Buildings,
Год журнала:
2024,
Номер
14(11), С. 3626 - 3626
Опубликована: Ноя. 14, 2024
Rapid
urbanization
has
intensified
public
housing
development
and
building
density,
posing
significant
challenges
to
residents’
well-being
urban
sustainability.
With
the
population
of
Greater
Bay
Area
on
rise,
enhancing
spatial
quality
is
now
essential.
The
study
proposed
a
quantitative
framework
evaluate
relationship
between
residential
design
elements
perceived
density
in
high-density
neighborhoods.
It
employed
virtual
reality
perception
experiment
analyze
indicators
by
investigating
16
layout
models
3
configurations:
Tower-Enclosed,
Balanced
Slab-Enclosed,
Staggered
Slab-Enclosed.
results
indicate
that:
(1)
greater
height
intensifies
leading
sensations
overcrowding
discomfort;
(2)
an
increased
sky
ratio
mitigates
fostering
more
open
pleasant
environment;
(3)
recessed
facades
enhance
perception;
(4)
Slab-Enclosed
Layout
configurations
receive
most
favorable
evaluations
regarding
density.
authors
attempt
go
beyond
current
regulations
propose
tailored
solutions
for
Shenzhen’s
context,
improving
efficiency
comfort
future
designs.
finding
provides
scientific
evidence
support
planners
policymakers
developing
resilient
sustainable
Buildings,
Год журнала:
2025,
Номер
15(7), С. 1205 - 1205
Опубликована: Апрель 7, 2025
This
study
explores
the
driving
factors
of
household
energy
consumption
in
high-density
residential
areas
Beijing
and
proposes
targeted
energy-saving
strategies.
Data
were
collected
through
field
surveys,
questionnaires,
interviews,
covering
16
influencing
across
household,
building,
environment,
transportation
categories.
A
hyperparameter-optimized
ensemble
model
(XGBoost,
RF,
GBDT)
was
employed,
with
XGBoost
combined
genetic
algorithm
tuning
performing
best.
SHAP
analysis
revealed
that
key
varied
by
season
but
included
floor
level,
daily
travel
distance,
building
age,
greening
rate,
water
bodies,
age.
The
findings
inform
strategies
such
as
optimizing
workplace–residence
layout,
improving
insulation,
increasing
green
spaces,
promoting
community
programs.
provides
refined
data
support
for
management
areas,
enhances
application
technologies,
encourages
low-carbon
lifestyles.
By
effectively
reducing
carbon
emissions
during
operational
phase
it
contributes
to
urban
development
China’s
“dual
carbon”
goals.
