Impact of the “Class B Infectious Disease Class B Management” Policy on the Passenger Volume of Urban Rail Transit: A Nationwide Interrupted Time Series Study
Mengchen Yang,
Yusong Zhu,
Xiang Ji
и другие.
Sustainability,
Год журнала:
2025,
Номер
17(6), С. 2365 - 2365
Опубликована: Март 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.
Язык: Английский
Capturing traffic state variation process: An analytical modeling approach
Transportation Research Part E Logistics and Transportation Review,
Год журнала:
2025,
Номер
198, С. 104119 - 104119
Опубликована: Апрель 18, 2025
Язык: Английский
An Evaluation of the Long-Term Effects of the COVID-19 Pandemic on Public Transit Use in the United States
Transport Policy,
Год журнала:
2025,
Номер
unknown
Опубликована: Апрель 1, 2025
Язык: Английский
Social and spatial disparities in individuals’ mobility response time to COVID-19: A big data analysis incorporating changepoint detection and accelerated failure time models
Transportation Research Part A Policy and Practice,
Год журнала:
2024,
Номер
184, С. 104089 - 104089
Опубликована: Май 2, 2024
Язык: Английский
Impact of COVID-19 pandemic on characteristic of bike-sharing systems near metro and bus stations
International Journal of Urban Sciences,
Год журнала:
2024,
Номер
unknown, С. 1 - 19
Опубликована: Июль 16, 2024
The
COVID-19
pandemic
has
had
a
significant
impact
on
various
modes
of
mobility
as
it
spread
rapidly
worldwide,
leading
to
changes
in
the
landscape
transportation.
This
research
focuses
comparing
usage
bike-sharing
and
shifts
cycling
behaviour
before
(2019)
after
(2020)
outbreak
Daejeon,
South
Korea.
Additionally,
examines
role
supplementary
mode
transport
for
public
transportation
systems
such
buses
metros
during
these
periods.
Our
analysis
revealed
that
become
more
prominent
pandemic.
We
developed
model
calculate
demand
ratio
within
catchment
areas
bus
metro
stations
assess
its
mode.
results
indicate
an
increase
some
dockless
bike
by
0.22%
7.29%,
respectively.
also
conducted
correlation
using
Point
Interest
(POI)
data
understand
factors
influencing
usage.
findings
suggest
travel
behaviours
have
shifted
towards
commercial
recreational
destinations.
Given
cost-effectiveness
flexibility,
could
be
sustainable
option
urban
mobility.
Therefore,
city
planners
Daejeon
can
use
this
study
promote
viable
alternatives.
Язык: Английский