Land,
Journal Year:
2024,
Volume and Issue:
13(12), P. 2094 - 2094
Published: Dec. 4, 2024
Constructing
high-speed
railways
(HSRs)
is
critical
for
developing
countries
to
stimulate
economic
growth
and
urbanization.
This
study
focuses
on
the
Lao
section
of
China–Laos
Railway
(CLR)
employs
explicitly
spatial
remote
sensing
images
investigate
urban
development
surrounding
HSR
stations.
Data-driven
machine
learning
causal
inference
approaches
are
integrated
quantify
spatial–temporal
evolution
discover
its
driving
factors.
The
results
suggest
that
CLR
has
had
positive
spillover
effects
space.
These
have
exhibited
a
distance
attenuation
pattern,
reflecting
obvious
in
2D
rather
than
3D
Meanwhile,
stations
adjacent
city
centers
as
well
functional
characteristics,
such
land
use
patterns
industrialization
level,
significantly
influences
development.
Specifically,
industrial-dominated
cities,
changes
been
most
significant
under
influence
HSR.
Change
related
industrial
residential
shown
expansion
increased
utilization
efficiency,
urbanization
primary
drivers
demand
findings
offer
valuable
insights
references
nations
formulate
implement
management
policies
initiatives
Mathematics,
Journal Year:
2024,
Volume and Issue:
12(23), P. 3797 - 3797
Published: Nov. 30, 2024
The
purpose
of
this
study
is
to
solve
the
problem
low
load
factor
and
profit
margin
in
point-to-point
transportation
international
freight
trains
through
assembly
organization
mode.
A
bi-objective
location-routing
optimization
model
constructed
optimize
problems,
such
as
location
center,
route
assembly,
frequency
trains,
number
formations.
objectives
are
minimize
total
comprehensive
cost
maximize
average
satisfaction
shippers.
Considering
impact
blockchain
technology,
proportion
customs
clearance
time
reduction
after
implementation,
fee
technology
introduced
into
model.
case
based
on
railroad
data
for
2022.
In
case,
43
stations
Indo-China
Peninsula
selected
origin
stations,
two
Chinese
designated
terminal
stations.
An
improved
NSGA-II
algorithm
(ANSGAII-OD)
proposed
resolve
This
opposition-based
learning
its
dominant
strength.
indicates
that
advantageous
compared
with
direct
transportation.
Moreover,
reduced
by
19.77%.
Furthermore,
can
effectively
reduce
costs
improve
efficiency.
After
implementation
8.10%,
whereas
shippers
increased
10.35%.
Land,
Journal Year:
2024,
Volume and Issue:
13(12), P. 2094 - 2094
Published: Dec. 4, 2024
Constructing
high-speed
railways
(HSRs)
is
critical
for
developing
countries
to
stimulate
economic
growth
and
urbanization.
This
study
focuses
on
the
Lao
section
of
China–Laos
Railway
(CLR)
employs
explicitly
spatial
remote
sensing
images
investigate
urban
development
surrounding
HSR
stations.
Data-driven
machine
learning
causal
inference
approaches
are
integrated
quantify
spatial–temporal
evolution
discover
its
driving
factors.
The
results
suggest
that
CLR
has
had
positive
spillover
effects
space.
These
have
exhibited
a
distance
attenuation
pattern,
reflecting
obvious
in
2D
rather
than
3D
Meanwhile,
stations
adjacent
city
centers
as
well
functional
characteristics,
such
land
use
patterns
industrialization
level,
significantly
influences
development.
Specifically,
industrial-dominated
cities,
changes
been
most
significant
under
influence
HSR.
Change
related
industrial
residential
shown
expansion
increased
utilization
efficiency,
urbanization
primary
drivers
demand
findings
offer
valuable
insights
references
nations
formulate
implement
management
policies
initiatives
