Globalization and Health,
Год журнала:
2023,
Номер
19(1)
Опубликована: Ноя. 16, 2023
Under
globalization,
human
settlement
has
become
a
major
risk
factor
affecting
life.
The
relationship
between
humans
and
the
environment
is
crucial
for
improving
community
resilience
coping
with
globalization.
This
study
focuses
on
key
contradictions
of
development
under
exploring
by
analyzing
mismatch
residents'
health
activities
environment.Using
data
from
Shanghai
downtown,
including
land
use,
Sports
app,
geospatial
urban
statistics,
this
paper
constructs
comprehensive
index
(CRI)
model
based
DPSIR
model.
enables
quantitative
analysis
spatial
temporal
distribution
Community
Human
Settlement
Resilience
(CR).
Additionally,
uses
geodetector
Origin
software
to
analyze
coupling
drivers
resilience.i)
scores
CR
showed
"slide-shaped"
fluctuation
difference
situation;
ii)
pattern
"pole-core
agglomeration
radiation"
type
"ring-like
type.
iii)
Distance
bus
stops,
average
annual
temperature,
CO2
emissions,
building
density
number
jogging
trajectories
are
dominant
factors
level
settlement.This
contributes
compilation
evaluation
systems
globally,
offering
insights
into
healthy
city
assessments
worldwide.
findings
can
guide
creation
similar
provide
valuable
references
communities
Remote Sensing,
Год журнала:
2023,
Номер
15(2), С. 430 - 430
Опубликована: Янв. 11, 2023
Ecological
environment
quality
and
resilience
assessment
is
an
important
prerequisite
for
ensuring
the
coordination
stability
of
socio-economic
development
eco-environment
protection.
Remote
sensing
technology
has
provided
new
approaches
quantitatively
evaluating
regional
ecological
rapidly,
accurately,
objectively.
Taking
middle
lower
reaches
Yangtze
River
Economic
Belt
(YREBML)
as
example,
to
assess
quality,
this
study
calculated
remote
index
(RSEI)
based
on
Google
Earth
Engine
using
Moderate
Resolution
Imaging
Spectroradiometer
(MODIS)
data
with
a
spatial
resolution
500
m
during
2000–2020.
An
evaluation
its
pattern
RSEI
2000–2020
was
then
constructed.
The
constructed
from
two
dimensions,
including
sensitivity
adaptability
RSEI.
Finally,
identified
key
factors
that
affect
residence
structural
equation
model.
results
showed
overall
at
moderate
good
levels
in
YREBML
2000–2020,
accounting
more
than
85%
total
area.
Its
characteristics
higher
YREB,
south
north.
decreasing
trend
54.36%
region
improving
45.64%
declining.
Areas
declining
were
concentrated
Anhui,
while
increasing
observed
Zhejiang.
In
addition,
characterized
by
high
north
east,
low
west.
High
areas
accounted
40.48%
YREBML,
mainly
contributed
Jiangxi
Hunan
provinces.
driving
analysis
indicated
economic
development,
natural
disaster
risk,
environmental
pollution
would
further
urban
systems.
This
provides
scientific
effective
support
monitoring
governance.
International Journal of Disaster Risk Reduction,
Год журнала:
2024,
Номер
108, С. 104519 - 104519
Опубликована: Апрель 30, 2024
With
global
climate
change
and
continuous
urbanization
exacerbating
floods,
urban
flood
resilience
(UFR)
has
become
a
key
to
cope
with
floods.
However,
few
studies
target
frameworks
of
UFR
assessment
at
the
agglomeration
scale
over
longer
time
span.
This
study,
taking
Yangtze
River
Delta
as
case
developed
an
evaluation
framework
detail
building
final
index
system
UFR,
analyze
UFR's
driving
factors
spatiotemporal
features
based
on
SSA-PP-KL-TOPSIS
(projection
pursuit
sparrow
search
algorithm-Kullback-Leibler-technique
for
order
preference
by
similarity
ideal
solution)
model.
From
perspectives
comparing
numerical
values
spatial
distribution
results,
indicators
method
proposed
in
this
article
perform
better.
The
results
showed
that
displayed
overall
growth
trend
significant
heterogeneities.
economic,
social,
infrastructure
similar
trend,
while
environmental
demonstrated
decreasing
trend.
Environmental
weak
link
improving
resilience.
Higher
levels
were
concentrated
central
metropolis,
provincial
capitals,
industrial
cities.
findings
could
be
use
researchers
practitioners,
presented
would
reference
other
flood-stricken
areas.
