Compressive strength resistance coefficient of sustainable concrete in sulfate environments: Hybrid machine learning model and experimental verification
Zhen Sun,
No information about this author
Yalin Li,
No information about this author
Bei Yang
No information about this author
et al.
Materials Today Communications,
Journal Year:
2024,
Volume and Issue:
39, P. 108667 - 108667
Published: March 19, 2024
Language: Английский
Adhering to systems thinking to promote the digital economy and carbon emission reduction—a provincial-level study in China
Environment Development and Sustainability,
Journal Year:
2025,
Volume and Issue:
unknown
Published: March 21, 2025
Language: Английский
Evaluating coupling coordination between urban smart performance and low-carbon level in China’s pilot cities with mixed methods
Xiongwei Zhu,
No information about this author
Dezhi Li,
No information about this author
Shenghua Zhou
No information about this author
et al.
Scientific Reports,
Journal Year:
2024,
Volume and Issue:
14(1)
Published: Sept. 3, 2024
The
construction
models
of
smart
cities
and
low-carbon
are
crucial
for
advancing
global
urbanization,
enhancing
urban
governance,
addressing
major
challenges.
Despite
significant
advancements
in
city
research,
a
consensus
on
their
coupling
coordination
remains
elusive.
This
study
employs
mixed-method
combining
qualitative
quantitative
analyses,
to
investigate
the
between
performance
(SCP)
level
(LCL)
across
52
typical
pilot
China.
Independent
evaluation
SCP
LCL
qualitatively
assess
current
state
construction.
Additionally,
an
Entropy–TOPSIS–Pearson
correlation–Coupling
degree
(ETPC)
analysis
model
quantitatively
examines
relationship.
results
reveal
that
initiatives
China
significantly
outperform
development,
with
notable
disparities
eastern,
non-resource-based,
central
versus
western,
resource-dependent,
peripheral
cities.
A
strong
positive
correlation
exists
overall
LCL,
correlations
management,
society,
economy,
moderate
weak
environmental
quality
culture.
As
levels
improve,
systems
also
increases,
driven
primarily
by
economic,
societal
factors.
Conversely,
subsystems
culture
show
poorer
integration.
Based
these
findings,
this
proposes
system
outlining
pathways
future
development
from
perspective
complex
systems.
Language: Английский
Is smart city low-carbon? Evidence from China
Xiongwei Zhu,
No information about this author
Dezhi Li,
No information about this author
Shiyao Zhu
No information about this author
et al.
Heliyon,
Journal Year:
2024,
Volume and Issue:
10(16), P. e35569 - e35569
Published: Aug. 1, 2024
Smart
cities
were
originally
conceived
to
address
a
myriad
of
urban
challenges
arising
from
rapid
urbanization,
including
energy
scarcity,
congestion,
and
environmental
degradation.
The
Chinese
government
has
made
substantial
efforts
advance
smart
city
initiatives.
However,
the
extent
which
integration
technologies
contributes
sustainability,
especially
within
high-carbon
urbanization
paradigm,
poses
critical
question
in
light
escalating
extreme
weather
events
worsening
global
challenges.
Urgency
is
underscored
prioritizing
low-carbon
strategies
frameworks.
This
paper
presents
Multicriteria
Decision
Making
Network
(MCDN)
approach
assess
rank
levels
(LCL)
36
pilot
China.
Findings
reveal
that
overall
LCL
among
these
remains
relatively
modest,
with
significant
disparities
attributed
varying
economic,
social,
institutional,
cultural,
contexts.
study
also
delves
into
nexus
between
intelligence
LCL,
highlighting
discernible
positive
correlation
city's
smartness
its
profile.
Moreover,
empirical
evidence
suggests
advancements
are
conducive,
albeit
degrees,
enhancing
LCL.
In
findings,
recommendations
fortify
economic
social
advancement,
bolster
management
practices,
foster
multi-stakeholder
collaboration
propel
coordinated
development
initiatives
Language: Английский
The path to China's zero‐carbon target: Implications for the relationship between de‐coal, economic output, and carbon dioxide emissions
Sustainable Development,
Journal Year:
2024,
Volume and Issue:
unknown
Published: June 28, 2024
Abstract
This
paper
investigates
the
asymmetric
impact
of
de‐coal
in
China
on
economic
output
and
carbon
dioxide
(CO
2
)
emissions
through
a
nonlinear
time
series
simulation
over
period
1965–2021.
The
research
also
estimates
effects
using
renewable
energy
as
an
alternative
fuel
to
replace
coal.
results
show
that
reducing
effect
CO
is
stronger
than
increasing
coal
consumption.
negative
growth
weak
or
insignificant.
While
contributes
output,
it
has
emissions.
At
end
paper,
China's
targets
achieve
neutrality
are
discussed
based
findings.
Language: Английский