Engineering Construction & Architectural Management,
Год журнала:
2025,
Номер
unknown
Опубликована: Фев. 10, 2025
Purpose
The
objective
of
this
study
is
to
accurately
predict
the
cost
green
buildings
provide
quantifiable
criteria
for
investment
decisions
from
investors.
Design/methodology/approach
This
proposes
a
hybrid
prediction
model
ML-based
GBPs
and
obtains
parameters
(PPs)
associated
with
project
characteristics
through
data
mining
(DM)
techniques.
integrates
principal
component
analysis
(PCA)
method
perform
parameter
dimensionality
reduction
(PDR)
on
large
number
raw
variables
independent
characteristic
terms.
Moreover,
support
vector
machine
(SVM)
algorithm
improved
optimize
results
integrated
prediction.
Findings
show
that
mean
absolute
relative
errors
proposed
in
are
equal
39.78
0.02,
respectively,
which
much
lower
than
those
traditional
SVM
MRA
model.
also
achieved
better
accuracy
(
R
2
=
0.319)
superior
different
Originality/value
Theoretically,
developed
can
reliably
while
capturing
GBPs,
bold
attempt
at
comprehensive
approach.
Practically,
provides
developers
new
capable
costs
projects
ambiguous
definitions
complex
characteristics.
Applied Energy,
Год журнала:
2024,
Номер
373, С. 123977 - 123977
Опубликована: Июль 25, 2024
In
China,
traditional
buildings
have
begun
to
exhibit
a
range
of
issues,
such
as
elevated
levels
energy
consumption
and
pollution.
Consequently,
these
concerns
led
substantial
resource
inefficiency
environmental
degradation.
The
evaluation
examination
green
are
utmost
importance
in
promoting
sustainable
development.
current
building
assessment
framework
is
intricate
lacks
sufficient
development
terms
visual
representation.
Developing
strategy
during
the
initial
design
phase
multifaceted
process
that
necessitates
allocation
human,
material,
financial,
temporal
resources.
this
study,
we
propose
an
incorporates
15
s-level
45
three-level
indicator
system,
along
with
4-level
classification
standard.
This
developed
based
on
most
recent
Chinese
Assessment
Standard
for
Green
Building
utilization
Information
Modeling
(BIM)
database.
Furthermore,
integration
BIM
Pathfinder
software
employed
assess
safety
aspects
buildings.
On
top
that,
combination
Ecotect
utilized
evaluate
performed
case
study
teaching
located
at
university
central
specifically
focusing
simulation
practices.
sequential
calculation
involves
determining
duration
personnel
evacuation,
assessing
lighting
conditions,
evaluating
thermal
analyzing
sound
examining
wind
conditions.
addition,
efforts
were
made
optimize
indicators
requiring
enhancement
order
enhance
efficacy
