Scientific Reports,
Journal Year:
2024,
Volume and Issue:
14(1)
Published: Dec. 28, 2024
Building
resilient
cities
has
become
an
emerging
risk
management
strategy,
thus
it
is
necessary
to
make
a
scientific
evaluation
on
urban
resilience.
In
this
study,
both
the
Driving
Force-Pressure-State-Impact-Response
(DPSIR)
framework
and
BP
neural
network
are
innovatively
adopted
construct
comprehensive
resilience
system.
Prefecture-level
in
Hubei
Province
examined
for
empirical
analysis.
The
results
show
that:
(1)
exhibits
intermittent
growth
pattern,
progressing
west-to-east
direction.
This
characterized
by
three
years
of
advancement
followed
one-year
period
stagnation.
(2)
There
spatial
negative
correlation.
Owing
uneven
development
within
Province,
can
be
seen
that
Wuhan,
provincial
capital,
holds
dominant
position.
(3)
Resource
environmental
pressure
main
obstacle
construction
Wuhan.
primary
limiting
factors
other
degree
socioeconomic
capacity
government
handle
affairs.
based
process-oriented
nature
resilience,
constructs
indicator
system
under
DPSIR
framework,
fully
reflecting
characteristics
It
not
only
enriches
theory
methodology
but
also
offers
valuable
references
governments
formulate
effective
strategies
sustainable
development.
Ecological Indicators,
Journal Year:
2024,
Volume and Issue:
159, P. 111748 - 111748
Published: Feb. 1, 2024
Arid
regions
hold
a
prominent
position
as
global
tourist
destination.
However,
their
ecological
fragility
and
sensitivity
to
economic
social
factors
make
them
more
susceptible
various
disruptive
elements,
thereby
exacerbating
the
instability
of
tourism
socio-ecological
system.
Consequently,
there
has
been
growing
focus
on
system
resilience
(TSESR)
in
arid
regions.
This
study
developed
scientific
universally
applicable
assessment
framework
evaluate
TSESR
regions,
considering
system's
process
mechanisms
dimensions.
The
encompasses
four
key
domains:
resistance,
recovery,
adaptation,
renewal,
further
divided
into
twelve
criterion
layers.
conducted
case
14
prefecture-level
units
Xinjiang,
China,
from
2010
2020.
An
improved
TOPSIS
model,
Gini
coefficient,
Kernel
density
estimation,
Obstacle
degree
model
were
employed
investigate
levels,
spatiotemporal
variations,
obstacle
TSESR.
research
findings
indicate
that
during
period,
levels
cities
exhibited
an
overall
upward
trend
with
fluctuations.
There
are
notable
spatial
disparities,
yet
these
disparities
diminishing.
Furthermore,
such
resource
endowment,
market
potential,
foundation,
industrial
environment,
human
capital
represented
common
obstacles,
while
unique
regional
impediments
also
existed.
index
can
scientifically
comprehensively
offering
adaptive
indicators
for
It
promotes
development
resilient
system,
achieving
sustainable
development.
IGI Global eBooks,
Journal Year:
2025,
Volume and Issue:
unknown, P. 337 - 364
Published: Feb. 18, 2025
The
future
of
sustainable
smart
cities
is
based
on
effective
collaboration
between
technology,
policy
and
community
engagement,
with
the
integration
artificial
intelligence
(AI)
into
urban
planning
rapidly
transforming
way
manage
their
environmental
resources.
This
innovative
technology
has
potential
to
improve
functionality
green
blue
infrastructure,
offering
solutions
that
address
both
ecological
conservation
urbanization
challenges.
As
strive
for
sustainability,
application
AI
enables
real-time
monitoring
predictive
analytics,
facilitating
more
informed
decision-making
balances
human
needs
demands.
In
conclusion,
while
holds
great
promise
environments,
it
simultaneously
requires
a
comprehensive
framework
prioritizes
equity,
active
citizen
participation
in
shaping
future.
Land,
Journal Year:
2024,
Volume and Issue:
13(1), P. 53 - 53
Published: Jan. 2, 2024
Flooding
is
one
of
the
world’s
most
devastating
natural
disasters,
and
effects
global
climate
change
further
intensify
its
impact.
