Evaluation of Urban Infrastructure Resilience Based on Risk–Resilience Coupling: A Case Study of Zhengzhou City
Land,
Год журнала:
2025,
Номер
14(3), С. 530 - 530
Опубликована: Март 3, 2025
The
frequent
occurrence
of
disasters
has
brought
significant
challenges
to
increasingly
complex
urban
systems.
Resilient
city
planning
and
construction
emerged
as
a
new
paradigm
for
dealing
with
the
growing
risks.
Infrastructure
systems
like
transportation,
lifelines,
flood
control,
drainage
are
essential
operation
during
disasters.
It
is
necessary
measure
how
risks
affect
these
systems’
resilience
at
different
spatial
scales.
This
paper
develops
an
infrastructure
risk
evaluation
index
system
in
areas
based
on
characteristics.
Then,
comprehensive
established
risk–resilience
coupling
mechanism.
overall
characteristics
then
identified.
transmission
level
causes
effects
analyzed
principle
scale.
Additionally,
enhancement
strategies
under
scenarios
proposed.
In
empirical
study
Zhengzhou
City,
shows
clustering
area.
high
central
low
periphery.
Specifically,
it
relatively
southern
northwestern
parts
airport
economy
zone
(AEZ)
center.
leading
driving
factors
drought,
hazardous
materials,
infectious
diseases,
epidemics,
while
include
transportation
networks,
sponge
construction,
municipal
pipe
fire
protection.
proposes
“risk-resilience”
framework
evaluate
analyze
multi-hazard
multi-system
across
multi-level
provides
strategies,
complementing
existing
individual
dimensional
or
studies.
findings
could
offer
visualized
results
support
decision-making
Zhengzhou’s
resilient
outline
special
provide
references
assessment
similar
cities.
Язык: Английский
Exploring the low-carbon development path of resource-based cities based on scenario simulation
Scientific Reports,
Год журнала:
2025,
Номер
15(1)
Опубликована: Фев. 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.
Язык: Английский
Dynamic Monitoring and Evaluation of Ecological Environment Quality in Urumqi Metropolitan Based on Google Earth Engine
Springer proceedings in physics,
Год журнала:
2025,
Номер
unknown, С. 57 - 76
Опубликована: Янв. 1, 2025
Язык: Английский
Multi-scale Quantification and Optimization of Spatial Resilience under Industrial Activities: A Case Study of Resource-Based Cities in China
Sustainable Cities and Society,
Год журнала:
2025,
Номер
unknown, С. 106487 - 106487
Опубликована: Май 1, 2025
Язык: Английский
Can new consumption promote urban industrial resilience? Empirical evidence from pilot cities of information consumption
PLoS ONE,
Год журнала:
2025,
Номер
20(5), С. e0323101 - e0323101
Опубликована: Май 28, 2025
The
rapid
advancement
of
digital
technology
and
its
widespread
application
have
led
to
digitalization,
personalization,
customization
in
the
demand
side
China’s
economy.
Enhancing
industrial
resilience
through
new
types
consumption
is
great
practical
significance
for
expanding
domestic
promoting
high-quality,
sustainable
economic
growth
China.
This
study
examines
impact
Information
Consumption
Pilot
City
(ICPC)
policy
as
a
quasi-natural
experiment
on
urban
resilience,
employing
difference-in-difference
(DID)
method
empirical
analysis.
findings
reveal
that
ICPC
significantly
enhances
level
resilience.
Heterogeneity
tests
indicate
this
enhancement
effect
particularly
pronounced
eastern,
central,
larger
regions.
Furthermore,
primarily
strengthens
three
mechanisms:
information
development,
entrepreneurial
agglomeration,
financial
effects.
contributes
literature
economy,
evaluates
impacts
pilot
policies
consumption,
offers
valuable
implications
policymakers.
Язык: Английский
Assessment of urban flood resilience and obstacle factors identification: A case study of three major urban agglomerations in China
Ecological Indicators,
Год журнала:
2025,
Номер
176, С. 113659 - 113659
Опубликована: Май 28, 2025
Язык: Английский
Bridging digital and ecological resilience: Spatiotemporal dynamics and coordinated development paths in the Yellow River Inverted U-Shaped Belt Metropolitan Area
Journal of Environmental Management,
Год журнала:
2025,
Номер
388, С. 125990 - 125990
Опубликована: Июнь 2, 2025
Язык: Английский
Resilience assessment of urban connected infrastructure networks
Scientific Reports,
Год журнала:
2025,
Номер
15(1)
Опубликована: Июнь 5, 2025
Язык: Английский
Coupling Coordination of Urban Resilience and Urban Land Use Efficiency in Hunan Province, China
Sustainability,
Год журнала:
2024,
Номер
16(24), С. 10860 - 10860
Опубликована: Дек. 11, 2024
Urban
resilience
and
urban
land
use
efficiency
are
inevitable
topics
in
planning
development,
the
coupling
coordination
between
two
will
contribute
substantially
to
sustainability.
With
panel
data
from
14
cities
Hunan
2010
2021
by
combining
entropy
method,
Super-SBM
model,
degree
this
study
analyzed
dynamic
spatial–temporal
evolution
pattern
of
utilization
their
through
a
multi-dimensional
evaluation
index
system
2021.
The
main
findings
were
as
follows:
overall,
stayed
low
over
years
study.
Temporally,
mean
increased
gradually
0.1962
0.3331,
spatially,
was
higher
eastern
region
than
western
area
province,
with
Changsha
having
highest
level
resilience.
Second,
rose
volatility
0.7162
0.9299,
northern
southern
region,
Zhangjiajie
efficiency.
Third,
province
had
high
efficiency,
average
value
0.8531,
degrees
observed
Chang–Zhu–Tan
agglomeration
province.
Fourth,
moderate
across
rising
0.5788
0.6453,
marginally
coordinated
primarily
coordinated,
where
degree.
All
state
level.
highly
state.
research
here
is
expected
provide
some
references
for
administrators
beyond
release
policies
that
achieve
stronger
resilience,
better
coordination.
Язык: Английский
A Machine Learning Approach to Predict Site Selection from the Perspective of Vitality Improvement
Land,
Год журнала:
2024,
Номер
13(12), С. 2113 - 2113
Опубликована: Дек. 6, 2024
The
selection
of
construction
sites
for
Cultural
and
Museum
Public
Buildings
(CMPBs)
has
a
profound
impact
on
their
future
operations
development.
To
enhance
site
planning
efficiency,
we
developed
predictive
model
integrating
Artificial
Neural
Networks
(ANNs)
Genetic
Algorithms
(GAs).
Taking
Shanghai
as
our
case
study,
utilized
over
1.5
million
points
interest
data
from
Amap
Visiting
Vitality
Values
(VVVs)
Dianping
Shanghai’s
administrative
area
map.
We
analyzed
compiled
344
sites,
each
containing
39
infrastructure
sets
one
visit
vitality
set
the
ANN
input.
was
then
tested
with
untrained
to
predict
VVVs
based
input
sets.
conducted
multi-precision
analysis
simulate
various
scenarios,
assessing
model’s
applicability
at
different
scales.
Combining
GA
approach,
predicted
improvements.
This
method
can
significantly
contribute
early
planning,
design,
development,
operational
management
CMPBs
in
future.
Язык: Английский