Pakistan Journal of Humanities and Social Sciences,
Journal Year:
2024,
Volume and Issue:
12(2), P. 1898 - 1916
Published: June 20, 2024
This
study
investigated
the
reasons
for
project
failures
and
cost
overruns
in
building
construction.
The
construction
industry
is
well
known
chronic
issues
such
as
fragmentation,
overruns,
poor
working
conditions,
insufficient
quality,
all
of
which
result
failure.
Project
failure
are
two
most
essential
indicators
success
a
because
they
have
an
equal
impact
on
participants,
both
favorably
negatively.
These
problems
been
evident
many
years
across
global
industry,
requiring
identification
primary
causes
to
address
these
challenges.
use
quantitative
qualitative
approaches
was
important,
it
made
easier
accomplish
overall
goal
solving
problem
data
were
collected
via
surveys
through
interviews.
Data
gathered
from
104
team
members
Pakistan's
industry.
top
five
management,
design,
frequent
design
changes,
errors,
bureaucracy,
corruption,
site
management.
start-up
planning,
estimation,
weather
political
situations,
economic
instability
country.
Minimizing
factors
can
contribute
greater
probability
improvement
Results in Engineering,
Journal Year:
2024,
Volume and Issue:
22, P. 102057 - 102057
Published: April 2, 2024
As
construction
projects
increase
in
complexity,
there
are
growing
challenges
with
conventional
monitoring
methods
terms
of
efficiency,
safety,
and
competitiveness.
Traditional
supervision
techniques
labour-intensive,
intermittent,
prone
to
errors.
Hence,
this
study
statistically
evaluates
the
potential
advantages
photogrammetry,
sensors,
algorithms
enable
continuous
automated
monitoring.
The
results
survey
were
analysed
compare
manual
systems.
outcome
shows
that
Malaysian
industry
is
aware
Automated
Monitoring
Innovations
for
Efficient
Safe
Construction
Practices.
top
ranked
factor
was
Photogrammetry
which
had
a
relative
importance
index
(RII)
0.821
straightforward
site
0.812
accelerated
3D
BIM
modelling.
RII
sensors
track
labourers,
apparatus,
progress
real
time
0.82,
while
hazard
anticipation
0.796.
Automation
achieved
reduction
fatigue
by
0.784,
labour
intensity
0.792,
demands
0.768,
as
measured
RII.
A
conceptual
framework
developed
incorporates
measurable
improvements
schedules,
quality
control.
solutions,
opposed
human
examinations
error,
provided
exhaustive
geographical
data
ongoing
surveillance
notwithstanding
obstacles
pertaining
cost,
cybersecurity,
privacy,
integration.
must
incorporate
new
technology,
strategic
change
management,
investments,
supporting
regulations
profitability,
efficiency
competition
complexity
increase.
Energies,
Journal Year:
2024,
Volume and Issue:
17(13), P. 3295 - 3295
Published: July 4, 2024
Achieving
sustainable
green
building
design
is
essential
to
reducing
our
environmental
impact
and
enhancing
energy
efficiency.
Traditional
methods
often
depend
heavily
on
expert
knowledge
subjective
decisions,
posing
significant
challenges.
This
research
addresses
these
issues
by
introducing
an
innovative
framework
that
integrates
information
modeling
(BIM),
explainable
artificial
intelligence
(AI),
multi-objective
optimization.
The
includes
three
main
components:
data
generation
through
DesignBuilder
simulation,
a
BO-LGBM
(Bayesian
optimization–LightGBM)
predictive
model
with
LIME
(Local
Interpretable
Model-agnostic
Explanations)
for
prediction
interpretation,
the
optimization
technique
AGE-MOEA
address
uncertainties.
A
case
study
demonstrates
framework’s
effectiveness,
achieving
high
accuracy
(R-squared
>
93.4%,
MAPE
<
2.13%)
identifying
HVAC
system
features.
resulted
in
13.43%
improvement
consumption,
CO2
emissions,
thermal
comfort,
additional
4.0%
gain
when
incorporating
enhances
transparency
of
machine
learning
predictions
efficiently
identifies
optimal
passive
active
solutions,
contributing
significantly
construction
practices.
Future
should
focus
validating
its
real-world
applicability,
assessing
generalizability
across
various
types,
integrating
generative
capabilities
automated
Transportation Engineering,
Journal Year:
2024,
Volume and Issue:
16, P. 100256 - 100256
Published: June 1, 2024
Road
Traffic
Accidents
(RTAs)
provide
a
substantial
risk
to
both
public
safety
and
infrastructure
within
severe
earthquake
zones.
This
research
aims
thorough
analysis
of
the
many
elements
that
contribute
RTAs
in
area.
Although
on
has
been
conducted
numerous
settings,
there
is
lack
localized
specifically
focused
developing
countries.
Therefore,
this
study
necessary
address
gap
literature.
Our
focuses
examining
distinct
issues
are
particular
specific
location.
The
objective
customized
solutions
effectively
reduce
occurrence
accidents.
examine
status
RTAs,
ascertain
main
factors
contributing
viable
approaches
improve
road
safety.