In
context
flood
management,
urban
resilience
emerges
as
a
promising
perspective.
While
existing
assessment
systems
predominantly
encompass
economic,
social,
ecological,
infrastructural
factors,
they
often
neglect
crucial
dimensions
like
social
equity
human
awareness.
We
aimed
to
assess
considering
have
developed
an
indicator
system
called
3-Dimentional
Disaster
Urban
Flood
Resilience
Index
System
(3D-UFRIS)
address
issue.
also
introduced
media
data
explore
use
big
in
assessment.
Scrapy
was
used
collect
AHP-EWM
calculate
results.
Our
findings
reveal
layered
distribution
Zhengzhou,
categorized
into
five
levels:
highest,
higher,
medium,
lower,
lowest
resilience.
Notably,
highest
areas,
covering
mere
3.06%
total
area,
were
primarily
situated
Jinshui
district,
characterized
by
strong
economic
activity,
high
public
awareness,
history
waterlogging
incidents.
Conversely,
encompassing
largest
portion
at
36%,
identified
Zhongmou
County,
Xinzheng,
Shangjie
District,
marked
lower
awareness
limited
medical
accessibility.
This
study
presents
pioneering
approach
comprehending
disaster
resilience,
offering
valuable
insights
mitigating
flood-related
risks
enhancing
planning
strategies.
Sustainability,
Journal Year:
2024,
Volume and Issue:
16(10), P. 3990 - 3990
Published: May 10, 2024
Global
climate
change
has
precipitated
a
surge
in
urban
flooding
challenges,
prompting
the
imperative
role
of
green
infrastructure
(GI)
as
linchpin
sponge
city
construction
to
enhance
sustainability
and
resilience.
But
evaluation
stormwater
resilience
faces
challenges
due
lack
comprehensive
framework
taking
intrinsic
features
system
into
account
insufficient
coverage
alternative
scenarios’
performance
under
multiple
rainfall
return
periods.
This
study,
focusing
on
Fengxi
New
City,
China,
evaluates
suitability
GI
(i.e.,
roofs,
rain
gardens,
permeable
pavements)
constructs
management
model
(SWMM)
for
hydrological
simulation.
study
also
establishes
uses
quantitative
methods
unify
performances
scenarios
different
Our
analytical
findings
elucidate
that
is
predominantly
concentrated
northern
western
areas
area,
with
smallest
suitable
area
observed
pavements.
Divergent
GIs
exhibit
disparate
performances,
gardens
emerging
particularly
efficacious.
Importantly,
combination
yields
synergistic
enhancement
resilience,
underscoring
strategic
advantage
adopting
diverse
integrated
approach
implementation.
facilitates
deeper
understanding
assists
informed
planning
decisions
cities.
Scientific Reports,
Journal Year:
2025,
Volume and Issue:
15(1)
Published: Feb. 18, 2025
Abstract
Resource-based
cities
(RBCs)
have
historically
been
constrained
by
their
inherent
characteristics,
impeding
rapid
shifts
in
energy
consumption
patterns
and
exerting
substantial
pressure
on
regional
decarbonization
efforts.
Herein,
18
RBCs
southwestern
China
were
taken
as
the
research
object.
Firstly,
a
resilience
index
system
was
constructed
for
resource
ecosystem
socio-economic
of
RBCs,
optimization
mutation
level
algorithm
used
to
measure
each
city.
Secondly,
an
interval
prediction
model
established
carbon
emissions
based
GA-DBN-KDE
algorithm.
Finally,
setting
16
scenarios,
emission
range
“carbon
peak”
time
Southwest
from
2023
2040
predicted,
scientific
path
low-carbon
development
explored
under
differentiated
scenarios.
The
results
indicated
that:
(1)
urban
levels
both
rise;
(2)
demonstrated
excellent
performance;
(3)
simulation
scenarios
revealed
varying
specific
paths
achieve
peak,
underscoring
necessity
city-specific
policy
formulation.
Overall,
this
paper
provides
new
analytical
method
transformation
further
forging
basis
decision-makers
formulate
reduction
measures.
