Geography and sustainability,
Journal Year:
2024,
Volume and Issue:
5(3), P. 329 - 342
Published: Feb. 20, 2024
Understanding
the
spatial
interaction
among
residents,
cooling
service,
and
heat
risk
area
in
complex
urban
areas
is
conducive
to
developing
targeted
management.
However,
traditional
thermal
environment
assessments
typically
relied
on
simply
linear
integration
of
associated
indicators,
often
neglecting
effect.
To
explore
three
elements,
this
study
proposes
an
accessibility-based
assessment
framework.
Using
Zhengzhou,
a
rapidly
urbanizing
city,
as
example,
remotely
sensed
images
from
periods
(2010,
2015
2020)
were
applied
extract
green
space
(UGS)
hot
island
(HIA).
An
improved
two-step
floating
catchment
(2SFCA)
method
bivariate
local
Moran'
I
employed
whether
residents
clustering
locations
are
more
likely
access
service
or
be
exposed
risk.
The
results
demonstrate
that
UGS
city
has
been
expanding,
whereas
HIA
shrank
within
inner
then
increased
2020.
Even
though
may
last
decade,
could
exacerbated.
Spatial
autocorrelation
shows
increase
disadvantageous
for
resident
congregation.
when
sufficient
services
provided,
these
still
high
developed
framework
provides
novel
insight
into
residents'
exposure
accessibility,
findings
assist
planners
targeting
improvement
extra
locations.
International Journal of Applied Earth Observation and Geoinformation,
Journal Year:
2023,
Volume and Issue:
118, P. 103261 - 103261
Published: March 16, 2023
The
increasing
anthropogenic
heat,
which
is
emitted
from
human
activities
and
energy
consumption
in
urban
areas
migrates
to
the
atmosphere,
significantly
alters
surface
balances
local
climate
turn
generates
heat
islands
(UHIs).
Anthropogenic
flux
(AHF)
has
been
estimated
with
balance
residual
inventory
methods.
However,
these
methods
have
large
uncertainty
fail
further
explore
spatial
distribution
of
at
scales
due
limited
data
availability
complexities
activities,
geometry,
landscapes
building
thermal
properties.
From
sources
UHIs
based
on
thermodynamics,
this
study
deduces
that
AHE
difference
between
surrounding
rural
can
be
quantified
as
for
natural
radiation
areas.
Thus,
an
index
(UAHI)
proposed
quantify
contribution
AHF
UHIs,
a
proxy
AHF.
UAHI
generated
using
normalized
differences
urban–rural
land
temperature
(LST)
albedo
derived
both
Landsat
MODIS
data.
We
investigate
temporal
association
Beijing.
results
demonstrated
average
annual
UAHIs
Beijing
ranged
0.168
0.208
steadily
improved
last
decade.
represent
detailed
heterogeneity
variations
correlation
coefficients
range
35%
50%.
also
identify
dynamics
hotspots
heating
cooling
Overall,
convincing
indicator
providing
new
option
quantifying
improving
knowledge
environments.
Geography and sustainability,
Journal Year:
2024,
Volume and Issue:
5(3), P. 329 - 342
Published: Feb. 20, 2024
Understanding
the
spatial
interaction
among
residents,
cooling
service,
and
heat
risk
area
in
complex
urban
areas
is
conducive
to
developing
targeted
management.
However,
traditional
thermal
environment
assessments
typically
relied
on
simply
linear
integration
of
associated
indicators,
often
neglecting
effect.
To
explore
three
elements,
this
study
proposes
an
accessibility-based
assessment
framework.
Using
Zhengzhou,
a
rapidly
urbanizing
city,
as
example,
remotely
sensed
images
from
periods
(2010,
2015
2020)
were
applied
extract
green
space
(UGS)
hot
island
(HIA).
An
improved
two-step
floating
catchment
(2SFCA)
method
bivariate
local
Moran'
I
employed
whether
residents
clustering
locations
are
more
likely
access
service
or
be
exposed
risk.
The
results
demonstrate
that
UGS
city
has
been
expanding,
whereas
HIA
shrank
within
inner
then
increased
2020.
Even
though
may
last
decade,
could
exacerbated.
Spatial
autocorrelation
shows
increase
disadvantageous
for
resident
congregation.
when
sufficient
services
provided,
these
still
high
developed
framework
provides
novel
insight
into
residents'
exposure
accessibility,
findings
assist
planners
targeting
improvement
extra
locations.