Optimizing Urban Green Space Configurations for Enhanced Heat Island Mitigation: A Geographically Weighted Machine Learning Approach
Yue Zhang,
No information about this author
Jingtian Ge,
No information about this author
Siyuan Wang
No information about this author
et al.
Sustainable Cities and Society,
Journal Year:
2024,
Volume and Issue:
unknown, P. 106087 - 106087
Published: Dec. 1, 2024
Language: Английский
Urban forests and public health: Analyzing the role of citizen perceptions in their conservation intentions
City and Environment Interactions,
Journal Year:
2025,
Volume and Issue:
unknown, P. 100189 - 100189
Published: Feb. 1, 2025
Language: Английский
Understanding the gnawing threat of encroachment of urban green spaces in Ghana’s growing urban fabric
Deleted Journal,
Journal Year:
2025,
Volume and Issue:
2(1)
Published: March 28, 2025
Language: Английский
Spatiotemporal association of urban park characteristics and physical activity levels based on GTWR: A serial cross-sectional observational study
Tao Zheng,
No information about this author
Junqi Chen,
No information about this author
Wenrui Wu
No information about this author
et al.
Journal of Urban Management,
Journal Year:
2024,
Volume and Issue:
13(3), P. 398 - 409
Published: May 23, 2024
Physical
inactivity
poses
a
significant
public
health
challenge.
Numerous
studies
have
argued
that
urban
parks
can
promote
physical
activity
(PA).
However,
evidence
of
observed
over
long
periods
time
in
is
still
very
lacking.
Our
serial
cross-sectional
study
within
Shanghai
investigated
seasonal
and
daily
variations
PA.
Employing
geographically
temporally
weighted
regression
(GTWR)
model,
we
established
spatiotemporal
relationships
between
park
characteristics
PA
levels.
We
found
(1)
Highest
levels
occur
winter,
while
the
lowest
are
summer,
with
V-shaped
pattern.
(2)
Robust
associations
specific
levels,
other
exhibited
varying
different
temporal
spatial
contexts.
These
insights
offer
valuable
guidance
for
planners
designers
aiming
to
create
more
active
sustainable
environments.
Language: Английский
A Study of the Relationship between Human Behavior and Urban Design during the Winter in a High-Snowfall Urban Area
Norihiro Watanabe,
No information about this author
Tsuyoshi Setoguchi
No information about this author
Sustainability,
Journal Year:
2024,
Volume and Issue:
16(10), P. 3983 - 3983
Published: May 10, 2024
This
study
focuses
on
the
relationship
between
outdoor
environment
and
usage
behavior
of
open
spaces
in
cities
with
snowy
cold
climates
(winter
cities),
using
an
survey
conducted
at
AKAPURA
Plaza
Sapporo,
Japan.
seeks
to
understand
walking
staying
behaviors
analyzes
their
relationships
environments.
An
analysis
data
shows
that
while
number
pedestrians
AKAPLA
decreased
as
temperatures
dropped,
ratio
did
not
decrease
despite
dropping
temperatures.
identified
following
three
design
principles
can
be
applied
encourage
urban
during
winter.
In
winter,
decreases
correlation
temperature;
however,
season,
encouraged
by
providing
areas
less
snow
(PATH).
Partially
snow-covered
photography
play
(STORAGE).
Finally,
routes
(APPROACH).
These
were
established
based
Sapporo
have
potential
widely
other
winter
across
world
through
future
research
analysis.
Language: Английский