Buildings,
Journal Year:
2024,
Volume and Issue:
14(9), P. 2978 - 2978
Published: Sept. 20, 2024
Although
it
is
well
established
that
thermal
environments
significantly
influence
travel
behavior,
the
synergistic
effects
of
points
interest
(POI)
and
on
behavior
remain
unclear.
This
study
developed
a
vision-based
outdoor
evaluation
model
aimed
at
uncovering
driving
factors
behind
human
in
spaces.
First,
Yolo
v5
questionnaires
were
employed
to
obtain
crowd
activity
intensity
preference
levels.
Subsequently,
target
detection
clustering
algorithms
used
derive
variables
such
as
POI
attractiveness
distance,
while
validated
environmental
simulator
was
utilized
simulate
comfort
distributions
across
different
times.
Finally,
multiple
classification
models
compared
establish
mapping
relationships
between
POI,
environment
variables,
preferences,
with
SHAP
analysis
examine
contribution
each
variable.
The
results
indicate
XGBoost
achieved
best
predictive
performance
(accuracy
=
0.95),
shadow
proportion
(|SHAP|
0.24)
distance
0.12)
identified
most
significant
influencing
preferences.
By
extrapolation,
this
can
provide
valuable
insights
for
optimizing
community
enhancing
vitality
areas
similar
climatic
cultural
contexts.
Smart Cities,
Journal Year:
2024,
Volume and Issue:
7(4), P. 2110 - 2130
Published: Aug. 1, 2024
This
research
addresses
the
urgent
challenges
posed
by
rapid
urbanization
and
climate
change
through
an
integrated
interdisciplinary
approach
combining
advanced
technologies
with
rigorous
scientific
exploration.
The
comprehensive
analysis
focused
on
Wuhan,
China,
spanning
decades
of
meteorological
land-use
data
to
trace
extreme
trajectories
reveal
intricate
temporal
spatial
patterns.
Employing
innovative
360°
radial
Fibonacci
geometric
growth
framework,
study
facilitated
a
meticulous
dissection
urban
morphology
at
granular
scales,
establishing
model
that
combined
fixed
mobile
observational
techniques
uncover
climatic
shifts
transformations.
Geographic
information
systems
computational
fluid
dynamics
were
pivotal
tools
used
explore
interplay
between
structures
their
environments.
These
analyses
elucidated
nuanced
impact
diverse
morphosectors
local
conditions.
Furthermore,
genetic
algorithms
harnessed
distill
meaningful
relationships
from
extensive
collected,
optimizing
arrangements
enhance
resilience
sustainability.
pioneering
not
only
illuminates
complex
ecosystems
but
also
offers
transformative
insights
for
designing
smarter,
more
adaptable
cities.
findings
underscore
critical
role
green
spaces
in
mitigating
heat
island
effects.
highlights
imperative
sustainable
planning
address
multifaceted
21st
century,
promoting
long-term
environmental
sustainability
health,
particularly
context
tomorrow’s
climate-adaptive
smart
Rapid
urbanization
in
China
has
exacerbated
the
urban
heat
island
(UHI)
effect,
posing
considerable
challenges
to
sustainability
and
public
health.
Most
UHI
studies
have
focused
on
impacts
of
two-dimensional
(2D)
urbanization,
which
involves
outward
city
expansion
increased
built-up
area.
However,
as
cities
mature,
they
typically
transition
from
horizontal
vertical
densification
(3D
urbanization),
leading
material
stock
density.
The
implications
this
shift
for
effect
remain
underexplored.
This
study
compared
2D
3D
urbanization-induced
across
384
Chinese
2000
2020,
using
impervious
surface
gridded
stocks.
Our
results
surprisingly
indicated
that
lost
explanatory
power
intensity
when
area
percentage
exceeded
87%.
Relative
importance
analysis
utilizing
a
random
forest
algorithm
revealed
population,
vegetation
abundance,
precipitation
significantly
moderated
effects
emphasizing
crucial
role
green
spaces
mitigating
thermal
stress.
examined
spatiotemporal
dynamics
China,
key
urbanization.
findings
highlight
urgent
need
incorporate
characteristics
devising
mitigation
strategies.
