Smart and Sustainable Built Environment,
Journal Year:
2025,
Volume and Issue:
unknown
Published: May 19, 2025
Purpose
The
study
aimed
to
provide
a
comprehensive
review
and
bibliometric
analysis
of
City
Information
Modelling
(CIM)
research,
focusing
on
its
development,
key
contributions,
future
directions.
Design/methodology/approach
methodology
combined
systematic
critically
examine
the
research
gaps
directions
in
CIM
utilising
Web
Science
(WoS),
Scopus
Emerald
Insight
databases.
performed
using
VOSviewer
three
databases
analyse
446
documents
identify
publication
trends,
citation
patterns
hotspots
is
essential
understanding
field’s
structure
identifying
contributions
research.
utilised
PRISMA
method
89
uncover
Findings
revealed
that
despite
upward
growth
2023,
remains
fragmented,
lacking
unified
theoretical
framework.
Much
existing
work
focuses
technical
integration
Building
(BIM),
Geographic
information
modelling
(GIS),
Internet
Things
(IoT),
often
at
expense
socioeconomic
environmental
considerations.
A
heavy
reliance
limited
case
studies,
small
datasets,
past
data
hampers
generalizability
findings.
While
infrastructure,
construction,
facility
management
dominate
discourse,
there
comparatively
little
attention
governance,
mobility,
public-private
partnerships,
social
equity.
To
advance
field,
identifies
areas
for
such
as
developing
governance
frameworks,
innovative
asset
strategies,
enhanced
security
measures,
improved
system
interoperability.
Emphasizing
holistic
interdisciplinary
approaches
can
enhance
CIM’s
relevance
impact,
enabling
it
effectively
address
wider
range
urban
challenges.
Originality/value
This
addresses
fragmented
state
by
consolidating
knowledge
from
diverse
domains
through
methods.
It
provides
framework
potential
smart,
sustainable
development.
findings
underscore
need
holistic,
data-driven
inform
policy
practice,
offering
new
insights
into
trajectory.
Sustainability,
Journal Year:
2023,
Volume and Issue:
15(14), P. 10908 - 10908
Published: July 12, 2023
This
paper
presents
a
comprehensive
understanding
of
current
digital
twin
(DT)
implementations
in
the
construction
industry,
along
with
providing
an
overview
technologies
enabling
operation
DTs
industry.
To
this
end,
145
publications
were
identified
using
systematic
literature
review.
The
results
revealed
eight
key
areas
DT
implementation
including
(i)
virtual
design,
(ii)
project
planning
and
management,
(iii)
asset
management
maintenance,
(iv)
safety
(v)
energy
efficiency
sustainability,
(vi)
quality
control
(vii)
supply
chain
logistics,
(viii)
structural
health
monitoring.
findings
demonstrate
that
technology
has
capacity
to
revolutionise
industry
across
these
areas,
optimised
designs,
improved
collaboration,
real-time
monitoring,
predictive
enhanced
practices,
performance
optimisation,
inspections,
efficient
proactive
maintenance.
study
also
several
challenges
hinder
widespread
construction,
data
integration
interoperability,
accuracy
completeness,
scalability
complexity,
privacy
security,
standards
governance.
address
challenges,
recommends
prioritising
standardised
formats,
protocols,
APIs
for
seamless
exploring
semantic
modelling
ontologies
integration,
implementing
validation
processes
robust
governance
harnessing
high-performance
computing
advanced
techniques
establishing
protection
access
controls
developing
widely
accepted
frameworks
industry-wide
collaboration.
By
addressing
can
unlock
full
potential
technology,
thus
enhancing
safety,
reliability,
projects.
Smart and Sustainable Built Environment,
Journal Year:
2023,
Volume and Issue:
13(1), P. 85 - 116
Published: July 26, 2023
Purpose
This
study
aims
to
investigate
the
literature
related
use
of
digital
technologies
for
promoting
circular
economy
(CE)
in
construction
industry.
Design/methodology/approach
A
comprehensive
approach
was
adopted,
involving
bibliometric
analysis,
text-mining
analysis
and
content
meet
three
objectives
(1)
unveil
evolutionary
progress
field,
(2)
identify
key
research
themes
field
(3)
challenges
hindering
implementation
CE.
Findings
total
365
publications
analysed.
The
results
revealed
eight
categorised
into
two
main
clusters
including
“digitalisation
advanced
technologies”
“sustainable
technologies”.
former
involved
technologies,
namely
machine
learning,
artificial
intelligence,
deep
big
data
analytics
object
detection
computer
vision
that
were
used
forecasting
demolition
(C&D)
waste
generation,
identification
classification
management.
latter
included
such
as
Internet
Things
(IoT),
blockchain
building
information
modelling
(BIM)
help
optimise
resource
use,
enhance
transparency
sustainability
practices
Overall,
these
show
great
potential
improving
management
enabling
CE
construction.
