Transportation Research Record Journal of the Transportation Research Board,
Journal Year:
2024,
Volume and Issue:
unknown
Published: March 30, 2024
While
existing
literature
has
extensively
explored
the
impact
of
online
shopping
on
travel
behavior,
few
studies
have
undertaken
segmentation
analysis
to
uncover
hidden
behavioral
heterogeneity.
This
study
fills
this
gap
by
addressing
heterogeneity
and
identifying
distinct
shopper
segments
based
behaviors,
with
a
focus
product
types.
Data
collected
in
November
December
2021
from
1,747
shoppers
Florida
were
analyzed
using
Latent
Class
Analysis
(LCA)
covariates.
Sociodemographic
residential
characteristics,
COVID-19
influences,
attitudes,
perceptions
channel-specific
factors
served
as
active
inactive
covariates
predict
class
membership.
Our
model
identified
six
classes
shoppers,
short-distance
dual-channel
representing
largest
(28.4%)
exclusive
smallest
(6.2%).
Dual-channel
shopaholics,
overrepresented
Gen
Zers,
Millennials,
Blacks,
workers,
exhibited
high
average
monthly
vehicle
miles
traveled
(VMT)
across
all
types
strong
potential
for
complementary
behavior.
Conversely,
members
silent
generation,
those
who
live
alone,
no
vehicle,
do
not
enjoy
shopping,
demonstrated
substitutive
In
general,
single-channel
showed
lower
VMT
than
their
counterparts
These
findings
contribute
deeper
understanding
offering
insights
more
accurate
quantification
net
traffic
environmental
impacts
e-commerce.
Additionally,
they
provide
valuable
considerations
designing
segment-specific
policies
aimed
at
minimizing
maximizing
shopping.
Transport Policy,
Journal Year:
2024,
Volume and Issue:
150, P. 53 - 70
Published: March 4, 2024
Car-centred
development
adds
significantly
to
the
climate
change
threat
our
planet
faces.
Mobility-as-a-Service
(MaaS)
is
a
concept
looking
generate
modal
shift
via
digital
and
physical
integration
of
alternative
on-demand
transport
services.
Recent
research
raises
concerns,
however,
that
contrary
hype,
MaaS
may
result
in
unsustainable
travel
behaviour.
On
one
hand,
future
users
are
now
primarily
drivers
not
be
ready
away
from
their
cars,
while
on
other
hand
people
regularly
using
public
substitute
some
these
journeys
with
MaaS-enabled
car-sharing,
ride-sharing
ride-hailing
Herein,
we
study
effects
intentions
own
car
trips
car-centric
services
UK-
based
quantitative
survey.
We
use
Principal
Component
Analysis
Ordinal
Regression
Modelling
see
how
MaaS-related
perceptions
referring
Added
Value,
Car
Use
Convenience
Enjoyment,
Human
Element
Externalities,
Trust
Functionality,
Cost
Incentives,
Morality,
Enabling
Technology
Ownership
Necessity
affect
usage
intentions.
Our
results
highlight
some,
typically
less
discussed,
grey
areas
inform
design
policies,
including
service
disincentivitisation,
responsible
user
benefits,
rebranding
investment
prioritisation.
Transportation Research Part A Policy and Practice,
Journal Year:
2023,
Volume and Issue:
174, P. 103750 - 103750
Published: June 26, 2023
Mobility-as-a-Service
(MaaS)
provides
travelers
with
a
single
digital
travel
platform
that
integrates
information,
booking,
and
payment
considerable
discounts.
Existing
MaaS
studies
mainly
focus
on
commuters'
daily
mobility
instead
of
tourists'
during
their
stay
at
destinations.
However,
the
tourist
market
is
potential
but
neglected
market.
To
explore
preference
for
bundled
services,
this
research
examines
heterogeneity
tourist-specific
bundles
among
491
Taiwanese
tourists
by
using
latent
class
choice
model.
The
experiments
are
designed
seven
bundle
attributes,
including
public
transport,
shared
bike,
e-moped,
car,
shopping
discount,
attraction
ticket
discount
price.
Three
classes,
namely,
Skeptics,
Supporters,
Enthusiasts,
identified
based
upon
three
attitudinal
variables
(hedonic
motivation,
Attitude
toward
mobile
application
factor)
as
well
socioeconomic
characteristics.
results
provided
evidence
various
classes
in
Taiwan.
Class
profiles
scenario
analyses
pro-MaaS
propensity
were
conducted
to
provide
deeper
insights
into
variations.
Implications
recommendations
developing
more
customized
herein.
Frontiers in Psychology,
Journal Year:
2025,
Volume and Issue:
15
Published: Jan. 8, 2025
Mobility
as
a
Service
(MaaS)
integrates
various
modes
of
transportation,
provides
personalized
travel
services
for
travelers,
and
improves
the
efficiency
traditional
modes.
To
examine
mechanisms
underlying
impact
sudden
public
health
events
on
behavioral
intentions
to
use
MaaS
provide
theoretical
support
sustainable
development
MaaS,
this
research
investigates
Beijing
program
case.
A
total
630
questionnaires
were
collected.
Theoretical
model,
sourced
from
Unified
Theory
Acceptance
Use
Technology
(UTAUT)
is
employed
elucidate
influence
six
variables-performance
expectancy,
effort
social
influence,
ambiguity
tolerance,
perceived
threat,
policy
cognition-on
MaaS.
The
results
show
that
three
variables
UTAUT
positively
intention
there
significant
mediating
effect
cognition
relationship
between
these
use.
