Analysis of urban subway construction collapse disaster chain and research on chain breaking and disaster reduction
Ying–Jun Angela Zhang,
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Y. J. Gu,
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Ningning Lian
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et al.
PLoS ONE,
Journal Year:
2025,
Volume and Issue:
20(3), P. e0318269 - e0318269
Published: March 26, 2025
In
recent
years,
China
‘s
major
cities
set
off
a
climax
of
subway
construction,
but
also
brought
an
endless
stream
safety
accidents.
order
to
analyze
the
impact
evolution
process
urban
construction
collapse
disaster
on
residents
‘
life
and
social
economy,
by
collecting
typical
cases
disaster,
combined
with
chain
complex
network
theory,
model
is
constructed,
key
node
events
propagation
paths
are
analyzed.
Based
this,
targeted
chain-breaking
reduction
measures
proposed.
The
results
show:
can
be
divided
into
early,
middle
late
stages
evolution.
Through
destruction
collapse,
underground
pipeline
rupture,
road
damage,
affecting
lives
building
damage
other
nodes
or
cut
→
traffic
paralysis,
technology
not
standardized
equipment
failure
effects
significant.
relevant
research
provide
knowledge
map
for
effectively
coping
identify
paths,
establish
strategies
emergency
response
reduction.
Language: Английский
Optimizing Metro-Based Logistics Hub Locations for Sustainable Urban Freight Distribution
Zixi Bai,
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Haonan Wang,
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Kai Yang
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et al.
Sustainability,
Journal Year:
2025,
Volume and Issue:
17(10), P. 4735 - 4735
Published: May 21, 2025
The
fast
growth
of
global
e-commerce
has
made
cargo
transportation
and
package
delivery
more
important
in
cities.
However,
the
limited
resources
for
urban
road
traffic
have
logistics
distribution
less
efficient.
movement
toward
green
sustainability,
energy
conservation,
emission
reduction
heightened
awareness
necessity
to
enhance
mobility
transportation.
This
work
further
investigates
optimization
hub
locations
based
on
subway
systems,
informed
by
research
modes
current
state
underground
logistics.
presents
two
unique
models:
a
metro-integrated
evaluation
model
location
model,
aimed
at
identifying
ideal
station
establishing
center
with
minimal
total
costs.
A
heuristic
method,
jellyfish
search
algorithm
(JS)
particular,
is
carefully
explained
order
find
good
answer
model.
From
an
empirical
perspective,
district
Chaoyang
Beijing,
China,
was
taken
as
case
simulate
progress
metro
city
hub,
minimizing
logistical
results
indicate
that
system
can
be
used
deliveries,
proposed
method
are
very
useful
improving
hubs
city.
Consequently,
when
facilities
allow,
we
should
fully
utilize
extensive
capacity
transit
efficient,
environmentally
friendly,
sustainable
advancement
Language: Английский
A Robust Optimization Model for Emergency Location Considering the Uncertainty and Correlation of Transportation Network Capacity
Baixu Jiang,
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Yan Song
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Systems,
Journal Year:
2024,
Volume and Issue:
12(8), P. 277 - 277
Published: July 31, 2024
Emergencies
often
lead
to
the
impairment
of
infrastructure
systems,
including
transportation
systems.
It
is
necessary
analyze
uncertainty
and
correlation
network
capacity
caused
by
emergencies,
aiming
at
problems
emergency
facilities’
location
matching
in
contexts.
This
study
introduces
novel
concepts,
such
as
flow
distribution
betweenness
centrality
(FD-BC)
transport
effect
coefficient
(TC-EC).
Furthermore,
we
introduce
ellipsoidal
set
characterize
uncertainties
capacity.
We
construct
a
multi-criteria
decision-making
(MCDM)
model
multi-strength
elitist
genetic
algorithm
(multi-SEGA)
ensure
lower
limit
between
demand
points
while
minimizing
costs.
By
designing
an
uncertain
scenario
example,
perturbation
ratio
level
on
robust
model.
The
following
results
were
drawn:
(1)
Indicators
FD-BC
TC-EC
effectively
indicated
importance
each
section
network.
(2)
optimal
value
model’s
objective
function
changed
more
significantly
increased.
(3)
After
reaching
certain
level,
with
became
conservative
than
box
set,
which
lacked
practical
significance.
research
guarantee
robustness
support
system
conditions.
Language: Английский
Modeling Resilience of Metro-Based Urban Underground Logistics System Based on Multi-Layer Interdependent Network
Sustainability,
Journal Year:
2024,
Volume and Issue:
16(22), P. 9892 - 9892
Published: Nov. 13, 2024
The
metro-based
underground
logistics
system
(M-ULS)
has
been
identified
as
an
effective
solution
to
urban
problems
resulting
from
the
expansion
of
freight
traffic.
However,
there
is
a
paucity
current
research
that
examines
resilience
M-ULS
in
context
unexpected
events
during
operations.
Therefore,
this
paper
presents
methodology
for
assessing
M-ULS.
method
considers
propagation
paths
various
failures
multi-layered,
interdependent
network
includes
topology,
functionality,
facilities,
and
information,
well
performance
indicators
based
on
flow
timeliness.
effectiveness
demonstrated
using
case
Nanjing
Metro.
results
show
type
disruption,
duration,
direction
train
travel
all
have
significant
impact
proposed
provides
scientific
basis
assessment
optimization
also
offers
new
insights
into
use
rail
transit
promote
sustainable
development
logistics.
Language: Английский