Frontiers in Business Economics and Management,
Год журнала:
2023,
Номер
8(3), С. 227 - 229
Опубликована: Апрель 26, 2023
The
night
economy
is
an
important
representation
of
urban
economic
development
and
consumption
level.
Based
on
the
lighting,
data
POI
data,
spatial
clustering
algorithm
DBSCAN、K-means
other
algorithms
study
profit
loss
supply
demand,
model
area
domain
analysis
activity
hotspot
service
facility
are
established.
fusion
multi-source
provides
a
new
perspective
for
economy,
which
more
rapid,
efficient
extensive
than
traditional
survey
suitable
large-scale
economy.
Remote Sensing Applications Society and Environment,
Год журнала:
2024,
Номер
35, С. 101262 - 101262
Опубликована: Июнь 1, 2024
Jordan's
arid
ecosystems
face
a
threat
of
environmental
degradation
due
to
increasing
human
activities
driven
by
growing
population
and
economy.
This
study
assesses
Land
Use
Cover
(LULC)
changes
in
regional
ecoregional
landscapes,
particularly
region
with
an
east-west
gradient,
spanning
41
years
(1990-2030).
The
utilizes
the
Jordan
National
Dataset
(JNLCD)
for
historical
data
employs
CA-Markov
model
generate
future
land
cover
map.
results
revealsignificant
changes,
tripling
size
urban
areas
at
expense
primary
croplands.
Steppe
ecoregion,
known
its
fragility,
experienced
shifts
into
irrigated
agriculture
practices
loss
natural
rangelands.
period
between
2000
2015
marked
as
most
dynamic
landscape
underwent
significant
change
growth
influx
refugees.
During
this
period,
123
km2
rainfed
agricultural
were
consumed
urbanization
while
expanded
sparsely-vegetated/barren
(55
km2).
Additionally,
33
transformed
agriculture.
offers
comprehensive
innovative
analysis
LULC
ecosystems.
While
it
highlights
ecological
importance
potential
enhance
resilience,
also
underscores
negative
impact
interventions,
which
have
disrupted
spatial
arrangement,
connectivity,
stability,
structure.
By
bridging
projections,
employing
detailed
metrics,
addressing
socio-economic
drivers,
work
provides
valuable
insights
sustainable
use
planning
conservation
Jordan.
Environmental Impact Assessment Review,
Год журнала:
2023,
Номер
104, С. 107320 - 107320
Опубликована: Окт. 19, 2023
Faced
with
increasingly
severe
climate
change,
assessing
integrated
effects
of
Land
use
and
land
cover
(LULC)
changes
on
carbon
metabolism
contributes
to
the
understanding
mechanism
LULC‑carbon
interactions
is
crucial
enhance
benefits
anthropogenic
emission
reductions,
increasing
regional
sinks
formulating
future
mitigation
policies.
In
this
paper,
we
have
developed
a
hybrid
analytical
framework
that
couples
natural
socioeconomic
systems,
used
data,
high-resolution
remote
sensing
empirical
coefficients
analyze
spatiotemporal
dynamics
applied
ecological
network
analysis
(ENA)
evaluate
LULC
upon
metabolism.
We
Gansu
Province,
an
economically
underdeveloped
region,
as
example
for
case
policy
recommendations.
The
results
showed
that:
(1)
total
emissions
in
increased
3.18
times
between
1995
2020,
transportation
industrial
being
major
contributors.
balance
status
was
severe,
amount
sequestration
offset
decreased
from
22.45%
7.11%
2020.
(2)
ENA
revealed
competition
relations
types
fluctuated
up
dominated
mean
value
mutualism
index
0.72,
which
suggested
whole
negative.
Compared
regions,
relationships
different
were
more
competitive.
(3)
To
address
these
issues,
proposed
comprehensive
policies
terms
adjusting
structure,
reducing
fossil
energy
use,
saving
construction,
developing
sink
industries.
study
explored
intricate
changes,
transition,
its
findings
provide
insights
recommendations
spatial
planning
management
Province
other
regions
may
comparable
challenges.
