Forests,
Journal Year:
2024,
Volume and Issue:
15(11), P. 1944 - 1944
Published: Nov. 5, 2024
Green
space
is
not
always
equitably
located
in
cities,
and
the
attractiveness
of
green
varies,
leaving
some
residents
with
easy
access
to
high-quality
parks
others
little
or
no
under-maintained
parks.
To
remedy
these
inequities,
this
study
identified
attractive
well-utilized
recreational
spaces
developed
a
model
measure
likelihood
using
(PSG).
The
goal
was
reduce
travel
time
cost
walking
public
transportation
get
design
all
be
attractive.
data
come
from
perspective
city’s
system
residents’
personal
choices.
First,
calculated
big
on
geolocation
cell
phones,
measuring
level
provision
trip
rates
urban
residents.
After
that,
reach
residential
areas
according
habits.
Finally,
probability
city
being
used
by
combining
population
size
areas.
Taking
Pu’er
City
China
as
an
example,
utilization
were
PSG,
results
showed
that
choosing
use
are
closer
area,
larger
capacity,
higher
highest.
help
promote
equitable
health
socialization
opportunities
for
individuals
communities,
thereby
promoting
environmental
justice
mitigate
respond
climate
change.
Urban forestry & urban greening,
Journal Year:
2024,
Volume and Issue:
96, P. 128366 - 128366
Published: May 15, 2024
Urban
green
spaces
(UGS)
are
an
important
foundation
for
supporting
sustainable
urban
development
and
benefiting
the
well-being
of
residents.
However,
access
to
is
a
complex
dynamic
process.
Existing
studies
have
mainly
used
single
method
assess
UGS
accessibility,
research
on
influencing
factors
has
less
focused
multi-variable
perspective.
In
this
study,
we
innovatively
integrated
four
methods—Container,
Distance,
Gravity,
2SFCA—to
accessibility
at
LSOA
level
in
Inner
London.
We
examined
impact
land
use
patterns,
space
types,
individual
characteristics
accessibility.
Then,
Spearman's
correlation
analysis
Ordinary
Least
Squares
(OLS)
regression
model
were
check
relationship
between
multiple
variables
with
The
main
findings
as
follows:
(1)
results
based
multi-method
reflect
variation
distribution
London,
more
than
80%
LSOAs
having
below-average
accessibility;
(2)
significantly
influenced
by
factors,
particularly
race,
income,
education,
crime,
office,
residential,
non-park
(multiple
types
beyond
parks).
This
study
highlights
inequalities
suggests
strategies
policymakers
improve
integration
planning.
