Synergistic integration of digital twins and zero energy buildings for climate change mitigation in sustainable smart cities: A systematic review and novel framework
Simon Elias Bibri,
No information about this author
Jeffrey Huang,
No information about this author
Osama Omar
No information about this author
et al.
Energy and Buildings,
Journal Year:
2025,
Volume and Issue:
unknown, P. 115484 - 115484
Published: Feb. 1, 2025
Language: Английский
Leveraging Advanced Technologies for (Smart) Transportation Planning: A Systematic Review
Sustainability,
Journal Year:
2025,
Volume and Issue:
17(5), P. 2245 - 2245
Published: March 5, 2025
Transportation
systems
worldwide
are
facing
numerous
challenges,
including
congestion,
environmental
impacts,
and
safety
concerns.
This
study
used
a
systematic
literature
review
to
investigate
how
advanced
technologies
(e.g.,
IoT,
AI,
digital
twins,
optimization
methods)
support
smart
transportation
planning.
Specifically,
this
examines
the
interrelationships
between
proposed
solutions,
enabling
technologies,
providing
insights
into
these
innovations
mobility
initiatives.
A
review,
following
PRISMA
guidelines,
identified
26
peer-reviewed
articles
published
2013
2024,
studies
that
examined
technologies.
To
quantitatively
assess
relationships
among
key
concepts,
Sentence
BERT-based
natural
language
processing
approach
was
employed
compute
alignment
scores
technological
implementation
strategies.
The
findings
highlight
fact
real-time
data
collection,
predictive
analytics,
twin
simulations
significantly
enhance
traffic
flow,
safety,
operational
efficiency
while
mitigating
impacts.
analysis
further
reveals
strong
correlations
congestion
public
transit
optimization,
reinforcing
effectiveness
of
integrated,
data-driven
Additionally,
IoT-based
sensor
networks
AI-driven
decision-support
shown
play
critical
role
in
sustainable
urban
by
proactive
management,
multimodal
planning,
emission
reduction
From
policy
perspective,
underscores
need
for
investment
urban-scale
infrastructures,
integration
modeling
long-term
planning
frameworks,
tools
with
improvements
foster
equitable
efficient
mobility.
These
offer
actionable
recommendations
policymakers,
engineers,
planners,
guiding
resource
allocation
legislative
strategies
sustainable,
adaptive,
technologically
ecosystems.
Language: Английский
Machine Learning for Blockchain and IoT Systems in Smart Cities: A Survey
Future Internet,
Journal Year:
2024,
Volume and Issue:
16(9), P. 324 - 324
Published: Sept. 6, 2024
The
integration
of
machine
learning
(ML),
blockchain,
and
the
Internet
Things
(IoT)
in
smart
cities
represents
a
pivotal
advancement
urban
innovation.
This
convergence
addresses
complexities
modern
environments
by
leveraging
ML’s
data
analytics
predictive
capabilities
to
enhance
intelligence
IoT
systems,
while
blockchain
provides
secure,
decentralized
framework
that
ensures
integrity
trust.
synergy
these
technologies
not
only
optimizes
management
but
also
fortifies
security
privacy
increasingly
connected
cities.
survey
explores
transformative
potential
ML-driven
blockchain-IoT
ecosystems
enabling
autonomous,
resilient,
sustainable
city
infrastructure.
It
discusses
challenges
such
as
scalability,
privacy,
ethical
considerations,
outlines
possible
applications
future
research
directions
are
critical
for
advancing
initiatives.
Understanding
dynamics
is
essential
realizing
full
cities,
where
technology
enhances
efficiency
sustainability
resilience.
Language: Английский
Energy-Efficient Industrial Internet of Things in Green 6G Networks
Applied Sciences,
Journal Year:
2024,
Volume and Issue:
14(18), P. 8558 - 8558
Published: Sept. 23, 2024
The
research
problem
of
this
systematic
review
was
whether
green
6G
networks
can
integrate
energy-efficient
Industrial
Internet
Things
(IIoT)
in
terms
distributed
artificial
intelligence,
pervasive
edge
computing
communication
and
big-data-based
intelligent
decision
algorithms.
We
show
that
sensor
data
fusion
be
carried
out
IoT
smart
industrial
urban
environments
by
cooperative
perception
inference
tasks.
Our
analyses
debate
on
wireless
communication,
vehicular
autonomous
networks,
algorithm
technologies
equipment
manufacturing
environments.
Mobile
cloud
task
processing
capabilities
decentralized
network
control
power
grid
system
monitoring
were
thereby
analyzed.
results
contributions
clarify
sustainable
energy
efficiency
generation
together
with
support
environmental
systems
operate
efficiently
intelligence
networks.
PRISMA
used,
its
web-based
Shiny
app
flow
design,
the
search
outcomes
screening
procedures
integrated.
A
quantitative
literature
performed
July
2024
original
published
between
2019
2024.
Study
screening,
evidence
map
visualization,
extraction
reporting
tools,
machine
learning
classifiers,
reference
management
software
harnessed
for
qualitative
data,
collection,
management,
analysis
synthesis.
Dimensions
VOSviewer
deployed
visualization
analysis.
Language: Английский
Innovative approaches to green digital twin technologies of sustainable smart cities using a novel hybrid decision-making system
Jifeng Cao,
No information about this author
Cristi Spulbăr,
No information about this author
Serkan Eti
No information about this author
et al.
Journal of Innovation & Knowledge,
Journal Year:
2025,
Volume and Issue:
10(1), P. 100651 - 100651
Published: Jan. 1, 2025
Language: Английский
Adaptive Scheduling in Cognitive IoT Sensors for Optimizing Network Performance Using Reinforcement Learning
Applied Sciences,
Journal Year:
2025,
Volume and Issue:
15(10), P. 5573 - 5573
Published: May 16, 2025
Cognitive
sensors
are
embedded
in
home
appliances
and
other
surrounding
devices
to
create
a
connected,
intelligent
environment
for
providing
pervasive
ubiquitous
services.
