Sustainable Cities and Society,
Год журнала:
2023,
Номер
96, С. 104619 - 104619
Опубликована: Апрель 28, 2023
In
this
study,
we
investigate
the
compatibility
of
specific
vulnerability
indicators
and
heat
exposure
data
suitability
spatial
temperature-related
at
a
range
resolutions,
to
represent
temperature
variations
within
cities
using
from
Atlanta,
Georgia.
For
purpose,
include
various
types
known
theoretically
based
such
as
street-level
landscape
features
urban
form
metrics,
population-based
zone-based
variables
predictors,
different
measures
temperature,
including
air
(as
vector-based
data),
land
surface
(at
resolution
ranges
30
m
305
m),
mean
radiant
1
39
m)
dependent
variables.
Using
regression
analysis,
examine
how
sets
predictors
resolutions
can
explain
variation.
Our
findings
suggest
that
lower
data,
up
152
m,
15
may
still
satisfactorily
variation
caused
by
elements.
The
results
study
have
important
implications
for
heat-related
policies
planning
providing
insights
into
appropriate
relevant
measurements
representing
variations.
