Abstract
The
competitiveness
of
higher
education
is
an
important
symbol
to
measure
the
level
and
potential
economic
social
development.
Enhancing
driving
force
improve
our
system
realize
high
quality
sustainable
development
education.
At
present,
measurement
multi-dimensional
comprehensive
analysis
China’s
are
relatively
scarce.
Higher
a
complex
composed
multiple
factors.
This
article
uses
DPSIR
model
transform
operation
mechanism
into
simple
description.
TOPSIS
method
considers
weights
interrelations
among
indicators.
It
able
fully
consider
importance
can
not
only
avoid
influence
subjectivity
uncertainty
but
also
evaluate
decision
scheme
more
comprehensively.
study
panel
data
from
31
provinces
in
China
2008
2020
utilizes
construct
multidimensional
evaluation
index
for
measuring
level.
entropy
weight
employed
analyze
its
spatiotemporal
patterns.
Traditional
spatial
Kernel
density
estimation
methods,
as
well
Markov
chain
analysis,
used
explore
dynamic
evolution
long-term
transfer
trends
levels.
Dagum
Gini
coefficient
differences
sources
research
findings
indicate
that
overall
shows
increasing
trend,
with
eastern
region
having
significantly
compared
other
regions.
suggests
integrating
concept
development,
facing
gaps
between
regions,
adopting
tailored
strategies,
reducing
disparities
These
policy
insights
aim
provide
theoretical
references
foundations
enhancing
promoting
high-quality
Land,
Год журнала:
2025,
Номер
14(6), С. 1205 - 1205
Опубликована: Июнь 4, 2025
Exploring
the
spatiotemporal
evolution
of
urban
and
rural
settlements
in
African
countries
could
provide
critical
insights
into
patterns
urbanization,
regional
disparities,
sustainable
development
context
rapid
socio-economic
demographic
changes.
Using
global
human
settlement
data
alongside
multi-source
environmental
datasets,
this
study
investigates
dynamics
Tanzania
from
1975
to
2020.
A
combination
methods,
including
hotspot
analysis,
standard
deviation
ellipse
geographic
detectors,
is
employed
examine
characteristics
underlying
factors
contributing
differentiation.
The
findings
reveal
that
over
past
45
years,
expansion
centers
clusters
has
significantly
accelerated,
while
areas
have
experienced
a
corresponding
decline,
reflecting
shift
low-density
high-density
transformation
landscapes.
Dar
es
Salaam,
Mwanza,
Arusha
consistently
been
hotspots
for
center
growth,
Kagera
emerged
as
primary
clusters.
distribution
coldspots
generally
mirrors
spatial
centers,
clusters,
follows
northwest–southeast
orientation,
with
gradually
stabilizing.
However,
gap
between
northwest
southeast
widening
narrowing,
respectively.
Socio-economic
exert
stronger
influence
on
than
natural
factors.
Population
density,
GDP
road
network
density
are
significant
drivers
patterns,
their
intensifying
time.
Urban Ecosystems,
Год журнала:
2024,
Номер
27(5), С. 1905 - 1914
Опубликована: Май 28, 2024
Abstract
The
ecosystem
services
concept
has
been
studied
in
rural
contexts
but
not
as
much
urban
landscapes,
particularly
for
aquatic
ecosystems
Africa.
There
is
little
knowledge
of
how
people
perceive
(ES)
supplied
by
rivers
centres
and
the
factors
influencing
their
perceptions.
To
fill
this
gap,
research
presented
here
addresses
two
objectives:
1)
to
assess
local
communities’
perception
different
types
an
river
South
Africa,
2)
influence
particular
demographic
characteristics
(age
gender),
socio-economic
(education,
housing
type,
income,
years
residence),
prior
on
people’s
provided
Swartkops
River
Eastern
Cape
address
these
objectives,
a
team
ten
trained
field
staff
collected
181
surveys
between
May–June
2021
communities
within
catchment.
We
used
multinomial
logit
models
analyse
relationships
variables,
services.
For
majority
services,
there
was
almost
equal
split
“sometimes”
“never”
that
provides
service,
were
less
likely
say
always
provide
service.
Prior
concept,
residence,
age,
income
type
significantly
knowledge,
important
intangible
whereas
residence
more
tangible
with
direct
use
value.
