There
have
recently
been
intensive
efforts
aimed
at
addressing
the
challenges
of
environmental
degradation
and
climate
change
through
applied
innovative
solutions
AI,
IoT,
Big
Data.
Given
synergistic
potential
these
advanced
technologies,
their
convergence
is
being
embraced
leveraged
by
smart
cities
in
an
attempt
to
make
progress
toward
reaching
targets
sustainable
development
goals
under
what
has
termed
"environmentally
cities."
This
new
paradigm
urbanism
represents
a
significant
research
gap
itself.
To
fill
this
gap,
study
explores
key
trends
driving
factors
environmentally
maps
thematic
evolution.
Further,
it
examines
fragmentation,
amalgamation,
transition
underlying
models
as
well
converging
Data
technologies
solutions.
It
employs
combines
bibliometric
analysis
evidence
synthesis
methods.
A
total
2,574
documents
were
collected
from
Web
Science
database
compartmentalized
into
three
sub-periods:
1991-2015,
2016-2019,
2020-2021.
The
results
show
that
are
rapidly
growing
trend
markedly
escalated
during
second
third
periods-due
acceleration
digitalization
decarbonization
agendas-thanks
COVID-19
rapid
advancement
data-driven
technologies.
also
reveals
that,
while
overall
priority
topics
dynamic
over
time-some
AI
techniques
sustainability
areas
received
more
attention
than
others.
synthesized
indicates
increasing
criticism
fragmentation
cities,
widespread
diffusion
SDGs
agenda,
dominance
ICT
significantly
impacted
materialization
thereby
influencing
landscape
dynamics
cities.
suggests
provides
approaches
tackling
sustainability.
However,
involve
costs
pose
ethical
risks
regulatory
conundrums.
findings
can
inform
scholars
practitioners
emerging
technology
assist
policymakers
designing
implementing
responsive
policies.
Sustainability,
Год журнала:
2024,
Номер
16(12), С. 5049 - 5049
Опубликована: Июнь 13, 2024
Sustainable
development
monitoring
reveals
the
extent
to
which
local
and
national
territories
are
progressing
towards
sustainability
goals.
This
study
considered
105
indicators
associated
with
Equitable
Wellbeing
(BES)
framework
139
Development
Goals
(SDGs),
using
multicriteria
decision
analysis
(MCDA)
cluster
compare
regional
performance
across
Italian
territory
in
2022.
At
SDG
level,
Lombardia
exhibited
highest
performance,
while
provinces
of
Trento
Bolzano
led
at
BES
level.
The
results
were
further
analyzed
respect
geographic
macro-areas
three
dimensions
sustainability,
via
separate
analyses
comparing
results.
Northeast
regions
emerged
as
top
performers,
comparable
was
shown
by
center
northwest.
a
sustainable
innovation
model,
alongside
territorial
cooperation
synergy
between
specificities,
may
generate
competitive
advantages,
especially
when
combined
resources
skills
an
international
profile.
Environmental Science and Ecotechnology,
Год журнала:
2024,
Номер
20, С. 100433 - 100433
Опубликована: Май 17, 2024
In
the
dynamic
landscape
of
sustainable
smart
cities,
emerging
computational
technologies
and
models
are
reshaping
data-driven
planning
strategies,
practices,
approaches,
paving
way
for
attaining
environmental
sustainability
goals.
This
transformative
wave
signals
a
fundamental
shift
—
marked
by
synergistic
operation
artificial
intelligence
(AI),
things
(AIoT),
urban
digital
twin
(UDT)
technologies.
While
previous
research
has
largely
explored
AI,
AIoT,
UDT
in
isolation,
significant
knowledge
gap
exists
regarding
their
interplay,
collaborative
integration,
collective
impact
on
context
cities.