Originality/value
employs
a
holistic
provide
status-quo
understanding
can
be
utilised
support
Further,
this
underlines
associated
with
adopting
whilst
also
offering
opportunities
future
improvement
field.
International Journal of Applied Earth Observation and Geoinformation,
Journal Year:
2023,
Volume and Issue:
122, P. 103440 - 103440
Published: Aug. 1, 2023
Digital
Twins
for
cities
represent
a
new
trend
urban
and
geospatial
fields.
Currently,
some
DTs
implementations
are
taking
place.
Nevertheless,
the
whole
concept
remains
ambiguous
presents
differences
that
need
to
be
addressed.
The
aim
of
this
article
is
bridge
gap
between
definitions
current
implementations.
This
review
was
conducted
through
scientific
literature
an
online
survey.
study
collects
compares
them
with
related
concepts
used
jointly
in
literature.
It
puts
together
in-depth
analysis
since
they
express
similarities
various
discrepancies.
As
our
highlights
most
documented
initiatives
according
9
comprehensive
categories,
approach
assessing
proposed
evaluate
data
integration
methods
realizations.
Three
levels
suggested:
conceptual
schema
model-based
level
(the
integrated
into
top
DT,
i.e.,
extending
model
cover
features
or
themes);
database-based
(data
order
feed
update
specific
attributes
classes);
application-based
application
generally
at
viewer
level).
Mathematics,
Journal Year:
2023,
Volume and Issue:
11(9), P. 1981 - 1981
Published: April 22, 2023
Relevant
research
has
investigated
how
predictive
modeling
algorithms,
deep-learning-based
sensing
technologies,
and
big
urban
data
configure
immersive
hyperconnected
virtual
spaces
in
digital
twin
cities:
tools,
monitoring
Internet-of-Things-based
decision
support
systems
articulate
big-data-driven
geopolitics.
This
systematic
review
aims
to
inspect
the
recently
published
literature
on
simulation
spatial
cognition
multi-sensor
fusion
technology
sustainable
governance
networks.
We
integrate
developing
blockchain-based
twins,
smart
infrastructure
sensors,
real-time
Internet
of
Things
assist
computing
technologies.
The
problems
are
whether:
data-driven
urbanism
requires
visual
recognition
simulation-based
twins;
environment
perception
mechanisms
cities;
modeling,
optimize
city
environments.
Our
analyses
particularly
prove
that
navigation
geospatial
mapping
connected
sensors
enable
governance.
Digital
simulation,
visualization
ambient
sound
software
Virtual
deep
learning
neural
network
architectures,
cyber-physical
cognitive
networked
cities.
Throughout
January
March
2023,
a
quantitative
was
carried
out
across
ProQuest,
Scopus,
Web
Science
databases,
with
search
terms
comprising
“sustainable
networks”
+
“digital
tools”,
“spatial
algorithms”,
“multi-sensor
technology”.
A
Preferred
Reporting
Items
for
Systematic
Reviews
Meta-analysis
(PRISMA)
flow
diagram
generated
using
Shiny
App.
AXIS
(Appraisal
tool
Cross-Sectional
Studies),
Dedoose,
MMAT
(Mixed
Methods
Appraisal
Tool),
Review
Data
Repository
(SRDR)
were
used
assess
quality
identified
scholarly
sources.
Dimensions
VOSviewer
employed
bibliometric
through
layout
algorithms.
findings
gathered
from
our
clarify
environments
3D
technology,
intelligent
devices,
modeling.
Smart Cities,
Journal Year:
2025,
Volume and Issue:
8(1), P. 23 - 23
Published: Feb. 5, 2025
The
rapid
evolution
of
smart
city
technologies
has
expanded
digital
twin
(DT)
applications
from
industrial
to
urban
contexts.
However,
current
twins
(UDTs)
remain
predominantly
focused
on
the
physical
aspects
environments
(“spaces”),
often
overlooking
interwoven
social
dimensions
that
shape
concept
“place”.
This
limitation
restricts
their
ability
fully
represent
complex
interplay
between
and
systems
in
settings.
To
address
this
gap,
paper
introduces
(SDT),
which
integrates
into
UDTs
bridge
divide
technological
lived
experience.
Drawing
an
extensive
literature
review,
study
defines
key
components
for
transitioning
SDTs,
including
conceptualization
modeling
human
interactions
(geo-individuals
geo-socials),
applications,
participatory
governance,
community
engagement.
