Buildings,
Год журнала:
2024,
Номер
14(12), С. 4074 - 4074
Опубликована: Дек. 21, 2024
Urban
growth
is
increasingly
shifting
from
horizontal
expansion
to
vertical
development,
resulting
in
skylines
dominated
by
high-rise
buildings.
The
post-construction
operations
and
maintenance
of
these
buildings
are
critical,
requiring
regular
structural
health
monitoring
(SHM)
proactively
identify
address
potential
safety
concerns.
Interferometric
synthetic
aperture
radar
(InSAR)
has
proven
effective
for
building
safety,
but
most
studies
rely
on
high-resolution
(SAR)
images.
high
cost
limited
coverage
images
restrict
their
use
large-scale
monitoring.
Sentinel-1
medium-resolution
SAR
images,
which
freely
available
offer
broad
coverage,
make
SHM
more
feasible.
However,
the
monitoring,
especially
at
large
spatial
scales,
remain
limited.
To
this
gap,
study,
PS-InSAR
technology
proposed
performing
a
comprehensive
assessment
super
Guangzhou–Foshan
Metropolitan
Area
(GFMA)
analyzing
influencing
factors.
Our
shows
that
while
overall
satisfactory,
certain
areas,
including
Pearl
River
New
Town,
central
Huadu
district
Guangzhou,
southeastern
Shunde
Foshan,
exhibit
suboptimal
conditions.
We
verified
findings
using
GNSS
data
on-site
investigations,
confirming
imagery
offers
reliable
accuracy
health.
Furthermore,
we
identified
factors
such
as
settlement
soft
soil
layers,
construction
surrounding
(underground)
infrastructure,
aging,
could
potentially
impact
safety.
results
demonstrate
provide
reliable,
rapid,
cost-effective
method
stability,
enhancing
our
understanding
underlying
mechanisms
informing
strategies
prevent
crises,
also
ensuring
sustainable
development
society.
Remote Sensing,
Год журнала:
2025,
Номер
17(6), С. 1056 - 1056
Опубликована: Март 17, 2025
Urban
vitality
serves
as
a
crucial
metric
for
evaluating
sustainable
urban
development
and
the
well-being
of
residents.
Existing
studies
have
predominantly
focused
on
analyzing
direct
effects
intensity
(VI)
its
influencing
factors,
while
paying
less
attention
to
diversity
(VD)
indirect
impact
mechanisms.
Supported
by
multisource
remote
sensing
data,
this
study
establishes
five-dimensional
evaluation
system
employs
Partial
Least
Squares
Structural
Equation
Model
(PLS-SEM)
quantify
interrelationships
between
these
multidimensional
factors
VI/VD.
The
findings
are
follows:
(1)
Spatial
divergence
VI
VD:
exhibited
stronger
clustering
(I
=
1.12),
aggregating
in
central
areas,
whereas
VD
demonstrated
moderate
autocorrelation
0.45)
concentrated
mixed-use
or
suburban
zones.
(2)
Drivers
intensity:
strongly
associated
with
commercial
density
(β
0.344)
transportation
accessibility
0.253),
but
negatively
correlated
natural
environment
quality
(r
−0.166).
(3)
Mechanisms
diversity:
is
closely
linked
public
service
0.228).
This
research
provides
valuable
insights
city
decision-making,
particularly
strengthening
optimizing
functional
layouts.