Buildings,
Journal Year:
2024,
Volume and Issue:
14(2), P. 502 - 502
Published: Feb. 11, 2024
In
the
current
era,
as
modern
cities
increasingly
face
environmental
disasters
and
inherent
challenges,
creation
enhancement
of
resilient
have
become
critical.
China’s
urban
resilience
exhibits
significant
imbalances
inadequacies
at
provincial
level.
This
study
delves
into
evolution
in
various
Chinese
provinces,
offering
valuable
insights
for
building
nurturing
cities.
Initially,
a
comprehensive
evaluation
system
was
established,
incorporating
24
indicators
across
three
key
aspects:
resistance,
adaptability,
recovery.
The
entropy
weight
method
used
to
develop
an
model,
Moran
index
spatial
cold–hot-spot
analysis
were
applied
examine
spatiotemporal
dynamics
31
provinces
from
2012
2021.
Moreover,
geographically
temporally
weighted
regression
model
employed
analyze
distribution
factors
affecting
resilience.
results
show
general
upward
trend
with
notable
regional
differences
concentrations.
A
decrease
is
observed
southeastern
coastal
inland
regions.
highlights
variations
impact
different
factors,
same
factor
having
varying
effects
provinces.
research
provides
thorough
understanding
influencing
China,
contributing
both
theoretical
practical
discussions
on
topic.
It
lays
strong
scientific
groundwork
development
advancement
China.
Underground Space,
Journal Year:
2024,
Volume and Issue:
17, P. 1 - 24
Published: Jan. 11, 2024
Urban
underground
space
(UUS)
development
has
been
acknowledged
as
a
positive
contribution
to
urban
resilience
(UR).
Such
qualitatively
addressed
in
recent
years,
but
only
quantitatively
discussed
few
studies.
Quantitative
evaluation
methods
for
UR
are
widely
used
China
and
around
the
world,
role
of
is
barely
included.
This
paper
provides
way
bridge
this
gap
on
city
scale.
A
framework
was
carefully
constructed
that
covers
basic
aspects
elements
UR.
The
contributions
UUS
were
identified
integrated
into
framework,
measurement
each
indicator
related
determined.
case
study
19
sample
cities
conducted
using
model.
Correlation
analysis
clustering
further
adopted
interpret
results,
mainly
with
three
indicators
reflecting
level
development,
namely
area
(m2),
density
(104
m2/km2)
per
capita
(m2/person).
results
showed
strong
correlation
between
average
proportion
provided
by
16.46%,
while
maximum
figure
reached
29.20%.
clustered
four
categories
based
relationship
UUS,
area,
GDP
capita,
where
both
high
low
tend
provide
less
than
medium
area.
Corresponding
suggestions
utilization
proposed
assist
achieving
resilience.
