International Journal of Digital Earth,
Год журнала:
2025,
Номер
18(1)
Опубликована: Янв. 23, 2025
The
COVID-19
pandemic
has
had
a
profound
impact
on
individual
human
behaviour,
making
it
prominent
research
topic
in
recent
years.
However,
most
studies
have
focused
mobility,
with
limited
attention
given
to
changes
residents'
activities
patterns.
Furthermore,
these
patterns
at
finer
spatiotemporal
scale
remain
understudied.
To
fill
this
gap,
we
analysed
and
compared
across
different
streets
time
slots
from
three
perspectives
–
activity
intensity
(HAI),
population
distribution,
daily
using
high-spatiotemporal-resolution
Baidu
heat
map
data.
First,
tracked
variations
HAI
for
each
street
the
lockdown
period
post-pandemic
era.
On
basis,
calculated
distribution
inferred
Our
results
revealed
that
trends
were
similar
all
streets,
but
relative
varied
slots.
Moreover,
pattern
of
changed,
shift
central
area
surrounding
regions.
Additionally,
transitioned
leisure
work
residential
activities,
more
pronounced
forenoon
afternoon
These
findings
provide
scientific
evidence
guiding
targeted
urban
management.
Annals of the American Association of Geographers,
Год журнала:
2022,
Номер
113(4), С. 834 - 856
Опубликована: Ноя. 28, 2022
The
COVID-19
pandemic
altered
the
local
economic
geographies
of
many
U.S.
cities,
and
it
remains
unclear
how
long
these
changes
will
persist.
This
study
analyzed
sociospatial
dynamics
business
closures
in
Miami-Dade
County,
Florida,
from
August
2020
to
2021
with
an
explicit
focus
on
reconciling
pandemic's
effects
context
location
theory.
We
found
that
traditional
urban
centers
transit-concentrated
areas
experienced
disproportionately
higher
rates
during
period,
suggesting
a
potential
wave
commercial
suburbanization
Miami.
Middle-class
working-class
Hispanic
neighborhoods
suffered
most
closures.
results
correlation
analysis
spatial
regression
models
suggested
positive
association
between
incidence
cases
at
both
zip
code
individual
levels.
These
also
beckon
revaluation
role
certain
externalities
importance
automobile
accessibility
agglomeration
are
poised
persist
beyond
pandemic,
but
benefits
proximity
public
transport
system
might
decline.
trends
observed
Miami
suggest
could
generate
more
automobile-reliant
employment
subcenters
cities
amplify
problems
intraurban
inequality
sprawl.
Forests,
Год журнала:
2023,
Номер
14(8), С. 1569 - 1569
Опубликована: Июль 31, 2023
While
urban
green
spaces
(UGSs)
are
important
places
for
residents’
leisure
activities,
studies
describing
the
long-term
daily
UGS
usage
of
residents
(including
total
number
types
and
touring
experience)
have
not
been
conducted
due
to
difficulties
in
data
collection.
Based
on
social
media
text
(SMTD),
this
study,
intensities
optional
experience
100
UGSs
Xiamen,
China,
were
inferred
based
ERNIE
3.0
pre-training
semantic
classification
model.
this,
linear
regression
modeling
was
applied
analyze
internal
environmental
factors
effects
external
form
regarding
usage.
The
research
results
revealed
following.
(1)
A
descriptive
study
numbers,
types,
activities
using
SMTD,
verified
by
line
transect
surveys,
management
statistics,
a
publicly
available
dataset.
(2)
human
found
be
significantly
influenced
historical
cultural
facilities,
nighttime
lighting,
population
density,
proportion
floating
population.
(3)
During
daytime,
park
type
facilities
density.
In
evening,
type,
population,
(4)
Regarding
experience,
space
ratio,
had
significant
experience.
security
methodology
findings
aid
understanding
differences
daytime
discovery
planning
tools
promote
UGSs.
International Journal of Digital Earth,
Год журнала:
2025,
Номер
18(1)
Опубликована: Янв. 23, 2025
The
COVID-19
pandemic
has
had
a
profound
impact
on
individual
human
behaviour,
making
it
prominent
research
topic
in
recent
years.
However,
most
studies
have
focused
mobility,
with
limited
attention
given
to
changes
residents'
activities
patterns.
Furthermore,
these
patterns
at
finer
spatiotemporal
scale
remain
understudied.
To
fill
this
gap,
we
analysed
and
compared
across
different
streets
time
slots
from
three
perspectives
–
activity
intensity
(HAI),
population
distribution,
daily
using
high-spatiotemporal-resolution
Baidu
heat
map
data.
First,
tracked
variations
HAI
for
each
street
the
lockdown
period
post-pandemic
era.
On
basis,
calculated
distribution
inferred
Our
results
revealed
that
trends
were
similar
all
streets,
but
relative
varied
slots.
Moreover,
pattern
of
changed,
shift
central
area
surrounding
regions.
Additionally,
transitioned
leisure
work
residential
activities,
more
pronounced
forenoon
afternoon
These
findings
provide
scientific
evidence
guiding
targeted
urban
management.
