Land,
Journal Year:
2024,
Volume and Issue:
13(11), P. 1887 - 1887
Published: Nov. 11, 2024
The
COVID-19
pandemic
and
similar
public
health
emergencies
have
significantly
impacted
global
travel
patterns.
Analyzing
the
recovery
characteristics
of
subway
station-level
passenger
flow
during
phase
can
offer
unique
insights
into
transportation
operations
guide
practical
planning
efforts.
This
pioneering
study
constructs
a
resilience
(PFRR)
index
rapid
using
AFC
system
swipe
data.
Additionally,
it
develops
an
analytical
framework
based
on
multiscale
geographically
weighted
regression
(MGWR)
model,
improved
gray
wolf
optimization
with
Levy
flight
(LGWO),
light
gradient
boosting
machine
(LightGBM)
to
analyze
weekdays
weekends
in
relation
land
use-related
built
environment
types.
Finally,
SHAP
attribution
analysis
is
used
nonlinear
relationships
between
variables
PFRR
index.
results
show
significant
spatial
heterogeneity
impact
commercial,
recreational,
residential
land,
as
well
POI
(points
interest)
leisure
shopping
PFRR.
On
weekdays,
most
relevant
for
are
enterprises
numbers.
In
contrast,
contribution
affecting
weekend
more
balanced,
reflecting
non-essential
weekends.
Most
exhibit
associations
values.
proposed
shows
performance
advantages
over
other
baseline
models.
provides
surrounding
development
layouts
under
emergencies.
Sustainability,
Journal Year:
2025,
Volume and Issue:
17(6), P. 2365 - 2365
Published: March 7, 2025
Between
2019
and
2022,
passenger
volume
on
China’s
urban
rail
transit
system
sharply
declined
due
to
strict
COVID-19
control
measures.
On
8
January
2023,
China
implemented
the
“Class
B
infectious
disease
Class
management”
policy,
marking
a
significant
shift
towards
more
relaxed
approach
epidemic
control.
The
main
objective
of
this
study
is
evaluate
immediate
lasting
effects
policy
volume.
We
used
interrupted
time
series
(ITS),
combined
with
quasi-Poisson
regression
models
counterfactual
analysis,
analyze
monthly
operation
data
covering
period
from
2021
June
2024
for
42
cities.
Our
analysis
shows
that,
relative
expected
trend
without
any
intervention,
average
increased
by
approximately
101.34%
after
policy’s
implementation,
observed
in
41
cities
33
concludes
that
has
generally
promoted
nationwide
recovery
volume,
although
heterogeneity
across
This
result
indicates
reduction
travel
restrictions
restoration
public
safety,
resulting
relaxation
prevention
measures,
contributed
overall
transit.
not
only
provides
innovative
methodological
insights
but
also
offers
valuable
guidance
developing
effective
planning
strategies
operational
measures
post-pandemic
era.
Proceedings of the Institution of Civil Engineers - Transport,
Journal Year:
2025,
Volume and Issue:
unknown, P. 1 - 16
Published: May 14, 2025
It
is
essential
to
understand
the
impact
of
built
environment
on
origin–destination
(OD)
ridership,
as
this
understanding
crucial
for
optimisation
urban
rail
systems
and
advancement
transit-oriented
development
(TOD)
strategies.
This
study
utilises
an
eXtreme
gradient
boosting
(XGBoost)
model
analyse
non-linear
relationships
across
16
factors,
including
population
density,
land
use
transportation
access,
influencing
OD
flows
weekdays
weekends.
The
analysis,
employing
Tianjin
Metro
a
case
study,
yielded
three
key
findings.
factors
at
origin
destination
stations
exhibit
temporal
variations.
During
weekday
morning
peak
hours,
explanatory
variables
hold
greater
importance
than
those
stations,
while
opposite
true
evening
peaks
demonstrated
that
connectivity
are
among
most
significant
with
score
3.50%
both
thereby
underscoring
their
substantial
ridership
attraction.
Non-linear
interactions
reveal
threshold
effects,
emphasising
complex
relationship
between
characteristics
flows.
insights
derived
from
analysis
offer
practical
guidance
planners,
informing
design
efficient
integration
TOD
Land,
Journal Year:
2025,
Volume and Issue:
14(5), P. 1102 - 1102
Published: May 19, 2025
The
spread
of
the
coronavirus
pandemic
led
to
significant
changes
in
bus-usage
patterns
urban
areas
worldwide.
Researchers
have
frequently
employed
linear
and
nonlinear
models
studies.
However,
existing
assume
that
each
variable
affects
a
uniform
range,
limiting
their
ability
capture
localized
pattern
changes.
This
study
applies
multiscale
geographically
weighted
regression
model
reflecting
characteristics
variables
address
these
limitations.
Linear
are
constrained
by
inability
account
adequately
for
complex
dynamics
real-world
bus
usage.
research
introduces
methods
overcome
constraints.
geographical
random
forest
method,
an
advanced
variant
model,
integrates
spatial
concepts
explain
local
more
effectively
than
traditional
machine
learning
techniques.
revealed
four
(i.e.,
population
size,
over-65
ratio,
number
students,
land-use
complexity).
In
contrast,
demonstrated
diverse
movement
influenced
several
factors,
indicating
shift
toward
new
public
transportation
patterns.
Leisure Studies,
Journal Year:
2024,
Volume and Issue:
unknown, P. 1 - 15
Published: Feb. 12, 2024
This
study
aimed
to
determine
the
geospatial
distribution
of
Virtual
Leisure
(VL)
users
and
impact
VL
on
users'
reality
leisure
behaviours.
The
empirical
analysis
was
conducted
using
cell
phone
usage
data
collected
from
Unicom
platform
in
Wuhan,
China
(N=
2.84×106).
information
duration
virtual
APP
usage,
their
place
residence,
frequency
visits
spaces.
Our
research
suggests
that
individuals
residing
suburban
areas,
situated
at
a
distance
urban
centres,
are
more
likely
use
compared
those
living
central
city,
although
levels
remain
high
latter.
Furthermore,
our
findings
also
indicate
individual's
behaviour
an
individual
varies
according
type
activity,
which
could
either
act
as
substitute
or
facilitator.
can
inform
discussion
geography
interaction
real
spaces,
intervention