Level
formal
education
significant
variable.
An
implication
study
ecological
interventions
can
be
designed
through
understanding
perceptions
Research Square (Research Square),
Год журнала:
2023,
Номер
unknown
Опубликована: Сен. 25, 2023
Abstract
The
rapid
urbanization
in
Africa
profoundly
affects
local
food
and
ecological
systems.
According
to
earlier
research,
may
cause
production
biodiversity
losses
as
agricultural
or
natural
lands
are
absorbed
by
expanding
cities.
Although
land
use
displacement
effects
potentially
buffer
lead
additional
losses,
they
often
overlooked.
Moreover,
of
urbanization-induced
dietary
changes
rarely
considered.
To
address
this,
we
combined
spatially-explicit
projections
African
urban
expansion
observed
rice
consumption
shifts
a
partial
equilibrium
model
(GLOBIOM).
We
highlight
the
importance
identify
potential
issues
accurately
argue
for
their
integration
land-use
planning
policymaking
across
spatial
scales.
also
show
that
accounting
increases
estimated
values
production,
trade,
methane
emissions
thereby
underscore
need
granularity
future
demand
predictions.
Land,
Год журнала:
2024,
Номер
13(7), С. 993 - 993
Опубликована: Июль 5, 2024
Studying
the
spatiotemporal
evolution
and
driving
forces
behind
construction
land
amidst
intricate
ecological
geological
setting
on
eastern
edge
of
Qinghai–Tibet
Plateau
offers
invaluable
insights
for
local
sustainable
development
in
a
landscape
transition
zone
ecologically
fragile
area.
Using
data
from
four
phases,
spanning
1990
to
2020,
Mianning
County,
this
study
employs
methodologies
like
Landscape
Expansion
Index
(LEI)
use
transfer
matrix
delineate
characteristics
land.
A
comprehensive
set
12
influencing
factors
across
five
categories—geomorphology,
activity,
climate,
river
vegetation
environment,
social
economy—were
examined.
The
Geographically
Weighted
Regression
(GWR)
model
was
then
employed
decipher
spatial
distribution
pattern
shedding
light
mechanisms
its
changes
over
three
decades.
research
reveals
distinct
patterns
shaped
by
landscape.
Notably,
Anning
River
wide
valley
exhibits
concentrated
contiguous
mode,
while
Yalong
deep
showcases
decentralized
pattern,
Dadu
basin
manifests
an
aggregation
mode
centered
around
high
mountain
lakes.
Over
period,
all
basins
witnessed
varying
degrees
expansion,
transitioning
quantitative
expansion
qualitative
enhancement.
Edge
predominantly
characterizes
complemented
leapfrog
infilling
modes,
accompanied
conversions
cropland
forest
An
analysis
drivers
change
highlights
human-induced
dominating
Basin,
contrasting
with
natural
prevailing
Basin
Basin.
Future
efforts
should
prioritize
climate
considerations
environmental
capacity,
aiming
resilient
African Geographical Review,
Год журнала:
2024,
Номер
unknown, С. 1 - 18
Опубликована: Авг. 29, 2024
Urban
expansion
in
Ethiopia,
particularly
informal
construction,
has
led
to
complex
and
dynamic
changes
livelihoods
wetlands.
This
study
examined
the
effects
of
urban
on
Cheleleka
Wetland
livelihood
peripheral
community
Hawassa.
A
mixed
research
design
was
used
quantitatively
analyze
Landsat
imagery
(1991,
2001,
2011,
2021)
socioeconomic
data.
Key
informant
interviews
focus
group
discussion
data
were
narrated
qualitatively.
The
built-up
area
substantially
increased
from
718.11
ha
1991
4820.71
2021.
However,
agricultural
wetland
areas
decreased
8807.58
8177.04
6382.44
7030.26
2021,
respectively.
Water
forest
fluctuated.
Built-up
had
a
significant
advantage
over
other
land
use
cover
classes,
with
agricultural,
wetland,
being
converted
into
throughout
period.
As
result,
Lake
Hawassa
expanded.
Currently,
been
negatively
impaired
by
overgrazing,
cutting
grass,
animal
dung
dumps,
eucalyptus
plantations,
expansion,
expansion.
exacerbated
social
economic
divisions,
resulting
concentration
poor-quality
neighborhoods
community.