Additionally,
it
identifies
essential
analytical
tools
implementing
outlines
research
gaps
practical
challenges,
proposes
a
framework
integrating
dynamics
within
UDTs.
emphasizes
importance
active
participation
through
governance
model
offers
comprehensive
methodology
support
researchers,
technology
developers,
policymakers
advancing
SDT
applications.
Automation in Construction,
Journal Year:
2023,
Volume and Issue:
152, P. 104934 - 104934
Published: May 11, 2023
High-rise
buildings
consume
more
energy
and
have
greater
environmental
impacts,
emphasising
the
need
to
adopt
best
practices
during
design
stage
concerning
BIM
employment.
However,
despite
strong
support
from
literature,
little
is
known
about
applications
of
in
high-rise
at
early
stage.
Therefore,
this
paper
aims
provide
a
holistic
understanding
current
by
analysing
60
studies.
The
findings
identified
seven
research
themes,
including
studies
that
used
for
i)
optimising
building
efficiency
design;
ii)
collaborative
planning;
iii)
life-cycle
assessment;
iv)
designing
net-zero
buildings;
v)
integrating
with
smart
technologies
vi)
cost
analysis,
vii)
structural
buildings.
Furthermore,
study
highlights
number
challenges
hindering
widespread
application
BIM,
alongside
providing
potential
directions
future
development
employment
Smart and Sustainable Built Environment,
Journal Year:
2025,
Volume and Issue:
unknown
Published: Feb. 3, 2025
Purpose
As
cities
increasingly
embrace
smart
technologies
to
enhance
efficiency,
sustainability
and
quality
of
life,
integrating
cybersecurity
data
protection
measures
becomes
paramount.
This
paper
analyzes
practices
based
on
the
existing
strategies
projects
in
cities.
Design/methodology/approach
A
research
methodology
involving
searching
for
resources,
content
analysis
Delphi
method
was
developed
select
sample
cities,
identify
relevant
analyze
categorize
their
content,
validate
relevance
transform
them
into
a
list
recommendations.
Findings
The
findings
include
validated
39
recommendations
categorized
6
categories
implementing
robust
We
found
that
employ
various
address
protection,
including
technical
solutions,
organizational
practices,
policies
human
resources
initiatives.
economy
governance
components
are
prioritized
regarding
measures,
while
living
environments
receive
less
attention
than
others.
There
regional
differences
implementation
with
Asia
Europe
demonstrating
higher
levels
engagement.
Originality/value
provides
an
approach
different
contexts
gather
best
practices.
identified
contribute
building
sustainable
resilient
urban
governance.
Sustainability,
Journal Year:
2023,
Volume and Issue:
15(8), P. 6546 - 6546
Published: April 12, 2023
This
paper
explores
how
to
improve
the
sustainability
of
smart
cities
from
a
design
perspective,
by
combining
concepts
sustainable
with
Internet
Things
and
ecosystems.
The
uses
combination
literature,
cases,
model
building
develop
research.
First,
article
analyzes
six
elements
(human,
environment,
society,
economy,
culture)
four
dimensions
(space,
resources,
management,
platform)
that
constitute
system
for
constructs
based
on
this
analysis;
then,
strategy
in
is
discussed
perspectives
management
spatial
planning
CIM
specific
cases.
study
highlights
importance
prioritizing
people
balancing
“people-environment-society-economy-culture”
using
technology
across
space,
platform.
Moreover,
platform,
can
be
considered
terms
urban
planning,
enabling
people,
culture,
platform
form
ecological
enhance
cities.
Buildings,
Journal Year:
2023,
Volume and Issue:
13(3), P. 768 - 768
Published: March 15, 2023
Block
morphology
refers
to
critical
parameters
influencing
building
energy
performance
on
the
block
scale.
However,
analysis
of
combined
effect
morphological
consumption
with
real
blocks
is
lacking.
In
this
paper,
aim
evaluate
office
in
context
Hot-summer
and
Cold-winter
zone
China.
First,
a
workflow
for
assessment
buildings
coupled
scale
was
proposed
evaluation
tools.
Seventy
Wuhan
were
taken
as
examples
then
classified
based
layout
typology
height.
Afterwards,
use
intensity
(EUI)
different
calculated.
Then,
buildings’
evaluated
model
predicting
proposed.
Finally,
results,
low-energy
design
strategies
projected
blocks.
The
results
illustrated
that
cooling,
heating,
lighting
EUI
28.83%,
28.56%,
23.23%,
respectively.
Building
shape
factor
(BSF),
floor
area
ratio
(FAR),
average
height
(BH),
depth
(BD)
are
effective
parameters.
key
which
affect
BSF
FAR;
has
1.24
times
than
FAR.
built
paper
can
be
applied
other
cities
around
world
promoting
sustainable
cities.