Heliyon,
Год журнала:
2024,
Номер
10(7), С. e28744 - e28744
Опубликована: Март 26, 2024
This
study
takes
Shanghai's
restaurants
as
a
case
of
urban
soft
infrastructure,
employing
big
data
sets
from
third-party
website
platforms
for
multi-source
fusion,
to
deeply
analyze
the
impact
land
expansion
and
population
dynamics
on
availability,
affordability,
acceptability,
accessibility
restaurants.
The
reveals
that,
despite
Shanghai
municipal
authorities'
focus
mitigating
overcrowding
in
central
areas,
infrastructure
such
new
districts
remains
at
relative
disadvantage.
decentralization
peripheral
areas
has
not
met
policy
expectations,
presenting
spatial
imbalance
characterized
by
greater
provision
main
than
districts,
higher
Puxi
Pudong.
single-threshold
model
uncovers
that
positive
urbanization
restaurant
convenience
undergoes
transformation
after
reaching
certain
critical
point,
where
linear
relationship
synchronous
growth
shift.
By
controlling
development
area
construction
density
within
regions,
dynamic
combination
can
be
achieved.
forms
spatio-temporal
management
strategy
integrates
land,
population,
comfort
facilities,
potentially
alleviating
inequity
facilities
areas'
siphoning
effect.
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing,
Год журнала:
2024,
Номер
17, С. 12622 - 12636
Опубликована: Янв. 1, 2024
Achieving
the
sustainable
development
goals
puts
new
demands
on
land
use/land
cover
(LULC)
forecasting
and
thermal
environment
improvement.
Local
climate
zone
(LCZ)
characterization
reduces
LULC
uncertainty
in
research.
This
study
designed
a
future
multiscenario
LCZ
assessment
framework
that
integrates
remote
sensing
images,
patch-level
use
simulation
model,
contribution
algorithm.
An
urban
heat
island
(UHI)
classification
was
used
to
represent
degree
of
hazard.
We
sought
quantitatively
evaluate
spatiotemporal
distribution
its
hazard
explore
coordination
mode
patterns
environment.
considered
four
scenarios:
natural
scenario
(NDS),
(UDS),
food
security
scenario,
ecological
protection
scenario.
The
results
show
Shenyang
metropolitan
area
has
experienced
large-scale
urbanization,
forming
main
UHI
areas
with
Shenyang–Fushun,
Liaoyang–Anshan,
Fuxin
as
core.
is
expected
become
first
for
management
future.
produce
hazards
are
mainly
distributed
D
building-LCZs.
By
2060,
average
UDS
increase
by
1.035
°C
NDS
0.286
compared
2020.
From
perspective
"historical
future,"
provide
theoretical
reference
continuous
improvement
environmental
quality
era,
promoting
coordinated
actively
responding
change.
Land,
Год журнала:
2024,
Номер
13(10), С. 1566 - 1566
Опубликована: Сен. 26, 2024
Rapid
urbanization
in
developing
countries
leads
to
significant
land-use
and
land-cover
change
(LULCC),
which
contributes
increased
carbon
dioxide
(CO2)
emissions
the
degradation
of
storage.
Studying
spatio-temporal
changes
storage
is
crucial
for
guiding
sustainable
urban
development
toward
neutrality.
This
study
integrates
machine-learning
random
forest
algorithm,
CA–Markov,
InVEST
models
predict
distribution
Shenzhen,
China,
under
various
scenarios.
The
findings
indicate
that,
over
past
two
decades,
Shenzhen
has
experienced
changes.
transformation
from
high-
low-carbon-density
land
uses,
particularly
conversion
forestland
construction
land,
primary
cause
loss.
Forestland
mainly
influenced
by
natural
factors,
such
as
digital
elevation
model
(DEM)
precipitation,
while
other
(LULC)
types
are
predominantly
affected
socio-economic
demographic
factors.
By
2030,
projected
vary
significantly
across
different
scenarios,
with
greatest
decline
expected
scenario
(NDS)
least
ecological
priority
(EPS).
RF-CA–Markov
outperforms
traditional
CA–Markov
accurately
simulating
use,
small
scattered
types.
Our
conclusions
can
inform
future
low-carbon
city
optimization.
