Assessment of Low-Carbon Utilization in Territorial Space and Identification of Its Driving Factors: A Case Study of the Yangtze River Economic Belt in China
Land,
Год журнала:
2025,
Номер
14(4), С. 738 - 738
Опубликована: Март 29, 2025
The
low-carbon
utilization
(LCU)
of
territorial
space
represents
a
critical
strategy
for
addressing
climate
change
and
promoting
sustainable
development,
yet
current
assessments
in
this
domain
remain
insufficient.
This
study
develops
an
integrated
assessment
framework
utilizing
kernel
density
estimation,
optimal
parameter-based
geographical
detector,
the
Tobit
regression
model
to
analyze
spatiotemporal
evolution,
typology,
driving
factors
LCU
Yangtze
River
Economic
Belt.
findings
reveal
that
index
region
increased
from
0.548
2005
0.569
2020,
despite
significant
regional
disparities.
Cities
are
classified
into
eight
distinct
types
LCU,
with
over
80%
demonstrating
poor
performance
at
least
one
functional
space,
particularly
urban
where
number
cities
below
average
is
highest.
analysis
demonstrates
spaces
influenced
by
integration
natural
conditions,
socio-economic
factors,
landscape
patterns.
In
light
these
findings,
systematically
proposes
policy
recommendations
enhance
space.
research
contributes
establishment
scientific
evaluation
providing
empirical
evidence
improve
spatial
governance
policies
support
development.
Язык: Английский
Integrating the SDGs into Urban Regeneration: A Madrid Nuevo Norte Case Study Using an Adapted Voluntary Local Review Framework
Sustainability,
Год журнала:
2024,
Номер
16(22), С. 9727 - 9727
Опубликована: Ноя. 8, 2024
While
the
Sustainable
Development
Goals
(SDGs)
have
emerged
as
preeminent
sustainability
framework
across
various
spatial
scopes,
reporting
and
assessment
of
new
urban
developments
regeneration
projects
often
remain
tethered
to
frameworks
that
lack
direct
alignment
with
SDG
targets.
This
paper
proposes
a
integrate
within
initiatives.
approach
leverages
existing
resources,
such
Joint
Research
Center’s
(JRC)
European
Handbook
for
Voluntary
Local
Report
(VLR)
UN-Habitat’s
Global
Urban
Monitoring
Framework
(UMF),
report
potential
contributions
towards
progress.
The
is
validated
through
case
study
Madrid
Nuevo
Norte
(MNN),
one
largest
currently
developed
in
Europe,
located
northern
district
Spanish
capital
encompasses
3.2
million
square
meter
area.
methodology
evaluates
MNN
set
indicators
based
on
input–output/outcome–impact
track
causal
pathways
arising
from
activities.
presents
an
analysis
methodological
during
project-planning
phase,
focus
evaluating
framework’s
capacity
accurately
estimate
project’s
SDGs.
Язык: Английский