Journal of Public Affairs,
Год журнала:
2025,
Номер
25(1)
Опубликована: Янв. 6, 2025
ABSTRACT
Recent
crises
exacerbate
social,
environmental,
and
economic
problems
affecting
the
Sustainable
Development
Goals
(SDGs)
urban
resilience.
Urgent
action
is
needed
to
address
these
issues.
The
paper
aims
(i)
broaden
debate
on
resilience
SDGs
(ii)
examine
how
interconnection
of
Urban
Spatial
Resilience
(USR)
can
contribute
sustainable
cities
communities.
research
developed
through
a
literature
review
bibliometric
analysis,
followed
by
quantitative
approach
using
modeling
simulation.
results
reveal
three
critical
elements
that
impact
development:
SDG11,
spatial
structure
resilience,
form
Other
findings
indicate
SDG13
SDG6
have
significant
indirect
relationship
with
study
provides
policy
implications
supporting
SDGs.
Ecological Indicators,
Год журнала:
2024,
Номер
160, С. 111836 - 111836
Опубликована: Март 1, 2024
The
Plateau
Lake
Area
in
Central
Yunnan
has
undergone
agglomerated
socio-economic
development.
At
the
same
time,
its
fragile
ecosystems,
complex
ecological
problems,
and
rapid
urbanization
have
continued
to
challenge
security
led
prominent
contradictions
between
protection
Herein,
natural
geographic
information
kilometer
grid
data
associated
with
were
used
measure
resilience
(ER)
level
(UL)
2000,
2010,
2019,
spatial–temporal
features
of
ER
elucidated.
impacts
on
at
raster
zoning
scales
by
using
optimal
parameters-based
geographical
detector
(OPGD)
model.
results
indicate
that
central
urban
areas
Kunming
decrease,
plateau
lake
regions
showing
low
ER.
Furthermore,
hindered
ER,
influence
increased
significantly
from
2010
2019.
Although
negative
effect
land
was
most
significant,
aggregation
population
economy
did
not
inevitably
lead
dominant
drivers
varied
across
districts
counties,
depending
their
development
status.
Based
these
results,
strategies
enhance
under
differentiated
paths
explored
serve
as
a
decision-making
foundation
for
territorial
governance.
Underground Space,
Год журнала:
2024,
Номер
17, С. 1 - 24
Опубликована: Янв. 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.
Ecological Indicators,
Год журнала:
2024,
Номер
158, С. 111625 - 111625
Опубликована: Янв. 1, 2024
The
concept
of
urban
resilience
focuses
on
understanding
the
process
and
mechanisms
disaster
occurrence,
providing
innovative
approaches
to
address
stormwater
flooding.
However,
existing
studies
primarily
concentrate
enhancing
overall
system
resilience,
with
limited
research
examining
temporal
progression
from
disturbance
flood
generation.
To
fill
this
gap,
study
categorizes
development
flooding
into
three
periods:
resistance
(DR),
adjustment
adaptation
(AA),
rapid
recovery
(RR).
Using
SWMM
(Storm
Water
Management
Model)
software,
27
representative
parcels
in
Beijing-Tianjin-Hebei
region
China
were
simulated.
By
sequentially
considering
single-indicator
control
variables,
indicators
that
significantly
impact
periods
identified
through
construction
a
indicator
library.
Subsequently,
models
for
each
phase
constructed
using
BP
(Back
Propagation)
neural
network,
genetic
algorithms
employed
optimize
determine
optimal
values
period.
Finally,
findings
summarized
design
method
built
environment
flooding,
accompanied
by
guide
improving
resilience.
reveals
following
key
findings:
(1)
influence
physical
spatial
elements
formation
varies
across
different
stages
process;
(2)
distinct
operate
at
times
ways
throughout
entire
(3)
does
not
necessarily
require
setting
specific
threshold
influencing
indicator;
instead,
an
single
value
emerges
when
multiple
interact.
Moreover,
interact,
combination
module
best
exists.
This
investigates
complete
cycle
storm
formation,
offering
both
solutions
cities
mitigate
disasters
advancing
theoretical
while
fostering
interdisciplinary
integration.
