Economic Development for Empowering Local Communities
KnE Social Sciences,
Год журнала:
2024,
Номер
unknown
Опубликована: Июль 31, 2024
Srigonco
Village
is
located
in
the
southern
region
of
Malang
Regency.
The
village
directly
adjacent
to
south
coast
and
Southern
Cross
Route
(
JLS),
which
can
be
a
strategic
location
drive
economic
force
toward
raising
tourism
Balekambang
Beach.
Using
Local
Economic
Development
(LED)
method,
this
research
aims
map
potential
community-based
villages
improving
economy.
LED
an
instrument
for
developing
local
resource-based
activities
welfare
communities.
result
From
four
alternative
scenarios,
scenario
estimated
closest
predicting
situation
Village,
i.e.,
IV.
Unfortunately,
drives
worst
possible
results
compared
other
scenarios.
Some
reasons
selection
are
minimal
role
government
through
Bumdes
absence
MSMEs,
supposed
use
natural
resource
their
benefit.
Keywords:
Development,
villages,
communities
Язык: Английский
Operational LCA of a street with active mobility strategies in northern México
Transportation Research Part D Transport and Environment,
Год журнала:
2024,
Номер
135, С. 104374 - 104374
Опубликована: Авг. 27, 2024
Язык: Английский
Coupling cellular automata and What If? models for residential expansion simulation: A case study of Southwest Sydney, Australia
Transactions in GIS,
Год журнала:
2024,
Номер
28(6), С. 1465 - 1485
Опубликована: Июнь 14, 2024
Abstract
The
impact
of
urban
expansion
on
achieving
sustainable
development
goals
(SDGs)
has
become
a
significant
research
topic
in
the
field
geographic
information
science.
In
this
article,
we
describe
coupled
cellular
automata
(CA)—‐What
If?
model
to
explore
SDG11
“Sustainable
cities
and
communities.”
calculates
overall
residential
land
use
demand
based
historical
data
archives
using
What
planning
support
system
(PSS),
then
allocates
it
CA
that
incorporates
variables
related
SDG11.2.1
11.7.1.
Historical
datasets
for
years
2016
2021
from
Southwest
Sydney,
Australia
were
used
assess
accuracy,
after
which
two
scenarios
(years
2026)
generated.
Based
modeling
results,
SDG‐related
spatial
can
improve
accuracy
sub‐models
an
XGBoost
machine
learning
training
methodology.
simulation
results
these
confirm
effectiveness
CA‐What
model,
potential
generate
more
reliable
scenario
than
standalone
PSS
growth
across
internationally.
Язык: Английский