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.
Urban Planning and Transport Research,
Journal Year:
2024,
Volume and Issue:
13(1)
Published: Dec. 7, 2024
Mobility-as-a-Service
(MaaS)
is
typically
framed
as
a
tool
that
offers
multi-modal
transportation
solutions
through
an
integrated
digital
interface,
playing
pivotal
role
in
supporting
the
sustainable
transition
within
Smart
Cities.
However,
its
applications
and
user
acceptance
are
often
assessed
from
narrow,
mobility-focused
perspective,
which
tends
to
reduce
MaaS
experience
purely
travel-related
service
–
thus
overlooking
broader
potential.
Users'
preferences,
willingness-to-adopt,
willingness-to-pay
commonly
evaluated
based
on
factors
such
performance,
fare
schemes,
convenience.
when
considering
deeper
mindset
behavioral
shifts
required
for
adoption
of
more
modes,
tools
implemented
must
not
only
be
functional
but
they
also
resonate
with
how
users
perceive
interact
them.
These
interactions
crucial
success
widespread
solutions.
This
paper
reviews
primary
methodologies
used
evaluate
acceptance,
highlights
their
strengths
limitations,
explores
platforms
facilitating
shift
toward
mobility.
The
main
focus
will
represented
by
potential
benefits
successful
implementation
can
arise
optimizing
users'
experiences,
particularly
integration
nudging
rewarding
systems
designed
influence
individual
behavior.
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.
