International conference on civil infrastructure and construction/Proceedings of the ... International conference on civil infrastructure and construction,
Год журнала:
2023,
Номер
unknown, С. 1087 - 1095
Опубликована: Фев. 1, 2023
To
date,
many
strategies
have
been
executed
to
combat
the
COVID-19
disease,
including
provision
of
good
ventilation
in
buildings
reduce
spread
virus.
Open
or
semi-open
space
with
air
exchange
between
indoor
and
outdoor
provides
better
condition
compared
enclosed
mechanical
ventilation.
However,
design
public
buildings,
especially
shopping
malls
hot
humid
climate
are
mostly
enclosed,
high
usage
air-conditioning
systems.
Due
situation,
it
is
found
that
typical
approach
mall
needs
be
revised
improved.
Hence,
this
study
conducted
intention
derive
an
initial
idea
regarding
new
a
able
less
dependent
on
system.
The
method
for
preliminary
semi-structured
interview
three
respondents
possess
experience
involving
projects,
namely
architect
engineer.
findings
from
show
all
agreed
systems
should
implemented
malls.
They
also
emphasized
located
climate,
merely
natural
impractical,
providing
thermal
comfort
users.
recommended
hybrid
ventilation,
which
combines
This
significant
as
encourages
other
studies
related
design,
climate.
International Journal of Environmental Research and Public Health,
Год журнала:
2023,
Номер
20(2), С. 1422 - 1422
Опубликована: Янв. 12, 2023
Characteristics
of
the
urban
environment
(e.g.,
building
density
and
road
network)
can
influence
spread
transmission
coronavirus
disease
2019
(COVID-19)
within
cities,
especially
in
high-density
high-rise
built
environments.
Therefore,
it
is
necessary
to
identify
key
attributes
environments
enhance
modelling
COVID-19.
To
this
end,
case
studies
for
testing
development
were
performed
two
densely
populated
Chinese
cities
with
high-rise,
(Hong
Kong
Shanghai).The
investigated
environmental
features
included
2D
3D
morphological
indices
sky
view
factor,
floor
area
ratio,
frontal
density,
height
width
coverage
ratio),
socioeconomic
demographic
population),
public
service
points-of-interest
bus
stations
clinics).
The
effects
on
infection
rate
are
notable
communities.
As
spatial
scale
becomes
larger,
effect
factors
ratio)
more
notable.
several
ratio
population
density)
at
different
scales
be
considered
when
risk
findings
study
clarify
how
applied
predict
infectious
diseases.
This
knowledge
used
develop
effective
planning
strategies
prevent
control
epidemics
ensure
healthy
cities.
Frontiers in Public Health,
Год журнала:
2024,
Номер
11
Опубликована: Янв. 8, 2024
Epidemics
are
dangerous
and
difficult
to
prevent
control,
especially
in
urban
areas.
Clarifying
the
correlation
between
COVID-19
Outbreak
Frequency
spatial
environment
may
help
improve
cities’
ability
respond
such
public
health
emergencies.
In
this
study,
we
firstly
analyzed
distribution
characteristics
of
by
correlating
geographic
locations
epidemic-affected
neighborhoods
city
Beijing
with
time
point
onset.
Secondly,
created
a
geographically
weighted
regression
model
combining
external
environmental
elements
city.
Thirdly,
different
grades
study
area
were
classified
according
clustering
analysis
results.
Finally,
internal
was
investigated
using
binomial
logistic
model.
The
yielded
following
(i)
Epidemic
outbreak
frequency
evidently
correlated
environment,
among
building
density,
volume
ratio,
density
commercial
facilities,
service
transportation
facilities
positively
Frequency,
while
water
greenery
coverage
negatively
it.
(ii)
differed.
House
price
number
households
low-end
neighborhoods,
mid-end
neighborhoods.
order
achieve
justice,
society
should
strive
address
inequality
phenomena
income
gaps
residential
differentiation,
promote
fair
environments.
Archives of Public Health,
Год журнала:
2025,
Номер
83(1)
Опубликована: Март 25, 2025
This
paper
reports
the
structure
of
grey
space
and
number
cases
deaths
throughout
COVID-19
pandemic
(from
March
2020
to
June
2023)
in
66
city
counties
Poland.
Three
main
components
urban
(built-up
areas,
transport
industrial
areas)
potential
physical
distance
between
residents
open
–
was
determined.
The
total
covered
entire
period
(totalling
1,214
days)
identified.
incidence
mortality
density
rates
case
fatality
ratio
were
calculated.
Simple
multiple
linear
regression
models
developed
predict
quantitative
characteristics
independent
size.
Within
spaces
cities,
average
17.7
m
several
times
greater
than
that
closed
(1.5–2.0
m),
which
significantly
reduced
risk
infection.
Strong
relationships
observed
deaths.
coefficient
determination
(R2)
for
these
eight
groups
by
population
0.90
0.88
(significance
level
p
=
0.001).
study
contributes
understanding
how
based
on
space,
might
have
influenced
course
during
pandemic.
These
findings
can
be
applied
planning
antiviral
protection
implementing
future
multilevel
restrictions
aimed
at
reducing
reproduction
SARS-CoV-2
cities
various
sizes.
Heliyon,
Год журнала:
2023,
Номер
9(9), С. e19773 - e19773
Опубликована: Сен. 1, 2023
Since
2019,
COVID-19
has
triggered
a
renewed
investigation
of
the
urban
environment
and
disease
outbreak.
While
results
have
been
inconsistent,
it
observed
that
quantity
green
spaces
(UGS)
is
correlated
with
risk
COVID-19.
However,
spatial
pattern
largely
ignored,
especially
on
community
scale.
In
high-density
communities
where
difficult
to
increase
UGS
quantity,
could
be
crucial
predictive
variable.
Thus,
this
study
investigated
relative
contribution
patterns
at
scale
using
random
forest
(RF)
regression
model
based
(n
=
44)
in
Wuhan.
Findings
suggested
8
indicators
can
explain
35%
COVID-19,
four
metrics
contributed
most
were
core,
edge,
loop,
branch
whereas
least.
The
potential
mechanisms
between
are
discussed,
including
influence
space
residents'
social
distance
environmental
factors
community.
This
offers
new
perspective
optimizing
for
public
health
sustainable
city
design
combat
pandemics
inspire
future
research
specific
relationship
therefore
help
establish
pandemics.
Polish Journal of Environmental Studies,
Год журнала:
2024,
Номер
33(3), С. 3263 - 3281
Опубликована: Март 28, 2024
The
use
of
social
media
has
played
a
significant
role
in
influencing
individuals'
perceptions
community
resilience,
particularly
the
face
global
disasters.The
study
focuses
on
city
Harbin
northeastern
China
to
examine
public
responses
pandemic
and
assess
perceived
resilience
regions
severely
affected
by
recurrent
epidemics
spatio-temporal
context
using
data.The
results
show
that
urban
centers,
characterized
high
population
density
well-developed
infrastructure,
had
highest
level
concern
about
epidemic.In
addition,
users
associated
with
universities
research
institutions
showed
positive
attitudes
towards
epidemic.Public
reactions
were
most
pronounced
during
periods
strict
prevention
control
measures,
an
increase
out-break-related
tweets
prevalence
negative
sentiment.The
highlights
differences
between
people
from
different
backgrounds
impact
epidemic
related
measures
aspects
daily
life.Based
findings,
policy
are
proposed
improve
preparedness,
covering
both
physical
infrastructure
human
factors.This
contributes
deeper
understanding
Chinese
provides
valuable
insights
for
planning
management
underdeveloped
regions.
