Journal of Advanced Transportation,
Journal Year:
2022,
Volume and Issue:
2022, P. 1 - 15
Published: March 29, 2022
This
study
proposed
a
modified
metric
inspired
by
the
well-applied
“resilience-triangle”
framework
to
integrate
resilience
concept
within
traffic
speed.
Firstly,
for
setting
evolving
normal
functionality,
this
added
concepts
of
robustness
loss
and
rapidity
characterize
compare
recovery
processes
local
roads
assess
corresponding
under
different
operation
conditions.
Secondly,
these
patterns
provide
quantitative
benchmark
detecting
links
between
operating
conditions
exploring
its
impact
on
total
resilience.
Finally,
simulated
compared
dynamic
evolution
roads,
which
accurately
captured
weak
poorly
resilient
road
locations.
Our
findings
indicated
that
was
quite
efficient
accurate
in
assisting
stakeholders
prioritize
transport
planning
retrofit
projects
some
specific
could
improve
overall
system
significantly.
Ecological Indicators,
Journal Year:
2023,
Volume and Issue:
154, P. 110643 - 110643
Published: July 10, 2023
Urban
floods
have
become
increasingly
frequent
in
recent
years,
highlighting
the
need
for
resilience
evaluation
and
identification
of
strategies
to
improve
urban
flood
resilience.
In
this
study,
a
system
indicators
is
proposed
quantitatively
evaluate
level
The
entropy
method
used
calculate
index
space–time
permutation
scan
analyze
aggregation
characteristics
levels
are
combined
establish
methodology
evaluating
An
indicator
proposed,
encompassing
aspects
natural,
economy,
society,
infrastructure.
This
attuned
local
needs
evaluation,
tests
applicability
Guide
Safety
Resilient
City
Evaluation
(GB/T
40947–2021)
study.
Moreover,
it
incorporates
key
common
extracted
from
prior
studies
on
evaluation.
Zhejiang
Province,
flood-prone
area
China,
selected
as
study
area,
their
trends
2011
2020.
results
show
that
improved
economic,
infrastructure
aspects,
while
social
aspect
remain
high.
From
2014,
two
distinct
patterns
emerged,
delineated
inland-type
coastal-type
areas.
analysis
both
was
conducted,
considering
an
array
influencing
indicators,
such
green
coverage
rate
built-up
areas,
population
age
structure
index,
gross
domestic
product,
density
resident
per
capita
disposable
income.
period
2014
2020,
however,
did
not
reveal
any
significant
characteristics.
provides
reference
establishing
in-depth
understanding
resilience,
targeted
recommendations
bolster
area.
Sustainability,
Journal Year:
2024,
Volume and Issue:
16(10), P. 4143 - 4143
Published: May 15, 2024
Floods
pose
a
significant
threat
to
road
networks
globally,
disrupting
transportation,
isolating
communities,
and
causing
economic
losses.
This
study
proposes
four-stage
methodology
(avoidance,
endurance,
recovery,
adaptability)
enhance
the
resilience
of
networks.
We
combine
analysis
constructed
assets
asset
system
performance
with
multiple
disaster
scenarios
(Reactive
Flood
Response,
Proactive
Resilience
Planning,
Early
Warning
Systems).
Advanced
flood
Geospatial-AI
models
open
data
sources
pinpoint
high-risk
zones
affecting
crucial
routes.
The
investigates
how
resilient
infrastructure
improve
outcomes
within
Urban
Index
(CRI)
planning,
integrating
metrics
cost–benefit
identify
effective
economically
viable
solutions.
A
case
on
Lisbon
Road
network
subjected
risk
analyzes
effectiveness
efficiency
these
scenarios,
through
loss
gain
cost
analysis.
Scenario
2,
demonstrates
7.6%
increase
compared
1,
Reactive
3.5%
3,
Systems
Implementation.
By
considering
performance,
optimization,
cost,
supports
strategies
that
minimize
impacts,
while
enabling
communities
withstand
recover
from
events.
Integrating
ensures
sustainability
feasibility
reduction
measures.
International Journal of Environmental Research and Public Health,
Journal Year:
2022,
Volume and Issue:
19(14), P. 8837 - 8837
Published: July 21, 2022
In
recent
decades,
climate
change
is
exacerbating
meteorological
disasters
around
the
world,
causing
more
serious
urban
flood
disaster
losses.
Many
solutions
in
related
research
have
been
proposed
to
enhance
adaptation
change,
including
flooding
simulations,
risk
reduction
and
flood-resistance
capacity.
this
paper
we
provide
a
thorough
review
of
flood-resilience
using
scientometric
systematic
analysis.
