Risk Analysis,
Journal Year:
2023,
Volume and Issue:
44(1), P. 203 - 228
Published: April 30, 2023
To
assess
the
economic
ripple
effect,
this
study
integrates
agent-based
modeling
(ABM)
with
a
multiregional
input-output
(MRIO)
table
to
develop
an
assessment
model
that
considers
capacity
recovery
process.
The
intermediate
and
final
demands
in
MRIO
are
used
describe
agents'
interdependence.
Survival
analysis
is
construct
rate
curves.
By
defining
first-
second-order
effects,
ABM
capture
process
days.
conduct
case
study,
service
retail
sectors
Enshi
Hubei,
China,
selected
as
disaster-affected
(they
were
severely
affected
by
July
17,
2020
flood
disaster).
main
findings
follows:
(1)
With
first-order
losses
caused
concentrated
within
Enshi.
Enshi's
demand,
construction,
raw
materials
manufacturing
well
Wuhan's
construction
sector
seriously
affected.
(2)
expand,
forming
prominent
industrial
chain:
"service
(retail)-raw
manufacturing-construction."
(3)
direct
indirect
more
significant
than
those
sector.
However,
loss
ratio
of
smaller
because
its
sound
structure
strong
resilience.
Hence,
different
not
entirely
determined
their
losses;
instead,
they
also
related
degree
perfection
structures
sectors.
Ecological Indicators,
Journal Year:
2024,
Volume and Issue:
160, P. 111773 - 111773
Published: Feb. 23, 2024
Ecological
safety
evaluation
is
a
key
tool
that
reflects
changes
in
the
quality
of
ecological
environment
and
provides
scientific
basis
for
land
use
policies
construction.
This
study
used
Changbaishan
region
as
area,
selected
23
indicators
from
natural
socioeconomic
aspects,
adopted
Driving
Force-Pressure-State-Impact-Response-Management
(DPSIRM)
model,
hierarchical
analysis
entropy
value
methods
to
determine
weights
comprehensively
evaluate
security
wetlands.
The
results
showed
increased
0.1754
0.2933
1990–2020
Changbai
Mountains
moving
critical
state
state.
was
lower
center
higher
east,
north,
southwest.
In
addition,
wetlands
north
recovered
faster.
During
period,
driver,
response,
management
indices
increased,
whereas
pressure,
state,
impact
were
relatively
stable.
Mountain
has
achieved
success
wetland
management,
education,
environmental
protection
expenditure,
compensation,
protection;
however,
rational
planning
still
needed
urbanization,
construction
development,
tourism.
Entropy,
Journal Year:
2024,
Volume and Issue:
26(2), P. 143 - 143
Published: Feb. 6, 2024
This
research
offers
a
solution
to
highly
recognized
and
controversial
problem
within
the
composite
indicator
literature:
sub-indicators
weighting.
The
proposes
novel
hybrid
weighting
method
that
maximizes
discriminating
power
of
with
objectively
defined
weights.
It
considers
experts’
uncertainty
concerning
conceptual
importance
in
multidimensional
phenomenon,
setting
maximum
minimum
weights
(constraints)
optimization
function.
scheme,
known
as
SAW-Max-Entropy
method,
avoids
attributing
are
incompatible
phenomenon’s
theoretical
framework.
At
same
time,
it
reduces
influence
assessment
errors
judgment
biases
on
scores.
results
show
scheme
achieves
greater
than
schemes
based
Entropy
Index,
Expert
Opinion,
Equal
Weights.
has
high
application
potential
due
increasing
use
indicators
across
diverse
areas
knowledge.
Additionally,
represents
robust
response
challenge
constructing
superior
power.
Land,
Journal Year:
2023,
Volume and Issue:
12(7), P. 1448 - 1448
Published: July 20, 2023
The
purpose
of
land
ecological
security
(LES)
assessment
is
to
evaluate
the
influence
use
and
human
activities
on
ecosystem.
Its
ultimate
objective
offer
decision-making
assistance
direction
for
safeguarding
rejuvenating
well-being
effectiveness
However,
it
important
note
that
there
are
still
significant
uncertainties
associated
with
current
safety
assessments.
This
paper
presents
a
comprehensive
evaluation
model
combines
strengths
subjective
weighting
methods.
built
upon
an
index
system
developed
using
Pressure-State-Response
(PSR)
framework.
To
verify
level
LES,
theThe
results
classifying
total
ecosystem
service
valueTotal
Ecosystem
Service
Value
utilized
LES.
Furthermore,
spatial
distribution
patterns
regional
levels
analyzed
statistical
techniques,
such
as
Moran’s
I,
Mann–Whitney
U-test,
Kruskal–Wallis
H-test.
findings
indicate
that:
(1)
in
this
achieves
validation
accuracy
75.55%,
indicating
provides
more
accurate
reflection
region;
(2)
generally
safe,
mean
value
moderate
range.
It
experienced
turning
point
2010,
showing
initial
deterioration
followed
by
improvement,
mainly
due
transition
between
unsafe
relatively
safe
zones.
(3)
economic
development,
topography,
urban-–rural
structure
factors
influencing
concentration
LES
region,
ultimately
shaping
pattern
Chengdu
Plain
region.