A
comprehensive
data
was
undertaken,
which
included
examination
key
highways,
accident-prone
areas,
causes
Insights
were
derived
by
use
statistical
analysis,
hotspot
mapping,
categorization
incidents.
results
revealed
distressing
roadway
afflicted
significant
frequency
accidents,
even
those
occurring
prominent
thoroughfares.
Excessive
speed
as
primary
factor,
closely
followed
negligence
recklessness.
common
factor
seen
these
events
insufficient
enforcement
traffic
regulations.
highlights
several
practical
consequences.
Firstly,
it
advised
implement
urgent
actions
such
upgrading
database,
adoption
contemporary
management
software,
rigorous
laws.
establishment
centralized
database
system
crucial
order
enhance
documenting
Furthermore,
cost-benefit
provides
justification
for
calming
measures
locations
with
high
incidence
implementation
continuous
awareness
efforts
clear
legislative
guidelines
pertaining
fatal
accidents
imperative
promoting
enhanced
Sustainability,
Journal Year:
2024,
Volume and Issue:
16(17), P. 7654 - 7654
Published: Sept. 3, 2024
The
building
sector
is
still
criticized
for
its
excessive
energy
use
and
negative
environmental
effects,
even
with
significant
improvements
in
recent
years.
It
makes
a
major
contribution
to
the
world’s
energy,
waste,
water
use.
This
study
investigates
possible
benefits
of
using
Building
Information
Modeling
(BIM)
technology
environmentally
friendly
methods.
also
seeks
identify
rank
obstacles
industry’s
integration
sustainability
BIM.
aims
accomplish
research
objectives
by
means
questionnaire
survey
approach.
three
primary
categories
associated
BIM
are
social,
economic,
environmental,
which
correspond
generally
acknowledged
elements
sustainable
development.
provision
centralized
database
that
facilitates
administration
full
lifetime,
less
material
increased
design
efficiency
have
all
been
noted
as
key
benefits.
In
industry,
approaches
shown
be
quite
successful
improving
practices.
does,
however,
point
out
few
difficulties.
number
people
degree
has
significantly,
but
there
not
enough
qualified
professionals
necessary
knowledge
experience.
Project
managers
skills
needed
oversee
deployment
successfully.
They
should
able
advice
counsel
clients
other
stakeholders
on
may
maximize
performance
structures
across
their
lifetimes
make
well-informed
decisions
integrating
concepts
into
process.
Energies,
Journal Year:
2025,
Volume and Issue:
18(1), P. 201 - 201
Published: Jan. 5, 2025
The
energy
performance
of
buildings
has
become
a
main
concern
globally
in
response
to
increased
demand,
the
environmental
impacts
production,
and
reality
poverty.
To
improve
efficiency,
proper
building
design
should
be
secured
at
early
phase.
Digital
tools
are
currently
available
for
performing
assessment
analyses
can
efficiently
handle
complex
technically
demanding
buildings.
However,
alternative
designs
checked
individually,
this
makes
process
time-consuming
prone
errors.
Machine
learning
techniques
provide
valuable
assistance
developing
decision
support
tools.
In
paper,
typical
residential
considered
along
with
eleven
factors
that
highly
affect
performance.
A
dataset
337
instances
such
parameters
is
developed.
For
each
dataset,
estimated
based
on
BIM
analysis.
Next,
statistical
machine
implemented
artificial
models
They
include
regression
modeling
(SRM),
trees
(DTs),
random
forests
(RFs),
neural
networks
(ANNs).
analysis
reveals
contribution
factor
highlights
ANN
as
best
model.
An
easy-to-use
interface
tool
been
developed
instantaneous
calculation
independent
parameter
values.
Smart and Sustainable Built Environment,
Journal Year:
2025,
Volume and Issue:
unknown
Published: March 24, 2025
Purpose
Achieving
net-zero
carbon
in
construction
offers
immense
environmental
and
economic
benefits,
but
its
widespread
adoption
developing
countries
faces
unique
challenges.
While
research
exists
on
construction,
the
specific
context
of
economies
like
Vietnam
remains
under-researched.
This
study
bridges
this
gap
by
investigating
potential
benefits
challenges
related
to
promoting
as
perceived
key
stakeholders
sector.
Design/methodology/approach
Employing
a
rigorous
methodology
with
four
main
phases,
data
collected
from
professionals
was
analyzed
using
various
statistical
techniques.
ANOVA
Tukey’s
post-hoc
analyses
were
employed
identify
differences
stakeholders’
perceptions,
while
identified
evaluated
ranked
based
their
mean
scores.
Findings
The
results
highlight
significant
difference
perception
among
stakeholders,
including
policymakers,
contractors,
suppliers
architects/designers.
In
addition,
all
acknowledge
social
particularly
improved
air
quality,
climate
change
mitigation
enhanced
corporate
responsibility;
persist,
high
initial
costs,
inadequate
business
models
lack
clear
standards.
Practical
implications
contributes
significantly
Vietnamese
sector
providing
valuable
recommendations
tailored
address
faced
each
stakeholder
group.
These
efforts
can
not
only
contribute
Vietnam’s
national
goals
also
serve
model
for
other
emerging
seeking
transition
towards
more
sustainable
built
environment.
Originality/value
body
knowledge
offering
comparative
analysis
how
perceive
countries.
stakeholder-centered
approach
enhances
practical
relevance
initiatives,
effective
inclusive
pathways
toward
practices
markets.