Using
Cite
Space
VOS
viewer,
conducted
analysis
quantitively
analyze
papers
from
Web
Science
Core
Collection
1999
2021
with
resilience
as
keyword.
We
systematically
summarize
relationship
resilience,
co-citation
keywords,
authors,
institutions,
countries,
trends.
The
results
show
that
four
stages
can
be
distinguished
indicate
evolution
different
keywords
management
1999,
has
become
hotspot
significant
increase
globally
since
2015.
methods
progress
these
fields
are
analyzed,
planning,
system
flood-simulation
models.
Climate
high
interest
research.
Urban
planning
systems
differ
terms
human
involvement
local
policies,
while
dynamic
factors
need
jointly
described.
Models
mostly
evaluated
indicators,
comprehensive
studies
based
on
traditional
models
needed
for
multi-level
higher
performance
Consequently,
about
policies
dynamics
within
global
areas
combined
fine
simulation
future,
improving
concept
applied
flood-risk-management
assessment.
Transportation Research Part D Transport and Environment,
Journal Year:
2023,
Volume and Issue:
120, P. 103793 - 103793
Published: May 30, 2023
While
the
trend
towards
building
resilience
in
infrastructure
systems
for
disaster
risk
reduction
is
accelerating,
application
of
largely
conceptual
or
an
embellishment
to
established
modelling
techniques.
In
response,
this
paper
sets
out
theoretical
foundations
resilience,
which
broadly
applies
across
critical
networks.
This
followed
by
reviewing
system-based
and
network-based
approaches
assessment
with
a
focus
on
transport
infrastructure,
where
there
emerging
body
studies.
It
spotlights
issues
conflating
other
concepts
safety
management
merely
tagging
methods,
indicating
phenomenon
"old
wine
new
bottles".
Also,
oversimplifying
disruption
scenarios
does
not
provide
sufficient
basis
informed
planning.
reminds
readers
look
beyond
as
mere
buzzword
offers
guidance
how
do
so
recognising
methodological
cornerstones
resilience.
Systems,
Journal Year:
2024,
Volume and Issue:
12(2), P. 43 - 43
Published: Jan. 29, 2024
When
confronted
with
rainstorms
and
flood
disturbances,
the
operational
processes
of
urban
metro
systems
demonstrate
vulnerabilities
to
attacks,
inadequate
resistance,
sluggish
recovery
characteristics.
The
resilience
UMS
requires
urgent
enhancements.
This
paper
aims
enhance
operation
by
proposing
a
three-stage
PEL
enhancement
framework:
prevention
resilience,
response
learning
resilience.
Additionally,
it
summarizes
influencing
factors
on
from
five
dimensions:
natural-physical-social-management-economic
(NPSME).
By
employing
system
dynamics
as
simulation
tool,
this
study
elucidates
logical
interconnections
among
these
influential
factors.
Furthermore,
utilizing
economic
change
conditions
an
illustrative
example,
effectively
simulates
characteristics
both
standardized
benchmark
scenarios
scenarios.
Based
results,
corresponding
strategies
for
are
proposed
offer
valuable
insights
management.
Nanjing
was
taken
case
study,
where
relevant
historical
data
were
collected
simulated
different
development
validate
effectiveness
rationality
method
enhancing
results
that
changes
in
population
structure
primary
operations.
Journal of Infrastructure Systems,
Journal Year:
2024,
Volume and Issue:
30(3)
Published: April 30, 2024
Transportation
infrastructures
and
operations
can
be
severely
impacted
during
flood
events,
leading
to
significant
disruptions
the
flow
of
goods
services.
Although
numerous
studies
have
evaluated
direct
impacts
events
on
performance
transportation
infrastructures,
indirect
or
cascading
effects
been
rarely
assessed.
Hence,
this
paper
examines
floods
infrastructure
using
data
mining
algorithms.
First,
33
identified
based
collected
for
multiple
in
New
York
Jersey.
Second,
association
rule
analysis
was
implemented
identify
key
co-occurrences
between
flooding
different
events.
Third,
network
conducted
quantify
combinations
among
Fourth,
cluster
used
group
prioritize
co-occurring
into
highly
connected
clusters
most
critical
ones
two
scenarios:
(1)
without
consideration
(Scenario
1);
(2)
with
2).
The
findings
provided
insights
that
while
some
could
individually
critical/frequent
(under
Scenario
1),
other
also
result
due
a
combination
might
not
perceived
individual
level
but
rather
become
when
combined
outcomes
demonstrate
importance
considering
effects,
than
analyzing
them
isolation.
This
study
adds
body
knowledge
by
offering
an
analytical
approach
infrastructures.