To
address
this
gap,
study
conducts
comprehensive
systematic
review
to
uncover
intricate
interactions
among
these
interconnected
technologies,
models,
domains
while
elucidating
nuanced
dynamics
untapped
synergies
complex
ecosystem
Central
four
guiding
questions:
What
theoretical
practical
foundations
underpin
convergence
UDT,
planning,
how
can
components
be
synthesized
into
novel
framework?
How
does
integrating
AI
AIoT
reshape
improve
performance
cities?
augment
capabilities
enhance
processes
challenges
barriers
arise
implementing
what
strategies
devised
surmount
or
mitigate
them?
Methodologically,
involves
rigorous
analysis
synthesis
studies
published
between
January
2019
December
2023,
comprising
an
extensive
body
literature
totaling
185
studies.
The
findings
surpass
mere
interdisciplinary
enrichment,
offering
valuable
insights
potential
advance
development
practices.
By
enhancing
processes,
integrated
offer
innovative
solutions
challenges.
However,
endeavor
is
fraught
with
formidable
complexities
that
require
careful
navigation
mitigation
achieve
desired
outcomes.
serves
as
reference
guide,
spurring
groundbreaking
endeavors,
stimulating
implementations,
informing
strategic
initiatives,
shaping
policy
formulations
sustainable,
development.
These
have
profound
implications
researchers,
practitioners,
policymakers,
providing
roadmap
fostering
resiliently
designed,
technologically
advanced,
environmentally
conscious
environments.
Energy Strategy Reviews,
Год журнала:
2024,
Номер
53, С. 101376 - 101376
Опубликована: Апрель 10, 2024
This
study
presents
a
comprehensive
bibliometric
analysis
of
19,235
publications
on
Wireless
Power
Transfer
(WPT)
from
2015
to
2023,
underlining
its
critical
role
in
advancing
the
Sustainable
Development
Goals
(SDGs).
Focusing
SDG
7
(Affordable
and
Clean
Energy)
3
(Good
Health
Well-being),
research
highlights
WPT's
significant
contributions
sustainability
across
economic,
environmental,
social
realms.
Utilizing
Biblioshiny
VOSviewer,
we
extract
visualize
key
insights
into
recent
progress,
technological
applications,
top
keywords,
publication
trends,
geographical
distribution,
thematic
clusters.
Our
findings
indicate
strong
emphasis
sustainable
energy
solutions,
with
1589
directly
related
7.
WPT
also
supports
9
(Industry,
Innovation,
Infrastructure)
56
11
(Sustainable
Cities
Communities)
171
publications,
contributing
resilient
infrastructure
urban
development.
Moreover,
uncovers
potential
environmental
conservation,
notable
attention
14
(Life
Below
Water)
15
Land).
The
synergy
Artificial
Intelligence
(AI)
is
emphasized
for
enhancing
efficiency
broad
application
areas
such
as
affordable
energy,
agricultural
yields,
health
standards,
digital
education,
water
purification.
Despite
challenges
like
financial
constraints,
technical
hurdles,
concerns,
paper
suggests
innovative
solutions
through
funding,
research,
assessments,
collaborative
policymaking.
Highlighting
promise
state-of-the-art
techniques,
this
advocates
democratizing
technology
access
marginalized
regions,
presenting
pivotal
tool
sustainable,
equitable
future
aligned
SDGs.
Practice, progress, and proficiency in sustainability,
Год журнала:
2024,
Номер
unknown, С. 485 - 506
Опубликована: Авг. 27, 2024
Artificial
Intelligence
plays
a
pivotal
in
resolving
climate
change
and
the
environmental
crisis
with
help
of
AI
technologies.
However,
by
scrubbing
massive
amounts
information
from
satellites
sensors,
it
can
refine
prediction
allowing
for
better
re-prioritization
downstream
when
initiating
mitigation
plans.
In
addition,
using
Intelligence,
also
optimizes
trees
autonomous
networks
energy
systems,
emissions
reduction
carbon.
But
training
is
intensive,
responsible
sizable
chunk
greenhouse
gas
emissions.
