Sustainability,
Год журнала:
2025,
Номер
17(9), С. 3828 - 3828
Опубликована: Апрель 24, 2025
Life
cycle
carbon
emissions
from
the
construction
industry
(CE)
have
a
profound
impact
on
China’s
“dual
carbon”
goals,
with
significant
posing
severe
challenges
to
environment.
In
this
paper,
four
prediction
models
were
trained
and
compared,
optimal
model,
Genetic
Algorithm
Optimized
BP
Neural
Network
(GA-BP),
was
finally
selected
for
multi-scenario
of
CE.
Firstly,
study
performs
comprehensive
accounting
indicator
analysis
CE
over
its
entire
life
cycle.
addition,
paper
further
conducts
spatial
differentiation
Subsequently,
parameter
conducted
using
an
improved
STIRPAT
followed
by
LMDI
factor
decomposition
based
model.
Finally,
model
performance
verified
three
evaluation
metrics:
coefficient
determination
(R2),
mean
absolute
error
(MAE),
percentage
(MAPE).
The
results
indicate
that
(1)
in
emission
assessment,
reached
peak
42.52
t
per
capita
annually
8.90
CO2/m2
unit
area;
(2)
year-end
resident
population
has
greatest
influence
CE,
other
related
variables
also
contributing
positively;
(3)
GA-BP
outperforms
models,
R2
increasing
0.0435
0.0981,
MAE
reducing
63%
76%,
MAPE
decreasing
23%
68%.
Buildings,
Год журнала:
2023,
Номер
13(7), С. 1697 - 1697
Опубликована: Июль 3, 2023
The
application
of
pre-cast
components
in
building
structures
has
become
increasingly
widespread,
with
projects
often
utilizing
steam
curing
methods.
utilization
pre-fabricated
concrete
demonstrated
the
capacity
to
enhance
construction
efficiency.
However,
strength
and
durability
issues
arising
from
have
prominent
considering
quality
construction.
use
fly
ash
slag
steam-cured
improve
its
performance
gained
extensive
popularity.
While
research
into
single-blended
mineral
admixtures
been
conducted
notable
achievements,
study
binary
blended
remains
relatively
limited.
This
paper
focuses
on
mechanical
properties
(fly
slag),
exploring
influence
admixture
ratios
steam-curing
regimes
concrete.
were
further
analyzed
through
compressive
tests,
mercury
intrusion
porosimetry,
thermogravimetric
analyses.
It
was
found
that
when
added
equal
proportions,
microstructure
optimized.
In
addition,
optimized
static
resting
time
constant
temperature
should
be
controlled
as
3
h
6
h,
respectively,
Sustainability,
Год журнала:
2025,
Номер
17(6), С. 2746 - 2746
Опубликована: Март 19, 2025
Financial
agglomeration
and
green
technology
innovation
are
important
measures
to
reduce
carbon
emissions
promote
the
development
of
a
economy.
Based
on
panel
data
30
provinces
cities
in
China
from
2011
2020,
this
paper
uses
locational
entropy
method
emission
coefficient
measurement
provided
IPCC
inventory
guide
establish
spatial
econometric
model
explore
specific
impact
financial
emission.
The
results
show
that
(1)
both
will
emissions;
(2)
when
considering
effect,
effectively
(3)
influence
has
regional
heterogeneity.
Only
can
significantly
eastern
region.
central
region
emissions.
western
emissions,
but
lead
an
increase
This
provides
useful
suggestions
for
optimizing
industry’s
structure,
improving
level
technology,
alleviating
environmental
pollution.
Applied Sciences,
Год журнала:
2025,
Номер
15(9), С. 4720 - 4720
Опубликована: Апрель 24, 2025
Green
technological
innovation,
as
a
critical
emerging
resource
element,
is
instrumental
in
advancing
sustainable
and
high-quality
development
of
the
construction
sector.
However,
despite
extensive
research,
synergistic
mechanism
linking
regional
green
technology
innovation
(RGTI)
carbon
reduction
industry
(CRCI)
remains
theoretically
underexplored,
especially
through
lens
new
quality
productivity
(NQP).
Based
on
dynamic
panel
data
from
30
Chinese
provinces
spanning
2013–2021,
this
study
employed
multiple
analytical
approaches,
including
econometric
models,
coupling
coordination
kernel
density
estimation,
Dagum
Gini
coefficient
decomposition,
to
systematically
examine
their
interactive
relationships
spatiotemporal
evolution
characteristics.
The
findings
reveal
that
RGTI
directly
reduces
emissions
intensity
yields
“dual-driving
effect”
mediating
role
NQP.
Significant
effects
were
identified
among
RGTI,
NQP,
CRCI.
Further
investigation
showed
manifests
distinct
“regional
lock-in
effects”
“polarization
effects”,
with
eastern
regions
achieving
positive
interactions,
while
central
western
remain
constrained
by
developmental
limitations.
Although
overall
disparities
narrowed
during
period,
inter-regional
differences
persisted
dominant
factor.
This
extends
research
perspective
reduction,
contributing
formation
emission
coordination.
Sustainability,
Год журнала:
2025,
Номер
17(9), С. 3828 - 3828
Опубликована: Апрель 24, 2025
Life
cycle
carbon
emissions
from
the
construction
industry
(CE)
have
a
profound
impact
on
China’s
“dual
carbon”
goals,
with
significant
posing
severe
challenges
to
environment.
In
this
paper,
four
prediction
models
were
trained
and
compared,
optimal
model,
Genetic
Algorithm
Optimized
BP
Neural
Network
(GA-BP),
was
finally
selected
for
multi-scenario
of
CE.
Firstly,
study
performs
comprehensive
accounting
indicator
analysis
CE
over
its
entire
life
cycle.
addition,
paper
further
conducts
spatial
differentiation
Subsequently,
parameter
conducted
using
an
improved
STIRPAT
followed
by
LMDI
factor
decomposition
based
model.
Finally,
model
performance
verified
three
evaluation
metrics:
coefficient
determination
(R2),
mean
absolute
error
(MAE),
percentage
(MAPE).
The
results
indicate
that
(1)
in
emission
assessment,
reached
peak
42.52
t
per
capita
annually
8.90
CO2/m2
unit
area;
(2)
year-end
resident
population
has
greatest
influence
CE,
other
related
variables
also
contributing
positively;
(3)
GA-BP
outperforms
models,
R2
increasing
0.0435
0.0981,
MAE
reducing
63%
76%,
MAPE
decreasing
23%
68%.