To
protect
wetlands,
alternative
participatory
land-use
planning
are
crucial.
Sustainability,
Год журнала:
2024,
Номер
16(18), С. 8181 - 8181
Опубликована: Сен. 19, 2024
Sustainability
in
cities,
and
its
accurate
exhaustive
assessment,
represent
a
major
keystone
of
environmental
sciences
policy
making
urban
planning.
This
study
aims
to
provide
methods
for
reproducible,
descriptive,
predictive
prescriptive
analysis
residential
choices
mobility,
which
are
key
components
an
system’s
sustainability.
Using
the
DPSIR
framework
building
agent
evolution
rules,
we
design
agent-based
model
canton
Geneva,
Switzerland.
The
leverages
real
geographical
data
Geneva
public
transportation
network.
resulting
simulations
show
dynamics
relocation
commuters,
terms
function
their
travel
time
by
workplace.
Results
that
areas
around
city
centre
generally
preferred,
but
high
rent
prices
housing
availability
may
prevent
most
residents
from
relocating
these
areas.
Other
preferred
locations
distributed
tram
train
lines
where
lower.
associated
tools
capable
spatialising
aggregated
statistical
datasets,
inferring
spatial
correlations,
providing
qualitative
quantitative
dynamics.
Such
achievements
made
possible
thanks
efficient
visualisation
our
results.
modelling
methodology
represents
adequate
solution
understanding
complex
phenomena
related
sustainability
systems,
can
be
used
as
guidance
making.
Remote Sensing,
Год журнала:
2023,
Номер
15(17), С. 4326 - 4326
Опубликована: Сен. 2, 2023
Rapid
urban
expansion
caused
by
vigorous
population
growth
brought
up
various
socioeconomic
and
eco-environmental
problems,
which
have
important
ramifications
for
sustainable
development
across
the
world.
Along
with
accelerated
urbanization
process,
accurate
realistic
prediction
of
is
great
importance
to
optimize
planning
development.
This
study
proposed
a
new
hybrid
model,
combined
scaling
law
(USL)
ANN-CA
model
predict
expansion.
To
employ
in
we
innovatively
calculated
exponent
at
single-city
scale.
Based
on
USL,
estimated
land
demand
future
panel
data
regression.
Finally,
added
area
constraint
ecological
into
simulate
spatially.
frame
has
been
successfully
applied
Shenzhen,
would
increase
from
816.45
km2
2020
842.48
2025.
By
comparing
this
traditional
method,
proved
its
effectiveness
accuracy.
Besides,
found
that
can
reflect
level
distinguish
overconstructed
cities.
The
rapid
urbanization
in
Hawassa
City
has
caused
complex
and
dynamic
changes
the
peripheral
community's
livelihoods
wetlands.
This
study
aimed
to
investigate
effects
of
urban
expansion
on
Cheleleka
wetland
livelihood
community
City.
mixed
research
design
used
analyse
satellite
imagery
community.
Landsat
from
1991,
2001,
2011,
2021
was
classified
into
different
land
use
cover
(LULC)
classes
using
a
supervised
classification
approach
maximum
likelihood
algorithms.
Socio-economic
data
333
respondents
peri-urban
area
were
collected
through
cross-sectional
survey.
built-up
steadily
increased
718.11
hectares
1991
4820.71
2021.
However,
agricultural
areas
decreased
8807.58
8177.04
6382.44
7030.26
2021,
respectively.
water
forest
fluctuated.
had
significant
advantage
over
other
uses
classes,
with
agricultural,
wetland,
being
converted
throughout
periods.
largest
amount
agriculture
bodies.
As
result,
experienced
deterioration,
while
Lake
expanded.
Currently,
been
negatively
impacted
by
overgrazing,
grass
cutting,
animal
dung
dumps,
eucalyptus
plantation,
expansion,
erosion,
sedimentation.
exacerbated
social
economic
divisions,
reduced
interaction,
led
disagreements
boundary
delineation,
household
expenditure
commuting,
resulted
concentration
poor-quality
neighborhoods
To
mitigate
negative
impacts
effective
planning
management
are
needed.