Kent Akademisi,
Год журнала:
2024,
Номер
17(3), С. 701 - 718
Опубликована: Апрель 17, 2024
This
paper
aims
to
examine
the
effects
of
digital
technologies
on
academic
knowledge
production
in
field
urban
research.
It
provides
a
comprehensive
overview
evolution
technology-based
research
literature,
delineates
structure,
and
investigates
prevalent
trends.
The
study
employs
bibliometric
analysis
analyze
bibliographical
textual
data
extracted
from
scientific
documents,
which
allows
for
discovery
existing
epistemological
structure
discipline
or
domain.
was
conducted
by
conducting
up-to-date
review
literature
available
Web
Science
Core
Collection
regarding
how
concepts
such
as
big
data,
artificial
intelligence
(AI),
Internet
Things
(IoT)
are
discussed
papers
studies.
A
total
2055
that
met
established
criteria
were
identified
analyzed
using
software
called
Bibliometrix.
results
aid
examining
integration
technological
advancements
into
research,
reveal
temporal,
spatial,
disciplinary
distribution
articles,
well
their
reflections
new
areas
both
frequently
studied
yet
unexplored
topics.
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.
Sustainable Cities and Society,
Год журнала:
2024,
Номер
101, С. 105182 - 105182
Опубликована: Янв. 7, 2024
Green
infrastructure
(GI)
is
a
fundamental
building
block
of
our
cities.
It
contributes
to
the
sustainability
and
vitality
cities
by
offering
various
benefits
such
as
greening,
cooling,
water,
air
quality,
managing
carbon
emissions.
GI
plays
an
essential
role
in
enhancing
overall
well-being.
The
utilisation
artificial
intelligence
(AI)
technologies
for
optimisation
perceived
powerful
approach
A
knowledge
gap,
nevertheless,
remains
research
on
AI-driven
tackling
climate
change.
This
study
aims
consolidate
comprehension
optimisation,
particularly
methodology
adopts
PRISMA
protocol
perform
systematic
literature
review.
review
results
are
analysed
from
six
aspects—i.e.,
objectives,
objectives
categories,
indicators,
models,
types,
scales.
findings
revealed:
(a)
was
mainly
undertaken
areas
biodiversity
ecosystem
security,
energy
efficiency,
public
health,
heat
islands,
water
management;
(b)
Indicator
categories
were
concentrated
indicators
related
GI,
objective,
other
general/supporting
indicators.
Based
these
findings,
framework
developed
enhance
understanding
process
within
realm
Sustainable Cities and Society,
Год журнала:
2024,
Номер
108, С. 105516 - 105516
Опубликована: Май 9, 2024
Emerging
smarter
eco-cities,
inherently
intertwined
with
environmental
governance,
function
as
experimental
sites
for
testing
novel
technological
solutions
and
implementing
reforms
aimed
at
addressing
complex
challenges.
However,
despite
significant
progress
in
understanding
the
distinct
roles
of
emerging
data-driven
governance
systems—namely
City
Brain,
Smart
Urban
Metabolism
(SUM),
platform
urbanism—enabled
by
Artificial
Intelligence
Things
(AIoT),
a
critical
gap
persists
systematically
exploring
untapped
potential
stemming
from
their
synergistic
collaborative
integration
context
urban
governance.
To
fill
this
gap,
study
aims
to
explore
linchpin
AIoT
seamlessly
integrating
these
systems
advance
eco-cities.
Specifically,
it
introduces
pioneering
framework
that
effectively
leverages
synergies
among
AIoT-powered
enhance
sustainability
practices
In
developing
framework,
employs
configurative
aggregative
synthesis
approaches
through
an
extensive
literature
review
in-depth
case
analysis
publications
spanning
2018
2023.
