Sustainability,
Journal Year:
2024,
Volume and Issue:
16(21), P. 9440 - 9440
Published: Oct. 30, 2024
Increased
external
uncertainties
and
growing
tensions
within
the
urban
economic
system
pose
new
challenges
to
economy.
How
improve
quality
of
development
enhance
resilience
economies
has
become
a
goal
for
sustainable
development.
Therefore,
taking
Jiangsu
Province
as
an
example,
this
study
aims
explore
evolutionary
trend
provide
valuable
references
cultivating
enhancing
resilience.
Initially,
indicators
is
established
based
on
three
dimensions:
resistance,
adaptability,
Then,
combined
with
entropy
method,
coefficient
variation
kernel
density
natural
break-point
Theil
index,
spatial
temporal
differences
elasticity
13
cities
in
from
2006
2021
are
analyzed.
Finally,
exploratory
data
analysis
convergence
models
applied
investigate
correlation
The
results
show
upward
Province,
but
significant
regional
agglomeration.
A
downward
level
observed
Southern
Northern
Jiangsu.
model
suggests
that
growth
will
gradually
converge
same
stable
level,
have
reduction.
In
future,
region
needs
strengthen
cooperation,
role
central
city
drive,
continuously
promote
high-quality
Infrastructures,
Journal Year:
2024,
Volume and Issue:
9(7), P. 107 - 107
Published: July 4, 2024
In
our
contemporary
cities,
infrastructures
face
a
diverse
range
of
risks,
including
those
caused
by
climatic
events.
The
availability
monitoring
technologies
such
as
remote
sensing
has
opened
up
new
possibilities
to
address
or
mitigate
these
risks.
Satellite
images
allow
the
analysis
terrain
over
time,
fostering
probabilistic
models
support
adoption
data-driven
urban
planning.
This
study
focuses
on
exploration
various
satellite
data
sources,
nighttime
land
surface
temperature
(LST)
from
Landsat-8,
well
ground
motion
derived
techniques
MT-InSAR,
Sentinel-1,
and
proximity
infrastructure
water.
Using
information
Local
Climate
Zones
(LCZs)
current
use
each
building
in
area,
economic
implications
any
changes
features
soil
are
evaluated.
Through
construction
Bayesian
Network
model,
synthetic
datasets
generated
identify
areas
quantify
risk
Barcelona.
results
this
model
were
also
compared
with
Multiple
Linear
Regression
concluding
that
provides
crucial
for
managers.
It
enables
adopting
proactive
measures
reduce
negative
impacts
reducing
eliminating
possible
disparities.
Engineering Construction & Architectural Management,
Journal Year:
2025,
Volume and Issue:
unknown
Published: May 2, 2025
Purpose
This
study
aims
to
enhance
urban
community
resilience
from
the
perspective
of
social
networks
in
mitigating
disaster
impacts.
It
addresses
critical
gap
systematic
quantifying
resilience,
with
a
particular
focus
on
stakeholder
interactions
within
communities.
Design/methodology/approach
The
proposes
an
integrated
framework
leveraging
network
analysis
(SNA)
map
across
three
distinct
phases.
Network
metrics
are
employed
as
evaluation
indicators,
while
hybrid
model
combining
coefficient
variation
(COV)
and
Technique
for
Order
Preference
by
Similarity
Ideal
Solutions
(TOPSIS)
is
utilized
quantify
levels
Findings
Applying
Community
F
Xuzhou
City
revealed
significant
variations
during
phases,
response
phase
demonstrating
most
intense
interactions.
Furthermore,
exhibited
consistent
downward
trend
Originality/value
research
provides
novel
approach
management
integrating
SNA
models.
advances
theoretical
insights
practical
strategies
enhancing
contributing
reduction
vulnerabilities
disasters.
Water,
Journal Year:
2024,
Volume and Issue:
16(7), P. 1066 - 1066
Published: April 7, 2024
In
recent
years,
large-scale
flood
events
have
occurred
more
frequently,
and
the
concept
of
resilience
has
become
a
prevalent
approach
to
managing
risk
in
many
regions.
This
led
an
increased
interest
how
effectively
measure
city’s
levels.
study
proposes
novel
modeling
quantify
urban
by
developing
D-number
theory
analytical
hierarchy
process
(AHP)
models,
which
are
applied
three
cities
China
using
VIse
Kriterijumski
Optimizacioni
Racun
(VIKOR)
method.
The
findings
reveal
that
Hefei
City
most
effective
level
resilience,
Hangzhou
was
ranked
second,
while
Zhengzhou
least
resilience.
provides
new
scientific
basis
on
at
city
scale
useful
reference
for
these
specific
cities.
methods
approaches
developed
this
potential
be
other
related
aspects
disaster
prevention,
recovery,
reconstruction.
Sustainability,
Journal Year:
2024,
Volume and Issue:
16(11), P. 4780 - 4780
Published: June 4, 2024
As
climate
change
intensifies,
urban
transportation
infrastructure
faces
unprecedented
challenges
from
extreme
weather
events,
such
as
floods.
This
study
investigates
the
resilience
and
vulnerability
of
under
rainfall
conditions
in
Changchun
City.
Utilizing
Multi-Criteria
Decision-Making
Analysis
(MCDM)
Geographic
Information
System
(GIS)
techniques,
we
comprehensively
assess
physical,
functional,
service
vulnerabilities
network.
Our
analysis
reveals
that
only
3.57%
area
is
classified
highly
resilient,
demonstrating
effective
flood
management
capabilities.
In
contrast,
a
significant
61.73%
exhibits
very
low
resilience,
highlighting
substantial
could
impact
operations.
Based
on
our
findings,
propose
specific
strategies
to
enhance
including
optimizing
drainage
systems,
upgrading
standards,
implementing
green
initiatives,
integrating
disaster
risk
factors
into
planning.
These
insights
provide
valuable
references
for
global
cities
facing
similar
climatic
challenges.
