Research Square (Research Square),
Год журнала:
2023,
Номер
unknown
Опубликована: Авг. 23, 2023
Abstract
The
COVID-19
pandemic
has
significantly
impacted
the
transit
market
leading
to
ridership
loss
and
service
cuts.
Most
of
post-pandemic
literature
focused
on
how
attract
those
who
stopped
using
services,
however
little
attention
been
given
rider
profiles
have
changed.
To
address
this
gap,
we
examine
2019
2022
data
regarding
commuters
from
Montréal,
Canada.
We
apply
factor
k-means
cluster
analyses
derive
segments
at
both
points
in
time
considering
satisfaction
levels,
telecommuting
rates,
frequency
use.
build
upon
these
report
overall
mode
group-level
changes
market.
Our
segmentation
reveals
that
captive,
captive-by-choice,
choice
riders
still
exist
current
public
However,
share
groups
proportion
captive
increased
while
captive-by-choice
shrunk
size.
Moreover,
become
mostly
composed
infrequent
higher
rates
telecommuting.
further
explore
trends
by
commute
(i.e.,
bus
only,
metro
users).
findings
research
can
be
interest
practitioners
policymakers
as
they
shed
light
evolution
perceptions
behaviours
before
after
pandemic.
Cities,
Год журнала:
2024,
Номер
151, С. 105078 - 105078
Опубликована: Май 10, 2024
The
restrictions
imposed
during
the
COVID-19
pandemic
have
led
to
significant
changes
in
travel
behaviour
and
public
activities,
they
might
contributed
residential
location
choices.
However,
research
examining
relationship
between
choice
is
very
limited.
To
that
end,
this
paper
focuses
on
how
pandemic-induced
work
patterns,
preferences
daily
activity
patterns
altered
potentially,
relocation
trends.
main
determinants
of
been
established
literature
over
past
30
years:
physical
attributes
dwelling;
surrounding
built
environment;
affordability;
accessibility
transportation,
workplaces,
services.
each
these
are
prioritised
differently
depending
circumstances.
Therefore,
exploring
priorities
shifted
after
can
pave
way
for
understanding
shift
as
a
consequence.
From
review,
key
findings
include
decreasing
importance
transport
workplace
pandemic.
Firstly,
teleworking
becoming
more
prevalent
within
office
jobs
than
before
pandemic,
leading
less
frequent
trips
conventional
reducing
need
live
commutable
distance
workplace.
Secondly,
other
activities
likewise
become
due
either
remote
alternatives
(e.g.,
online
shopping)
or
shifting
towards
services
closer
home,
general.
Another
consequence
people
staying
at
home
longer
before,
thus
increasing
desirable
dwelling
such
larger
house
size
wider
green
space.
Since
generally
affordable
areas
accessible
services,
may
subsequently
lead
migrations
lower
population
density,
potentially
decentralising
urban
areas.
International Journal of Transportation Science and Technology,
Год журнала:
2024,
Номер
unknown
Опубликована: Июнь 1, 2024
Amidst
a
global
decline
in
bus
ridership,
this
study
pioneers
longitudinal
approach
to
understanding
individual-level
transitions
and
churning
urban
systems.
Utilizing
novel
framework
that
leverages
smart
card
data,
we
construct
analyze
user
behavior
transition
matrices
over
time,
employing
Markov
processes
the
Chapman-Kolmogorov
Equation.
Our
analysis,
derived
from
22-month
dataset
Shenzhen,
reveals
two-stage
process:
users
first
decrease
travel
frequency
before
transitioning
irregular
patterns.
Crucially,
introduces
targeted
retention
policies,
including
tiered
usage
incentives
personalized
communication
strategies,
aimed
at
different
stages
of
lifecycle.
By
offering
free
subsequent
trips
travelers
combining
policy
approaches
for
high
risk
churning,
provide
actionable
insights
transit
operators
counter
trend
declining
ridership.
Transport Reviews,
Год журнала:
2023,
Номер
44(2), С. 434 - 460
Опубликована: Дек. 22, 2023
Public
transport
(PT)
usage
was
severely
impacted
during
the
COVID-19
pandemic,
resulting
in
up
to
a
90%
reduction
many
cities
2020.
Numerous
studies
have
been
conducted
since
then
determine
relationship
between
individual-level
factors
(such
as
gender,
attitudes,
etc.)
and
decrease
PT
pandemic.
Despite
evidence
provided,
findings
are
dispersed,
for
several
contradictory,
making
it
challenging
reach
any
generalised
conclusion.
Furthermore,
comprehensive
comparison
of
effect
sizes
among
travellers'
affecting
use
this
period
is
yet
be
compiled.
This
paper
aims
address
these
gaps
by
systematically
reviewing
existing
synthesising
through
meta-analysis.
We
first
identified
36
that
statistically
assessed
contribution
15
on
By
merging
empirical
those
studies,
direction
association
analysed.
Then,
after
selecting
comparable
meta-analyses
were
each
factor
estimate
corresponding
pooled
sizes.
The
meta-analysis
established
car
availability,
teleworking
opportunities
high
educational
level
contributed
most
reducing
These
increased
odds
compared
with
pre-pandemic
about
three
times.
Factors
such
risk
perception,
income
health
had
moderate
decision
stop
using
PT.
habits,
travel
distance
physical
accessibility
also
influenced
Geographical
location
pandemic
explained
part
heterogeneity
found.
provided
study
can
help
policy-makers
understand
impacts
reduce
future
pandemics/epidemics
guide
public
policies
accordingly.
Abstract
The
COVID-19
pandemic
has
significantly
impacted
the
transit
market
leading
to
ridership
loss
and
service
cuts.
Most
of
post-pandemic
literature
focused
on
how
attract
those
who
stopped
using
services,
however
little
attention
been
given
rider
profiles
have
changed.
To
address
this
gap,
we
examine
2019
2022
data
regarding
commuters
from
Montréal,
Canada.
We
apply
factor
k-means
cluster
analyses
derive
segments
at
both
points
in
time
considering
satisfaction
levels,
telecommuting
rates,
frequency
use.
build
upon
these
report
overall
mode
group-level
changes
market.
Our
segmentation
reveals
that
captive,
captive-by-choice,
choice
riders
still
exist
current
public
However,
share
groups
proportion
captive
increased
while
captive-by-choice
shrunk
size.
Moreover,
become
mostly
composed
infrequent
higher
rates
telecommuting.
further
explore
trends
by
commute
(i.e.,
bus
only,
metro
users).
findings
research
can
be
interest
practitioners
policymakers
as
they
shed
light
evolution
perceptions
behaviours
before
after
pandemic.
