The Open Transportation Journal,
Год журнала:
2024,
Номер
18(1)
Опубликована: Сен. 11, 2024
Background
Electric
vehicles
(EVs)
are
important
as
they
decrease
air
pollution,
lessen
reliance
on
fossil
fuels,
and
significantly
contribute
to
cutting
greenhouse
gas
emissions.
The
use
of
EVs
in
promoting
a
sustainable
life
reducing
the
harmful
effects
climate
change
is
very
beneficial
environment
public
health.
Objective
purpose
this
research
evaluate
potential
challenges
adoption
electric
Iran.
To
end,
set
categorized,
interrelation
significance
these
examined.
Methods
categorize
adopting
EVs,
exploratory
factor
analysis
used,
relationship
between
them
rank
based
their
importance,
DEMATEL
(Decision
Making
Trial
Evaluation
Laboratory)
method,
which
Multi-Criteria
Decision-Making
(MCDM)
technique,
employed.
Results
results
statistical
show
that
can
be
divided
into
three
categories:
social,
economic,
technological.
Furthermore,
method
indicate
most
impactful
follows:
two
social
challenges,
“Lack
government
support
promote
EVs”
willingness
resistance
new
EV
technologies,”
one
technological
challenge,
“Immature
advancement
battery
technologies.”
Conclusion
This
provides
insights
evaluating
vehicles.
findings
assist
decision-makers
developing
transportation
understanding
relationships
significance.
study
serves
foundation
for
policymakers
industry
stakeholders
navigate
through
complex
landscape
vehicle
adoption.
Results in Engineering,
Год журнала:
2024,
Номер
22, С. 102272 - 102272
Опубликована: Май 17, 2024
An
adaptation
to
electric
mobility
quickens
waste
management
tasks
for
recyclers
end-to-end
processing
of
marketed
vehicle
batteries.
Especially
lithium-ion
batteries
play
a
prominent
role
in
electrifying
the
world
e-transport
technology
innovation.
This
research
offers
multi-attribute
decision-making
(MADM)
structure
finding
best
performance
e-vehicle
recycling
techniques.
The
structured
algorithm
combines
an
advanced
stratified
MADM
strategy
with
e-transportation
optimal
evaluates
results
qualitative
attributes
and
alternatives
using
weighted-ranking
approach.
importance
is
calculated
blending
dual
objective-weighted
approaches:
entropy
CILOS
methods,
viz.,
aggregated
IDOCRIW
ranking
determined
through
COCOSO
method
hesitation
environment.
q-rung
orthopair
picture
fuzzy
set
(q-ROPFS)
used
cope
uncertainty
vagueness
decision
analysis.
feasibility
robustness
suggested
were
validated
different
methods
by
altering
crucial
ranking-dependent
parameters
problem.
World Electric Vehicle Journal,
Год журнала:
2025,
Номер
16(4), С. 194 - 194
Опубликована: Март 26, 2025
Recently,
the
rapid
increase
in
adoption
of
electric
vehicles
(EVs)
has
been
driven
by
considerable
technological
advancements
and
a
growing
focus
on
environmental
sustainability.
As
consumers
governments
increasingly
recognize
EVs
as
viable
alternative
to
traditional
internal
combustion
engine
vehicles,
demand
for
reliable
accessible
charging
infrastructure
surged.
However,
establishing
robust
network
stations
is
no
longer
crucial
only
fulfill
demands
EV
proprietors
but
also
relieve
range
anxiety
improve
user
convenience,
thereby
facilitating
wider
adoption.
This
paper
provides
comprehensive
global
analysis
station
infrastructure,
exploring
international
standards
regulations,
various
modes,
key
parameters
leading
importance
RE
deployment
ES
solutions.
Frontiers in Applied Mathematics and Statistics,
Год журнала:
2024,
Номер
10
Опубликована: Окт. 24, 2024
The
Circular
Economy
of
the
Automotive
Industry’s
Sustainable
Supply
Chain
in
Case
Lithium-Ion
Batteries
is
pioneering
environmental
protection
and
ecological
resource
utilization.
In
addition
to
solving
problems,
this
method
provides
economic
benefits
by
reducing
need
for
raw
materials
lowering
manufacturing
costs.
However,
introducing
a
circular
economy
approach
lithium-ion
battery
supply
chain
has
numerous
risks
challenges.
This
study
addresses
these
challenges
crafting
framework
that
encapsulates
involved.
It
identifies
evolving
strategies
might
bring
through
an
integrated
Gray
Delphi–DEMATEL–ANP
method.
Furthermore,
work
introduces
Degree
Possibility
unveil
worst-case
scenarios
risk
analysis
extends
it
into
zero-sum
Game
Theory.
then
formulates
improved
game
model
determine
optimal
mitigating
risks.
numerical
reveals
that,
according
proposed
methodology,
Environmental
Pollution
Risk
emerges
as
most
critical,
with
definite
weight
0.1525.
followed
Support
Program
Deficiency
at
0.1452
Improper
Waste
Management
0.1372.
Heliyon,
Год журнала:
2024,
Номер
10(22), С. e40354 - e40354
Опубликована: Ноя. 1, 2024
Sustainable
cities
are
crucial
in
establishing
effective
waste
management
systems
and
minimizing
environmental
pollution.
For
to
be
sustainable,
different
aspects
need
considered,
such
as
technological
development,
clean
energy
usage,
efficiency.
However,
taking
the
most
important
actions
is
essential
because
of
very
high
cost
that
will
arise,
this
situation
causes
countries
have
budget
deficit
problems.
In
other
words,
there
a
significant
for
new
study
makes
priority
analysis
with
respect
circular
economy-based
criteria
smart
cities.
Accordingly,
aims
identify
factors
improve
sustainable
using
novel
decision-making
model.
First,
determinants
were
evaluated
trial
evaluation
laboratory
(DEMATEL)
technique
based
on
quantum
spherical
fuzzy
sets
(QASH)
facial
expressions
decision-makers.
Second,
investment
choices
ranked
according
order
preference
by
similarity
ideal
solution
(TOPSIS)
approach.
addition,
comparative
ranking
results
constructed
together
sensitivity
analysis.
The
extended
VIseKriterijumska
Optimizacija
I
Kompromisno
Resenje
(VIKOR)
compared
TOPSIS
their
results.
main
contribution
appropriate
strategies
determined
an
original
methodology
A
developed
name
neuro
decision-making.
According
analysis,
findings
found
reliable
relevant.
Resource
efficiency
critical
factor
improving
Constructing
buildings
strategy
increasing
Necessary
should
taken
minimize
unconscious
water
use.
New
developments
quickly
adapted
businesses.
way,
it
would
possible
perform
same
work
amount
less
water.
purpose,
both
provide
necessary
training
emphasize
importance
these
issues
television
advertisements.
International Journal of Fuzzy Systems,
Год журнала:
2024,
Номер
unknown
Опубликована: Окт. 7, 2024
In
the
contemporary
era
of
technological
revolution,
intersection
fuzzy
logic,
big
data
analytics,
and
computational
intelligence
has
emerged
as
a
vibrant
promising
research
frontier.
This
special
issue
on
"Fuzzy
Big
Data-Driven
Computational
Intelligence
Models
Applications"
aims
to
provide
comprehensive
overview
latest
advancements
in
this
exciting
field.
