World Electric Vehicle Journal,
Год журнала:
2021,
Номер
12(4), С. 240 - 240
Опубликована: Ноя. 12, 2021
The
emergence
of
electric
vehicles
(EV)
is
inevitable.
In
Indonesia,
EVs
in
various
forms
have
been
introduced
to
the
market.
However,
adoption
EV
Indonesian
market
still
negligible.
purpose
this
paper
make
an
early
prediction
consumers’
purchase
intentions
towards
EV,
particularly
battery
(BEV),
Indonesia.
A
multi-criteria
decision
model
based
on
analytic
network
process
(ANP)
approach
has
proposed.
There
are
several
main
criteria
used
explain
purchase/don’t
BEV,
namely
functionality,
emotion,
cost
ownership,
and
car
identity.
Through
a
series
pairwise
comparisons
involving
number
target
customers
senior
level
professionals,
their
BEV
predicted.
results
study
show
that
these
wealthy,
highly
educated
consumers
moderate
preference
purchasing
BEV.
Their
intention
influenced
by
as
follows:
emotion
(42.64%),
functionality
(25.94%),
identity
(21.87%),
ownership
(9.55%).
Even
though
invited
do
not
represent
mass
market,
findings
could
help
makers
Indonesia
choose
who
adopters
find
product-market
fit
order
accelerate
vehicles.
Energies,
Год журнала:
2022,
Номер
15(9), С. 3078 - 3078
Опубликована: Апрель 22, 2022
Urban
e-mobility,
seen
as
a
part
of
complex
and
multidimensional
European
Green
Deal
plan,
is
essential
for
cities.
However,
it
cannot
be
implemented
without
common
social
commitment
accompanied
by
shared,
strong
belief
in
its
advantages.
Even
if
urban
authorities
central
governments
would
encourage
their
citizens
to
buy
or
share
an
electric
vehicle
(EV),
the
shift
EV
will
not
significant
people
convinced
that
idea
becoming
zero-emission
economically
viable
rational
them
privately.
This
especially
true
important
countries
like
Poland—which
classified
“EV
readiness
straggler”.
The
main
purpose
this
study
develop
robust
forecasting
model
with
aid
advanced
machine
learning
methods.
Based
on
survey
conducted,
we
identified
factors
useful
predicting
consumer
behaviour
terms
willingness
purchase
EV.
proposed
machine-learning
tool
(specifically,
Random
Forest
algorithm)
allow
automotive
companies
more
effectively
target
supporting
promulgation
individual
e-mobility.
Transportation Letters,
Год журнала:
2021,
Номер
14(9), С. 1031 - 1042
Опубликована: Окт. 11, 2021
Human
activity
has
caused
an
increase
in
greenhouse
gas
emissions
–
the
main
cause
of
major
changes
environment.
The
transport
sector
contributes
more
than
a
quarter
these
emissions.
There
are
efforts,
including
electrification
sector,
underway
to
reduce
Ghana,
furtherance
intends
introduce
electric
vehicles
help
emissions;
but
there
is
no
research
understand
factors
that
influence
consumers’
vehicle
purchase
intentions.
To
explain
intentions,
expanded
form
Theory
Planned
Behavior
(TPB)
was
used.
Descriptive
statistics
used
analyze
demographic
items.
constructs
TPB
were
analyzed
measurement
model
and
structural
using
AMOS
23.
models
satisfied
reliability,
validity,
fit
requirements.
Factors
which
intentions
have
been
identified
recommendations
given.
Transport Policy,
Год журнала:
2023,
Номер
146, С. 227 - 240
Опубликована: Дек. 4, 2023
Electric
vehicles
(EVs)
play
a
pivotal
role
in
advancing
transport
electrification,
crucial
step
towards
achieving
net-zero
emission
economy
and
facilitating
decarbonization.
This
study
presents
groundbreaking
evidence
to
systematically
explore
the
impact
of
EV
uptake
on
green
development
China,
using
35
national
centre
cities
from
2010
2019.
The
empirical
outcomes
uncover
that
contributes
significantly
development,
irrespective
procedures
applied.
Further
analyses
demonstrate
local
governments'
tax
revenue
competition
inhibit
confirming
"race
bottom"
effect.
competition,
when
coupled
with
increasing
adoption,
results
pronounced
negative
externalities
for
sustainable
mainly
via
overcrowding
Reinforcing
these
findings,
panel
vector
autoregressive
model
provides
further
validation.
not
only
underscores
benefits
EVs
but
also
highlights
nuanced
challenges
posed
by
government
dynamics
quest
sustainability.
Sustainability,
Год журнала:
2023,
Номер
15(4), С. 3787 - 3787
Опубликована: Фев. 19, 2023
With
increasing
global
warming,
environmental
protection
and
green
energy
have
become
hotly
discussed
issues
recently.
Countries
proposed
a
net-zero
carbon
emission
path,
among
which
low-carbon
transportation
has
been
listed
as
the
primary
goal
of
each
country.
In
Taiwan,
highest
density
motorcycles
in
Asia,
electric
are
an
environmentally
friendly
mobility
solution
that
enjoys
greater
advantages
for
development
because
their
eco-friendly
energy-saving
nature
context
protection,
conservation,
reduction,
sharing
economies.
This
study
applies
technology
acceptance
model
incorporates
concerns,
value
propositions,
government
policies
variables
to
explore
behavioral
intentions
Taiwan’s
Generation
Z
toward
using
motorcycles.
A
total
391
questionnaires
were
collected,
correlation
between
was
analyzed
partial
least
squares
structural
equation
modeling
(PLS-SEM).
The
revealed
that:
(1)
consumers’
perceived
usefulness
ease
use
positively
influence
attitudes
motorcycles;
(2)
concerns
do
not
(3)
motorcycles,
above
findings
will
theoretical
practical
implications
terms
academic
reference
motorcycle
industry.