The
identifies
key
factors
driving
co-evolution
AI
IoT
into
specifies
technical
components
constituting
architecture
A
comparative
reveals
commonalities
differences
SUM,
urbanism
within
frameworks
These
collectively
contribute
eco-cities
leveraging
real-time
data
analytics,
predictive
modeling,
stakeholder
engagement.
proposed
underscores
importance
decision-making,
optimization
resource
management,
reduction
impact,
collaboration
stakeholders,
engagement
citizens,
formulation
evidence-based
policies.
findings
unveils
presents
promising
opportunities
prospects
advancing
not
only
charts
strategic
trajectory
stimulating
research
endeavors
but
also
holds
practical
application
informed
policymaking
realm
ongoing
discussions
refinements
remain
imperative
address
identified
challenges,
ensuring
framework's
robustness,
ethical
soundness,
applicability
across
diverse
contexts.
Smart Cities,
Год журнала:
2024,
Номер
7(4), С. 1576 - 1625
Опубликована: Июнь 28, 2024
In
an
era
marked
by
rapid
technological
progress,
the
pivotal
role
of
Artificial
Intelligence
(AI)
is
increasingly
evident
across
various
sectors,
including
local
governments.
These
governmental
bodies
are
progressively
leveraging
AI
technologies
to
enhance
service
delivery
their
communities,
ranging
from
simple
task
automation
more
complex
engineering
endeavours.
As
governments
adopt
AI,
it
imperative
understand
functions,
implications,
and
consequences
these
advanced
technologies.
Despite
growing
importance
this
domain,
a
significant
gap
persists
within
scholarly
discourse.
This
study
aims
bridge
void
exploring
applications
context
government
provision.
Through
inquiry,
seeks
generate
best
practice
lessons
for
smart
city
initiatives.
By
conducting
comprehensive
review
grey
literature,
we
analysed
262
real-world
implementations
170
worldwide.
The
findings
underscore
several
key
points:
(a)
there
has
been
consistent
upward
trajectory
in
adoption
over
last
decade;
(b)
China,
US,
UK
at
forefront
adoption;
(c)
among
technologies,
natural
language
processing
robotic
process
emerge
as
most
prevalent
ones;
(d)
primarily
deploy
28
distinct
services;
(e)
information
management,
back-office
work,
transportation
traffic
management
leading
domains
terms
adoption.
enriches
existing
body
knowledge
providing
overview
current
sphere
governance.
It
offers
valuable
insights
policymakers
decision-makers
considering
adoption,
expansion,
or
refinement
urban
Additionally,
highlights
using
guide
successful
integration
optimisation
future
projects,
ensuring
they
meet
evolving
needs
communities.
Applied Sciences,
Год журнала:
2024,
Номер
14(13), С. 5501 - 5501
Опубликована: Июнь 25, 2024
Local
governments
face
critical
challenges
in
the
era
of
digital
transformation,
balancing
responsibility
safeguarding
resident
information
and
administrative
documents
while
maintaining
data
integrity
public
trust.
These
responsibilities
become
even
more
as
they
transition
into
smart
cities
adopting
advanced
technological
innovations
to
revolutionize
governance,
enhance
service
delivery,
foster
sustainable
resilient
urban
environments.
Technological
advancements
like
Internet-of-Things
devices
artificial
intelligence-driven
approaches
can
provide
better
services
residents,
but
also
expose
local
cyberthreats.
There
has
been,
nonetheless,
very
little
study
on
cybersecurity
issues
from
government
perspective,
multifaceted
nature
settings
is
scattered
fragmented,
highlighting
need
for
a
conceptual
understanding
adequate
action.
Against
this
backdrop,
aims
identify
key
components
governmental
context
through
systematic
literature
review.
This
review
further
extends
development
framework
providing
comprehensive
government’s
landscape.
makes
significant
contribution
academic
professional
domains
policies
within
context,
offering
valuable
insights
decision-makers,
practitioners,
academics.
helps
vulnerabilities,
enabling
stakeholders
recognize
shortcomings
their
implement
effective
countermeasures
safeguard
confidential
documents.
Thus,
findings
inform
policy
cybersecurity-aware
prepared.
