
segmentation
technique.
The
regression
model
established
SBE
values
as
dependent
variable,
23
independent
variables.
accessibility
combined
create
four
quadrants,
which
with
K-means
clustering
diagnose
existing
problems.
results
study
showed
that
two
features,
approach
proportion
water
area
weaker
among
types
landscapes.
man-made
type
most
significant.
Meanwhile,
high
enclosure
had
a
significant
sense
rusticity,
accentuating
wildness
plants.
It
less
aesthetically
pleasing
poorest
types.
This
provides
diagnosing
problems
parks,
evaluating
assessment,
theoretical
technical
support
renewal
construction.
Язык: Английский