These
frequently
massive
amounts
of
data
with
many
redundant
repeating
bit
values.
always
restricted
resources,
if
careful
strategy
is
not
applied
at
the
time
deployment,
become
disconnected,
degrading
system’s
performance
terms
energy,
reconfiguration,
delay,
latency,
packet
loss.
To
address
these
challenges
establish
connected
network,
there
need
system
evaluate
contents
detected
values
dynamically
switch
sensor
states
based
on
their
function.
Here
this
article,
we
propose
reinforcement
learning-based
mechanism
called
“Adaptive
Scheduling
IoT
Sensors
Optimizing
Network
Performance
using
Reinforcement
Learning
(ASC-RL)”.
For
learning,
proposed
scheme
uses
three
types
parameters:
internal
parameters
(states),
environmental
(sensing
values),
history
(energy
levels,
roles,
number
switching
states)
derives
function
state-changing
policy.
Based
policy,
adjust
adapt
different
energy
states.
minimize
extensive
sensing,
reduce
costly
processing,
lessen
frequent
communication.
The
reduces
network
traffic
optimizes
energy.
main
factors
evaluated
joint
Gaussian
distributions
event
correlations,
derived
results
signal
strengths,
noise,
prediction
accuracy,
efficiency
combined
reward
score.
Through
comparative
analysis,
ASC-RL
enhances
overall
by
3.5%
detection
transition
probabilities.
false
alarm
probabilities
reduced
25.7%,
transmission
success
rate
increased
6.25%,
reliability
threshold
35%.
Language: Английский
Enhanced digital twins (EDTs) approach based on advanced inspection and technology adoption to achieve sustainable construction processes
Energy and Buildings,
Journal Year:
2025,
Volume and Issue:
unknown, P. 115880 - 115880
Published: May 1, 2025
Language: Английский
The Use of Digital Twins to Address Smart Tourist Destinations’ Future Challenges
Platforms,
Journal Year:
2024,
Volume and Issue:
2(4), P. 234 - 254
Published: Dec. 9, 2024
This
research
aims
to
conceptualise
the
use
of
digital
twins
(DT)
tool
in
tourism
address
smart
tourist
destinations’
future
challenges
enhance
tourists’
experiences
and
residents’
quality
life
through
better
services
developed
by
DTs.
paper
investigated
DT
technology
tackle
new
facing
destinations
(STDs)
terms
urban
planning,
sustainability,
security,
marketing,
activities
using
data
on
this
topic
from
expert
researchers
public
private
organisations.
Also,
adopted
a
systematic
review
approach
analyse
illustrate
existing
literature
DTs
their
for
STDs,
which
helped
us
develop
concept
STD
context.
The
findings
reveal
that
is
emerging
as
disruptive
being
used
improve
management
STDs
efficiency,
safety,
environmental
protection,
productivity,
energy
consumption.
Moreover,
nascent
marketing
industries,
but
its
versatility
relation
capacity
predict
behaviour
business
ecosystems
relevant
issues
at
gives
it
key
role
industry.
Finally,
definition
has
been
included
study
within
context,
filling
gap
industry
according
some
researchers’
suggestions.
There
are
limited
scientific
publications
about
jointly
sphere.
Accordingly,
manuscript
defines
provides
viewpoint
will
help
initiate
academic
discussions
context
STDs.
Language: Английский
Bridging the Digital Disability Divide: Determinants of Internet Use among Visually Impaired Individuals in Thailand
Thitiphat Phochai,
No information about this author
Prasongchai Setthasuravich,
No information about this author
Aphisit Pukdeewut
No information about this author
et al.
Disabilities,
Journal Year:
2024,
Volume and Issue:
4(3), P. 696 - 723
Published: Sept. 17, 2024
This
study
investigates
the
sociodemographic
and
contextual
determinants
influencing
Internet
usage
among
individuals
with
visual
impairments
in
Thailand,
contributing
to
literature
on
digital
disability
divide.
Data
from
“Disability
Survey
2022”
conducted
by
National
Statistical
Office
of
Thailand
were
used.
Descriptive
statistics,
chi-square
tests,
logistic
regression
analysis
performed
data
5621
visually
impaired
respondents.
The
findings
indicate
that
approximately
26.88%
use
Internet.
highlights
several
critical
disparities.
Males
exhibit
lower
odds
compared
females
(adjusted
ratio
[AOR]
=
0.850,
p
0.034).
Younger
are
more
likely
Internet;
a
decline
was
observed
increasing
age
(AOR
for
60+
years
0.052,
<
0.001).
Regional
disparities
evident.
Individuals
northeastern
2.044,
0.001),
central
1.356,
0.008),
southern
1.992,
0.001)
regions
showed
higher
those
northern
region.
Higher
income
5000–9999
THB
1.798,
educational
attainment
bachelor’s
degree
14.915,
wealth
index
wealthy
5.034,
increase
likelihood
use.
Employed
3.159,
unemployed
individuals.
Additionally,
severity
impairment
is
crucial,
having
low
vision
both
eyes
engage
online
than
who
completely
blind
5.935,
These
highlight
need
comprehensive
inclusion
initiatives
address
various
factors,
including
age-inclusive
literacy
programs,
targeted
regional
infrastructure
development,
economic
support
improve
access,
advancements
assistive
technologies.
provides
valuable
insights
policymakers
other
developing
countries,
enhancing
understanding
divide
informing
strategies
foster
greater
equity.
Language: Английский