As
evolves,
essential
to
guide
its
development
deployment
principles
sustainability
responsibility.
This
chapter
examines
various
aspects
issues
achieve
sustainable
goals.
It
significant
challenges
limitations
intertwined
incorporation
degradation
crises
change.
International Journal of Sustainable Development & World Ecology,
Год журнала:
2024,
Номер
31(6), С. 726 - 745
Опубликована: Март 21, 2024
Artificial
intelligence
(AI)
can
significantly
contribute
to
the
implementation
of
United
Nations
Sustainable
Development
Goals
(SDGs)
by
offering
innovative
solutions
and
enhancing
efficiency
processes
aimed
at
achieving
these
goals.
There
is
a
perceived
need
for
studies
which
may
look
connections.
Against
this
background,
paper
reports
on
study
that
investigated
connections
between
artificial
UN
higher
education
institutions.
The
deployed
multi-methods
approach.
first
one
was
bibliometric
analysis
publications
in
topic.
second
method
used
an
assessment
set
case
studies,
illustrate
how
being
among
sample
universities
support
efforts
implement
SDGs
survey
identifying
current
future
trends.
data
gathered
allow
some
trends
be
identified.
For
instance,
there
wide
range
applications
AI
sustainability
High
Education
Institutions
(HEI),
chosen
terms
campus
operations
greening,
outreach
community
engagement,
research,
teaching
learning,
university
management.
Also,
has
identified
successful
examples
deployment
various
contexts,
illustrating
what
are
success
factors
them.
Moreover,
fact
use
quite
widely
spread,
likely
increase
coming
years,
due
greater
demand.
Finally,
also
poses
several
challenges,
such
as
authenticity
ethics
(case
studies),
'lack
access
software/materials',
information
technology
training
myself/my
colleagues'
(survey).
Overall,
offers
powerful
toolset
accelerate
enhance
SDGs.
By
analysing
vast
datasets,
predicting
outcomes,
optimising
processes,
providing
new
insights,
potential
address
complex
challenges
across
sectors.
Computational Urban Science,
Год журнала:
2024,
Номер
4(1)
Опубликована: Апрель 17, 2024
Abstract
In
the
context
of
smart
cities,
ensuring
road
safety
is
crucial
due
to
increasing
urbanization
and
interconnected
nature
contemporary
urban
environments.
Leveraging
innovative
technologies
essential
mitigate
risks
create
safer
communities.
Thus,
there
a
compelling
imperative
develop
advanced
solutions
enhance
within
city
frameworks.
this
article,
we
introduce
comprehensive
vehicle
framework
tailored
specifically
for
cities
in
realm
Artificial
Intelligence
Things
(AIoT).
This
seamlessly
integrates
variety
sensors,
including
eye
blink,
ultrasonic,
alcohol
bolster
safety.
The
utilization
blink
sensor
serves
promptly
detect
potential
hazards,
alerting
drivers
through
audible
cues
thereby
enhancing
on
roads.
Moreover,
ultrasonic
sensors
provide
real
time
information
about
surrounding
speeds,
facilitating
smoother
traffic
flow.
To
address
concerns
related
consumption
its
impact
safety,
our
incorporates
specialized
that
effectively
monitors
driver’s
levels.
instances
high
content,
system
utilizes
GPS
GSM
technology
automatically
adjust
vehicle’s
speed
while
simultaneously
notifying
pertinent
authorities
prompt
intervention.
Additionally,
proposed
optimizes
inter-vehicle
communication
by
leveraging
Li-Fi
technology,
enabling
faster
more
efficient
data
transmission
via
visible
light
(VLC).
integration
enhances
connectivity
among
connected
vehicles,
contributing
cohesive
intelligent
transportation
network.
Through
structured
AIoT
technologies,
lays
robust
foundation
safer,
smarter,
sustainable
future
transportation.
It
offers
significant
advancements
establishes
groundwork
further
enhancement
networks.
