Urban and social resilience—the role of cities and civil society organizations in the Search and Rescue system in the Mediterranean
Frontiers in Political Science,
Journal Year:
2024,
Volume and Issue:
6
Published: May 23, 2024
Search
and
Rescue
(SAR)
in
the
Central
Mediterranean
has
been
at
center
of
European
debate
on
migration
management
past
decade.
In
response
to
challenges
posed
by
maritime
rescue
operations,
governments
have
increasingly
centralized
their
efforts
through
Frontex
departing
from
previous
collaborative
framework
with
SAR
NGOs
that
was
established
aftermath
Lampedusa
shipwreck.
The
political
discourse
predominantly
focused
designation
definition
a
Port
Safety,
sidelining
imperative
need
for
an
effective
infrastructure,
leading
life-threatening
impasses
sea,
also
complete
disregard
agency
will
cities.
While
cooperation
between
governments,
cities,
civil
society
organizations
successful
decentralized
land,
contrasting
trend
centralization
diminished
emerged
sea
Mediterranean.
article
argues
Union’s
shift
SAR-oriented
border
resulted
heightened
inefficiencies
within
infrastructure.
This
inefficiency
is
attributed
collaboration
local
entities.
Utilizing
category
resilience
as
theoretical
management,
address
role
cities
creation
coordinated
system
Language: Английский
Experiment in resilient city: An evaluation of China’s demonstration city of safe development policies
Heliyon,
Journal Year:
2024,
Volume and Issue:
10(11), P. e32000 - e32000
Published: May 28, 2024
The
construction
of
resilient
city
provides
a
new
path
for
urban
under
the
background
risk
society,
and
policy
demonstration
safe
development
(DCSD)
is
indigenous
practice
China's
concept.
This
paper
used
text
mining
technology
PMC-index
model
to
establish
an
evaluation
system
DCSD
policies.
Then
eight
representative
sample
policies
were
evaluated.
results
showed
that
average
scored
5.38
reached
great
consistency
grade.
Nine
indicators
indicated
China
government
had
clear
focus
on
DCSD,
preferred
use
compulsory
type
tools,
fully
mobilized
public
participate
in
jointly.
However,
terms
voluntary
mixed
tools
relatively
weak.
established
first
time,
provided
perspective
exploration
global
cities.
extensive
applicability
needs
be
studied
depth
future.
Language: Английский
Migration and Segregated Spaces: Analysis of Qualitative Sources Such as Wikipedia Using Artificial Intelligence
Social Sciences,
Journal Year:
2024,
Volume and Issue:
13(12), P. 664 - 664
Published: Dec. 11, 2024
The
scientific
literature
on
residential
segregation
in
large
metropolitan
areas
highlights
various
explanatory
factors,
including
economic,
social,
political,
landscape,
and
cultural
elements
related
to
both
migrant
local
populations.
This
paper
contrasts
the
impact
of
these
factors
individually,
such
as
immigrant
rate
neighborhood
segregation.
To
achieve
this,
a
machine
learning
analysis
was
conducted
sample
neighborhoods
main
Spanish
(Madrid
Barcelona),
using
database
created
from
combination
official
statistical
sources
textual
sources,
Wikipedia.
These
texts
were
transformed
into
indexes
Natural
Language
Processing
(NLP)
other
artificial
intelligence
algorithms
capable
interpreting
images
converting
them
indexes.
results
indicate
that
influencing
concentration
differ
significantly,
with
crucial
roles
played
by
urban
population
size,
geographic
origin.
While
land
prices
showed
relationship
concentration,
their
effect
mediated
overcrowding,
social
support
networks,
landscape
degradation.
novel
application
AI
big
data,
particularly
through
ChatGPT
Google
Street
View,
has
enhanced
model
predictability,
contributing
segregated
spaces.
Language: Английский