Socioecological justice in urban street greenery based on green view index-A case study within the Fuzhou Third Ring Road
Ziqing Huang,
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Liyu Tang,
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Peng Qiao
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et al.
Urban forestry & urban greening,
Journal Year:
2024,
Volume and Issue:
95, P. 128313 - 128313
Published: March 26, 2024
Language: Английский
Assessing urban vegetation inequalities: Methodological insights and evidence
Ecological Informatics,
Journal Year:
2025,
Volume and Issue:
unknown, P. 102987 - 102987
Published: Jan. 1, 2025
Language: Английский
Uses, attitudes and perceptions of urban green spaces according to the sociodemographic profile: An exploratory analysis in Spain
Cities,
Journal Year:
2024,
Volume and Issue:
150, P. 104996 - 104996
Published: April 13, 2024
This
exploratory
work
analyzes
the
uses
and
attitudes
of
a
sample
Spanish
population
towards
urban
green
spaces
(UGS),
through
questionnaire
that
reviews
aspects
such
as
perception
they
have
before
during
Covid-19
pandemic.
The
identification
profiles
related
to
fear
in
UGS
at
night
degree
user
acceptance
regarding
services
disservices
these
will
also
be
analyzed.
Results
show
pandemic
had
significant
impact
on
type
visited
activities
carried
out
them,
due
strict
measures
adopted
by
government
manage
crisis,
which
included
closure
UGS.
segmentation
analysis
developed
assess
socio-demographic
profile
revealed
women
under
40
years
old
are
most
highly
likely
afraid
darkness,
loneliness
or
insecurity.
Regarding
acceptance,
confirmatory-factor
established
different
clusters
according
favorability
UGS,
rejection
caused
trees
intensity
demand
for
administration
carry
its
functions.
provides
relevant
information
attended
when
rethinking
redesigning
so
accommodate
real
needs
population.
Language: Английский
Identification of Inequities in Green Visibility and Ways to Increase Greenery in Neighborhoods: A Case Study of Wuhan, China
Xiaohua Guo,
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Chang Liu,
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Shibo Bi
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et al.
Applied Sciences,
Journal Year:
2025,
Volume and Issue:
15(2), P. 742 - 742
Published: Jan. 13, 2025
The
rapid
increase
in
urban
population
density
driven
by
development
has
intensified
inequity
green
space
distribution.
Identifying
the
causes
of
changes
equity
and
developing
strategies
to
improve
greening
are
crucial
for
optimizing
resource
allocation
alleviating
social
inequalities.
However,
long-term
spatio-temporal
evolution
visibility
remains
underexplored.
This
study
utilized
“Time
Machine”
feature
capture
street
view
images
from
2014,
2017,
2021,
analyzing
its
across
residential
communities
Wuhan.
Deep
learning
techniques
statistical
methods,
including
Gini
coefficient
location
quotient
(LQ),
were
employed
assess
distribution
spatial
street-level
greenery.
results
showed
that
overall
Wuhan
increased
4.18%
between
2014
2021.
this
improvement
did
not
translate
into
better
equity,
as
consistently
ranged
0.4
0.5.
Among
seven
municipal
districts,
only
Jiang’an
District
demonstrated
relatively
equitable
2017
Despite
a
gradual
reduction
disparities
visibility,
mismatch
persisted
UGS
growth
distribution,
leading
uneven
patterns
equity.
explores
factors
driving
inequities
proposes
enhance
greening.
Key
recommendations
include
integrating
evaluation
framework
planning
guide
fair
allocation,
prioritizing
greenery
low-income
neighborhoods,
reducing
hardscapes
support
planting
maintenance
tall
canopy
trees.
These
measures
aim
accessible
visible
resources
promote
access
communities.
Language: Английский
(Un)just Distribution of Visible Green Spaces? A Socio-Economic Window View Analysis on Residential Buildings: The City of Cologne as Case Study
Journal of Geovisualization and Spatial Analysis,
Journal Year:
2025,
Volume and Issue:
9(1)
Published: March 3, 2025
Language: Английский
The spatial heterogeneity of urban green space distribution and configuration in Lilongwe City, Malawi
PLoS ONE,
Journal Year:
2024,
Volume and Issue:
19(7), P. e0307518 - e0307518
Published: July 24, 2024
Urban
green
spaces
provide
several
benefits
related
to
the
quality
of
urban
life.
The
existence
and
spatial
arrangement
these
within
neighbourhoods
functional
land
uses
have
significant
implications
for
well-being
dwellers.
Previous
studies
on
in
areas
Malawi
focused
a
broader
macro-level
perspective,
offering
insightful
information
general
trends
different
cities.
However,
there
is
research
shortage
localised
understanding,
which
requires
carrying
out
micro-level
assessments
concentrating
use
zones
In
this
study,
we
used
remote
sensing
data
landscape
metrics
understand
distribution
configuration
city's
their
relationship
with
form.
study
revealed
that
20%
fail
meet
WHO-recommended
standard
9
m2
space
per
person,
predominant
concentration
undersupplied
high-density
quasi-residential
zones.
addition,
56.2%
Lilongwe
City's
total
area
was
contained
under
uses.
Particularly,
high-rise
residential,
medium-density
low-density
quasi-residential,
flat
area,
commercial
class,
commercial,
heavy
industry,
light
government
17.3%,
12.0%,
22.2%,
4.1%,
6.4%,
6.1%,
5.0%,
1.6%,
13.3%
uses,
respectively.
Importantly,
found
correlations
between
form
metrics,
namely
building
coverage,
density,
perimeter
ratio,
road
spaces.
This
necessitates
an
integrated
approach
planning
design,
emphasising
importance
balancing
development
preservation.
Language: Английский