How do local governments respond to national urban containment policies? Evidence from China
Habitat International,
Год журнала:
2025,
Номер
157, С. 103320 - 103320
Опубликована: Фев. 16, 2025
Язык: Английский
Identifying the determinants of natural, anthropogenic factors and precursors on PM1 pollution in urban agglomerations in China: Insights from optimal parameter-based geographic detector and robust geographic weighted regression models
Environmental Research,
Год журнала:
2025,
Номер
unknown, С. 121817 - 121817
Опубликована: Май 1, 2025
Язык: Английский
Urban Spatial Blessing: Effect of Land Use Intensity on Human Development Index
Land,
Год журнала:
2025,
Номер
14(5), С. 1085 - 1085
Опубликована: Май 16, 2025
Urban
land
use
is
characterized
by
pronounced
externalities.
In
most
developing
countries,
economic
welfare
considerations
drive
the
changes
in
intensity,
leading
to
spatial
reallocation
of
resources
and
thereby
affecting
enhancement
urban
welfare.
This
study
combined
multi-source
data
construct
a
panel
dataset
284
prefectural-level
above
cities
China
from
2011
2022,
employed
Durbin
model,
heterogeneity
mechanism
model
systematically
analyze
spillover
effects
intensity
(ULUI)
on
(Human
Development
Index,
HDI),
its
heterogeneity,
underlying
influencing
mechanisms.
The
concluded
that:
(i)
Both
HDI
ULUI
have
shown
certain
improvement
despite
some
distinct
regional
heterogeneity;
(ii)
significantly
contributes
local
welfare,
yet
exerts
negative
effect
neighboring
cities,
effective
boundary
this
400
km.
(iii)
Spatial
analysis
revealed
that
for
non-eastern
non-megacities,
whereas
it
positive
eastern
megacities,
though
estimated
coefficients
are
relatively
small.
(iv)
terms
mechanism,
industrial
rationalization,
advancement,
agglomeration
market
dimension,
as
well
expenditure
scaling,
structuring,
public
serviceability
non-market
essential
channels
affect
both
cities.
results
indicate
current
“land-based”
not
conducive
there
an
urgent
need
better
understanding
principles
factor
allocation
agglomeration,
establishing
cross-regional
synergistic
mechanisms,
fully
leveraging
comparative
advantages
geographic
conditions
scale
across
different
so
improve
space
Язык: Английский
Does urban green space form influence the spatial pattern of noise complaints?
Sustainable Cities and Society,
Год журнала:
2025,
Номер
unknown, С. 106506 - 106506
Опубликована: Июнь 1, 2025
Язык: Английский
Evaluating the Spatial Heterogeneity and Driving Factors of Sustainable Development Level in Chengdu with Point of Interest Data and Geographic Detector Model
Land,
Год журнала:
2024,
Номер
13(7), С. 1018 - 1018
Опубликована: Июль 8, 2024
Over
the
past
few
decades,
China
has
undergone
largest
and
fastest
urbanization
process
in
world
history.
By
2023,
Chengdu’s
rate
had
reached
80.5%,
significantly
higher
than
national
average
of
66.16%.
Studying
experience
Chengdu
is
great
significance
for
optimizing
urban
planning
policies
other
cities
China.
Although
much
literature
explored
from
macro
micro
perspectives,
studies
using
a
top-down
approach
to
examine
fringe
expansion
are
relatively
scarce.
This
study
first
applies
entropy
weight
method
analyze
spatial-temporal
evolution
trends
development,
identifying
areas
imbalanced
development
prominent
issues.
Secondly,
K-means
machine
learning
algorithm
nightlight
data
used
reconstruct
classify
regions,
comparative
analysis
conducted
with
administrative
divisions
further
identify
unreasonable
spatial
distribution
structure.
Finally,
POI
geographical
detector
micro-driving
forces
major
limiting
factors
solutions.
The
found
that
gap
between
rural
narrowing
during
process,
but
there
severe
differentiation
second
circle
Chengdu,
where
economic
accelerating
residents’
happiness
declining.
Moreover,
based
on
land-use
reveals
urban-rural
mainly
concentrated
Chengdu.
Micro-level
driving
factor
western
region
many
small
settlements,
dense
road
network
scattered
functional
areas.
eastern
inefficient
extensive
use
construction
land.
Additionally,
mismatch
student
status
household
registration
resulted
lagging
educational
resource
high
entry
barriers
have
hindered
progress
urbanization,
leading
low
per
capita
welfare
expenditure.
These
reasons
main
causing
decline
happiness,
this
impact
shows
significant
differences
at
different
temporal
scales.
Encouraging
innovation
research
or
education
can
serve
as
long-term
effective
force
promoting
sustainable
urbanization.
provides
valuable
insights
scientifically
process.
Язык: Английский
Spatial Characteristics and Influencing Factors of People's Livelihood Issues Based on Urban Online Governance Platforms: A Case of Chengdu, China
Journal of Urban Planning and Development,
Год журнала:
2024,
Номер
150(4)
Опубликована: Июль 17, 2024
Язык: Английский
Exploring urban and agricultural land use planning
Results in Engineering,
Год журнала:
2024,
Номер
24, С. 103093 - 103093
Опубликована: Окт. 10, 2024
Язык: Английский
Analysis of the spatial characteristics and driving forces of underground consumer service space in Chinese megacities based on multi-source data
Sustainable Cities and Society,
Год журнала:
2024,
Номер
116, С. 105924 - 105924
Опубликована: Окт. 18, 2024
Язык: Английский
Support Vector Machine Based Spatiotemporal Variations and Influencing Factors of Carbon Storage in Typical Lake Basins of Xinjiang, China
Опубликована: Янв. 1, 2024
Under
the
influence
of
anthropogenic
and
climate,
lake
basins
have
undergone
varying
degrees
degradation
(VDD),
primarily
manifested
in
transformation
land
use
type
fluctuations
carbon
storage.
However,
accurate
assessment
effects
VDD
on
storage
remains
a
challenge.
In
this
study,
four
with
were
selected
based
community
characteristics
vegetation
coverage.
Based
method
support
vector
machine
(SVM)
to
classify
basins.
The
cover
changes
(LUCC)
quantified,
their
between
2000
2020
evaluated
using
Integrated
Valuation
Ecosystem
Services
Tradeoffs
(InVEST)
model.
results
showed
that
ecological
environment
Kanas
Sayram
Lake,
which
less
degraded,
was
still
being
compromised,
leading
reductions
forest
grassland
area.
On
contrary,
Bosten
Ulungur
Lake
characterized
by
more
severe
degradation,
signs
stabilization,
improvements
From
2020,
Bosten,
Kanas,
Basin
increased
12515.13
tC,
73184.50
80244.10
457130.55
respectively.
Grassland,
forest,
cropland
main
pools.
density
strong
spatial
correlation
Normalized
Difference
Vegetation
Index
(NDVI)
VDD.
This
study
contributed
deeper
comprehension
intricate
interplay
LUCC
within
affected
VDD,
offering
valuable
insights
for
estimation
broader
scale.
Язык: Английский