The impact of pandemic experiences on future similar situations: analysis of latent variables and trip purposes in ride-hailing choice
Transportation Planning and Technology,
Journal Year:
2025,
Volume and Issue:
unknown, P. 1 - 20
Published: Feb. 3, 2025
Due
to
the
experience
and
knowledge
of
individuals
since
COVID-19,
this
study
aims
how
people
would
choose
ride-hailing
for
different
trip
purposes
under
similar
conditions
in
future.
Data
was
collected
through
a
stated
preference
questionnaire
choice
is
then
analyzed
separately
daily,
mandatory,
discretionary
trips
using
three
binary
logit
models.
The
importance
variables
related
health
concerns
like
Perceived
Threats
evident
all
Results
indicate
that
who
prioritize
their
families
are
less
likely
use
these
services
both
on
mandatory
trips.
Additionally,
systems
preferred
by
students
as
well
women
shopping
trips,
while
with
high
incomes
do
not
them
work
findings
suggest
companies
offering
should
focus
more
measures
increase
usage
times
crisis.
Language: Английский
Predicting preventive behaviors in urban leisure trips during future pandemics: an integration of the health belief model and VBN theory
Transportation Planning and Technology,
Journal Year:
2025,
Volume and Issue:
unknown, P. 1 - 31
Published: April 10, 2025
Language: Английский
An Impact Assessment of Cordon Pricing Relaxation on Modal Shift During the COVID-19 Pandemic
Transportation Planning and Technology,
Journal Year:
2024,
Volume and Issue:
unknown, P. 1 - 18
Published: Oct. 20, 2024
The
COVID-19
pandemic
brought
significant
disruptions
to
transportation
patterns
worldwide,
with
a
notable
increase
in
Private
Vehicle
(PV)
usage.
Many
studies
have
focused
on
travel
restrictions,
while
neglecting
consider
potential
changes
transportation-related
policies
implemented
during
that
may
improved
public
health.
present
study
explores
the
motivations
for
modal
shifts
PVs
and
tries
analyze
which
of
risks
exposure
modifications
has
caused
these
modifications.
Focusing
case
Tehran,
Iran,
where
cordon
pricing
was
relaxed
pandemic,
collected
data
through
online
paper-based
surveys
from
1475
respondents.
Binary
logit
models
were
employed
understand
impact
destination
location,
residency
area,
trip
purpose,
frequency,
vehicle
characteristics
shift
behavior.
In
addition
as
primary
reason
shift,
respondents
also
identified
relaxation
restrictions
factor
increased
utility
PVs.
study's
findings
contribute
better
understanding
dynamics
behavior
pandemics,
guiding
policymakers
devising
effective
strategies
address
both
health
concerns
traffic
conditions.
Language: Английский