ISPRS International Journal of Geo-Information,
Год журнала:
2024,
Номер
13(8), С. 282 - 282
Опубликована: Авг. 12, 2024
Urban
street
vitality
has
been
a
perennial
focus
within
the
domain
of
urban
planning.
This
study
examined
spatial
patterns
in
old
city
Nanjing
during
working
days
and
weekends
using
real-time
user
datasets
(RTUDs).
A
autoregressive
model
(SAM)
multiscale
geographically
weighted
regression
(MGWR)
were
employed
to
quantitatively
assess
impact
various
factors
on
their
heterogeneity.
revealed
following:
(1)
distribution
exhibited
structure
centered
around
Xinjiekou,
with
greater
regularity
predictability
than
weekends;
(2)
eight
variables,
such
as
traffic
location,
road
density,
functional
are
positively
associated
vitality,
whereas
green
view
index
is
negatively
commercial
location
benefits
at
but
detracts
from
days;
(3)
influence
variables
density
contingent
position.
Based
these
results,
this
provides
new
strategies
enhance
cities.
Geography and sustainability,
Год журнала:
2024,
Номер
5(3), С. 370 - 381
Опубликована: Март 22, 2024
Urban
vegetation
in
China
has
changed
substantially
recent
decades
due
to
rapid
urbanization
and
dramatic
climate
change.
Nevertheless,
the
spatial
differentiation
of
greenness
among
major
cities
its
evolution
process
drivers
are
still
poorly
understood.
This
study
examined
patterns
across
289
2000,
2005,
2010,
2015,
2018
by
using
autocorrelation
analysis
on
Normalized
Difference
Vegetation
Index
(NDVI);
then,
influencing
factors
were
analyzed
optimal
parameters-based
geographical
detector
(OPGD)
model
18
natural
anthropogenic
indicators.
The
findings
demonstrated
a
noticeable
rise
overall
selected
during
2000–2018.
northwest
east
exhibited
rapidest
slowest
greening,
respectively,
six
sub-regions.
A
significant
positive
correlation
was
detected
between
different
periods,
but
strength
weakened
over
time.
hot
very
spots
southern
eastern
gradually
shifted
southwest.
While
pattern
urban
is
primarily
influenced
wind
speed
(WS)
precipitation
(PRE),
interaction
PRE
gross
domestic
product
(GDP)
highest
explanatory
power.
power
most
decreased
and,
conversely,
influence
generally
increased.
These
emphasize
variations
multiple
pattern,
which
should
be
taken
into
account
understand
adapt
changing
ecosystem.
