Iraqi Journal of Architecture and Planning,
Journal Year:
2023,
Volume and Issue:
22(2), P. 73 - 85
Published: Dec. 12, 2023
Developing
smart
city
planning
requires
integrating
various
techniques,
including
geospatial
building
information
models
(BIM),
and
communication
technology
(ICT),
artificial
intelligence,
for
instance,
three-dimensional
(3D)
models,
in
enabling
applications.
This
study
aims
to
comprehensively
analyze
the
role
significance
of
techniques
implementation.
The
literature
review
encompasses
(74)
studies
from
diverse
databases,
examining
relevant
solutions
prototypes
related
planning.
focus
highlights
requirements
preparation
support
transition
a
city.
paper
explores
aspects,
such
as
advantages
challenges
data
collection
analysis
methodologies,
case
showcasing
successful
implementations
initiatives.
research
concludes
that
are
instrumental
driving
development
cities.
By
analyzing
synthesizing
outcomes
reviewed
articles,
this
establishes
essential
contribution
successfully
realizing
vision
Land,
Journal Year:
2025,
Volume and Issue:
14(3), P. 578 - 578
Published: March 10, 2025
Urban
heat
island
(UHI)
effects
pose
significant
challenges
to
sustainable
urban
development,
necessitating
innovative
modeling
techniques
optimize
morphology
for
thermal
resilience.
This
study
integrates
the
Pix2Pix
and
CycleGAN
architectures
generate
high-fidelity
models
aligned
with
local
climate
zones
(LCZs),
enhancing
their
applicability
studies.
research
focuses
on
eight
major
Chinese
coastal
cities,
leveraging
a
robust
dataset
of
4712
samples
train
generative
models.
Quantitative
evaluations
demonstrated
that
integration
substantially
improved
structural
fidelity
realism
in
synthesis,
achieving
peak
Structural
Similarity
Index
Measure
(SSIM)
0.918
coefficient
determination
(R2)
0.987.
The
total
adversarial
loss
training
stabilized
at
0.19
after
811
iterations,
ensuring
high
convergence
structure
generation.
Additionally,
CycleGAN-enhanced
outputs
exhibited
35%
reduction
relative
error
compared
Pix2Pix-generated
images,
significantly
improving
edge
preservation
feature
accuracy.
By
incorporating
LCZ
data,
proposed
framework
successfully
bridges
climate-responsive
planning,
enabling
adaptive
design
strategies
mitigating
UHI
effects.
enhance
generation,
while
classification
produce
forms
align
specific
climatological
conditions.
Compared
model
trained
by
coupled
alone,
approach
offers
planners
more
precise
tool
designing
optimizing
layouts
mitigate
effects,
improve
energy
efficiency,
