OECD rural studies,
Journal Year:
2020,
Volume and Issue:
unknown
Published: May 19, 2020
Towns
and
villages
host
many
different
types
of
public
private
service
providers
that
people
frequently
access.However,
access
to
those
services
can
vary
significantly
depending
on
where
live.For
example,
rural
residents
tend
have
longer
journey
times
services,
sometimes
than
their
urban
counterparts.This
impact
individual
well-being
broader
societal
goals
such
as
inclusiveness
environmentally
sustainable
growth.While
electronic
delivery
is
highly
promising,
it
not
always
an
effective
substitute,
especially
the
requires
some
form
physical
intervention,
for
example
surgical
interventions
in
hospitals
or
cash
withdrawals
from
banks.Moreover,
parameters
within
which
national
local
governments
operate
provide
are
changing
light
sizeable
demographic
changes,
with
regions
losing
population
facing
substantial
ageing.This
report
investigates
potential
these
changes
spatial
reorganisation
OECD
countries,
including
through
case
studies
benchmarks
towns
villages,
depending,
a
city
(or
lack
thereof).
ABSTRACT
The
estimation
of
road
disruptions
due
to
building
debris
in
urban
contexts
requires
the
availability
exposure
data
at
level,
which
is
often
not
available.
In
this
study,
we
explore
how
open
global
datasets
different
scales
can
be
integrated
with
machine
learning
algorithms
estimate
following
seismic
events,
overcoming
need
for
detailed
datasets.
Using
simulated
impact
municipality
Lisbon,
train
a
Random
Forest
model
predict
collapses.
Then,
apply
another
environment
(the
Amadora)
evaluate
performance
using
input
unseen
during
training
process.
Finally,
employ
surrogate
information
extracted
from
globally
available
characterizing
built
and
network.
proposed
approach
allows
identifying
areas
within
centers
where
are
likely
occur,
risk
reduction
measures
should
prioritized
minimize
destructive
earthquakes.
Forests
and
other
intact
areas
within
the
tropics
are
nowadays
in
primary
focus
of
researchers,
while
little
or
no
attention
is
paid
to
urban
sub-Saharan
environments,
justifying
need
gather
baseline
data.
It
important
understand
bird
species
ecology
uncover
its
interactions
with
city
people.
The
speckled
mousebird
(SM,
Colius
striatus)
one
most
common
rural
man-made
environments
endemic
Africa.
We
systematically
sampled
222
random
count
points
Dschang
(West
Cameroon)
using
binoculars
buffers
a
50
m
radius
around
for
10
min,
two
times
during
period
September–November
2022.
population
density
reached
1.33
ind./ha,
distribution
largely
followed
pattern.
presence
SM
was
positively
correlated
abundance
fruiting
trees,
being
percentage
guava
(Psidium
guajava)
papaya
(Carica
papaya)
trees.
Similarly,
linked
size
human
population,
as
it
often
occurred
mosaic
agricultural
near
dwellings.
feeding
time
increased
garbage
sites
due
greater
availability
nutrients
trees
there.
further
found
positive
relationship
between
temperature,
along
an
number
vocal
sites.
Our
results
showed
that
humans
were
significant
driver
study
area.