Travelers
with
high
level
tolerance
are
more
inclined
while
threat
reduces
intentions.
Multigroup
analysis
revealed
differences
in
Toleance,
among
groups.
findings
may
guidance
empirical
evidence
promotion
strategies
formulation
related
policies.
Journal of Public Transportation,
Journal Year:
2023,
Volume and Issue:
26, P. 100079 - 100079
Published: Dec. 19, 2023
Mobility
as
a
Service
(MaaS)
integrates
various
transport
modes
into
single
comprehensive
service;
thus,
decrease
in
the
inconvenience
of
using
multiple
mobility
services
is
expected.
This
research
focuses
on
students
Budapest
University
Technology
and
Economics
(BME)
aims
to
complete
background
study
MaaS,
which
offers
vision
how
future
MaaS
studies
could
be
designed
conducted.
The
work
investigates
influencing
factors
BME
students'
acceptance
MaaS.
preferences
are
categorized
two
groups
based
travel
captivity
usage
shared
services.
An
online
survey
was
conducted
where
total
ca.
700
valid
responses
were
collected.
Structural
equation
modeling
(SEM)
performed
examine
causal
relationship
between
variables.
identifies
effort
expectancy
most
influential
factor
that
affects
behavioral
intention
adopt
On
other
hand,
there
no
significant
effect
group
differences
acceptance,
except
for
individual
innovation
tech-savviness
regarding
mobility.
Conducting
with
samples
obtained
from
general
population
advised
thus
resolving
generalizability
issue
current
research.
European Transport Research Review,
Journal Year:
2024,
Volume and Issue:
16(1)
Published: Jan. 2, 2024
Abstract
Mobility
as
a
Service
(MaaS)
has
recently
gained
popularity
an
opportunity
to
encourage
more
sustainable
mobility
model
and
improve
urban
liveability.
Today,
it
is
still
uncertain
if
travellers
are
willing
uptake
MaaS
transform
their
habits.
In
the
paper,
we
explore
individuals’
behavioural
intention
based
on
survey
comprising
418
respondents
in
metropolitan
area
of
Randstad
(The
Netherlands).
The
application
Structural
Equation
Model
allows
uncover
series
explanatory
(attitudinal
personality)
factors
relevant
for
acceptance.
Then,
cluster
analysis
determines
four
profiles
relation
embrace
this
new
solution:
‘Short-duration
commuters’,
‘Active
travellers’,
‘Traditional
car-supporters’,
‘MaaS
admirers’.
Overall,
identify
three
main
barriers
potential
adoption
MaaS:
low
willingness
combine
different
modes
transport,
affinity
with
technology,
reliability
services.
We
also
recognise
that
environmental
concerns
seem
frustrate
innovativeness.
European Transport Research Review,
Journal Year:
2023,
Volume and Issue:
15(1)
Published: Oct. 23, 2023
Abstract
Mobility-as-a-Service
(MaaS)
system
is
regarded
as
one
of
the
emerging
solutions
to
offer
integrated,
seamless,
and
flexible
multi-modal
mobility
services
an
alternative
privately
owned
resources.
MaaS
expected
change
way
users
will
choose
their
modes
transport
reach
daily
activities,
how
service
providers
generate
profits,
cooperate,
compete.
To
successfully
deploy
intended
goals,
it
critical
develop
feasible
sustainable
models
that
capture
diverse
needs
customers
well
often
competing
objectives
providers.
This
paper
aims
provide
a
general
modelling
framework
descriptive
analysis
relevant
literature
relating
all
main
actors
in
ecosystem,
identify
discuss
factors
are
considered
relevant,
focusing
on
actor’s
decision-making
processes
correlations.
review
shows
large
variety
interaction
influencing
adoption
impact
forecasting
appeal.
It
also
observed
current
travel
behaviour
not
fully
capturing
choices
potential
users.
Recent
advancements
agent-based
simulation
discrete
choice
address
this
gap,
future
research
should
aim
direction.
Finally,
analyses
between
actors,
including
customers,
providers,
government,
Broker,
highlighting
complexity
process
comprising
ecosystem.
Therefore,
recommended
prioritise
exploring
these
areas.
Sustainability,
Journal Year:
2025,
Volume and Issue:
17(2), P. 551 - 551
Published: Jan. 13, 2025
Understanding
vehicle
travel
behavior
patterns
is
crucial
for
effectively
managing
urban
traffic
congestion
and
mitigating
the
associated
risks
excessive
emissions.
Existing
research
predominantly
focuses
on
commuting
patterns,
with
limited
attention
given
to
spatiotemporal
characteristics
of
other
behaviors,
sparse
investigation
into
emissions
these
patterns.
To
address
this
gap,
present
study
examines
various
their
emissions,
using
one
week
License
Plate
Recognition
(LPR)
data
from
megacity
expressway
network.
First,
we
classify
vehicles
different
modes
based
features
extracted
LPR
propose
a
scalable
mode
recognition
method
suitable
large-scale
applications.
We
then
assess
each
estimate
resulting
congestion.
The
findings
reveal
notable
differences
in
among
modes,
bimodal
distribution
influenced
by
temporal
rhythm
flow.
Furthermore,
although
commercial
constitute
only
one-third
total
population,
attributed
are
comparable
those
privately
owned
vehicles.
This
suggests
that
focusing
exclusively
may
underestimate
both
results
not
deepen
our
understanding
relationship
between
individual
but
also
support
optimization
personal
time
health
management,
providing
foundation
development
personalized
proactive
demand
management
strategies.
