Urban Science,
Год журнала:
2024,
Номер
8(4), С. 259 - 259
Опубликована: Дек. 18, 2024
The
15-minute
city
concept,
designed
to
ensure
that
all
essential
services
and
amenities
are
accessible
within
a
15
min
walk
or
bike
ride
from
home,
presents
transformative
vision
for
urban
living.
This
paper
explores
the
concept
of
its
implications,
along
with
main
features
pillars.
Furthermore,
it
elaborates
on
how
integration
artificial
intelligence
(AI)
computational
tools
can
be
utilized
in
optimizing
model.
We
reveal
AI-driven
algorithms,
machine
learning
techniques,
advanced
data
analytics
enhance
planning,
improve
accessibility,
foster
social
integration.
Our
focuses
practical
applications
these
technologies
creating
pedestrian-friendly
neighborhoods,
public
transport
coordination,
enhancing
quality
life
residents.
By
executing
some
models,
we
demonstrate
potential
AI
realize
city,
making
spaces
more
inclusive,
resilient,
adaptive
evolving
needs
their
inhabitants.
Land,
Год журнала:
2025,
Номер
14(2), С. 382 - 382
Опубликована: Фев. 12, 2025
Cities,
particularly
megacities,
face
significant
challenges
in
transitioning
toward
sustainability.
Many
countries
have
developed
dual
or
multiple
capitals
for
diverse
purposes
(e.g.,
political,
administrative,
economic,
touristic,
and
cultural).
Limited
research
exists
on
the
‘15-minute
city’
(15-MC)
concept,
regions
like
Middle
East
North
Africa
(MENA
region).
This
study
evaluates
application
of
‘15-MC’
concept
globally
regionally
to
derive
Urban
Planning
Principles
(UPPs)
indicators
livability
accessibility.
Using
a
theoretical
framework
supported
by
site
visits
quantitative
assessments,
examines
two
districts
NAC
as
case
studies.
Key
UPPs
proximity
services,
mixed-use
development,
public
transport,
green
spaces,
community
engagement,
local
economy,
sustainability)
were
evaluated
along
with
walkability
scores,
bike
infrastructure,
environmental
impact
indicators.
The
results
reveal
that
most
services
are
accessible
within
15-minute
walk
ride.
However,
essential
facilities
universities
hospitals)
exceed
this
threshold
(20–30
min).
area
per
inhabitant
(17
m2/capita)
meets
WHO
European
recommendations.
has
clean,
transportation
94.26
km
cycling
lanes.
For
sustainability
indicator,
air
pollutants
(PM10
NO2)
slightly
guidelines,
but
SO2
Ozone
levels
below
limits.
estimated
waste
capita
(274
kg)
is
lower
than
Cario
other
counties.
findings
suggest
potential
fulfill
15-MC
through
developments,
accessibility,
sustainable
planning.
serves
future
modeling
when
it
fully
occupied.
One
of
the
most
significant
contributors
to
world
emissions
is
transportation
sector,
which
presents
a
considerable
obstacle
decarbonization.
The
presented
literature
review
considers
local
factors
and
emphasizes
important
part
municipalities
play
in
developing
sustainable
transport
policies
applying
Avoid-Shift-Improve
(ASI)
framework.
Municipalities,
however,
can
encounter
barriers
including
limited
data,
financial
resources,
competency
despite
advantages
scenario-based
planning;
hence,
simpler,
insight-driven
methods
for
efficient
decision-making
are
necessary.
This
research
paper
develops
analyses
modelling
scenarios
guide
authorities
achieving
climate
neutrality
sector.
A
case
study
Riga
shows
that
while
"avoid"
yield
moderate
results,
"shift"
achieve
greater
reductions
with
earlier
implementation,
"improve"
deliver
long-term
effects.
Combining
these
strategies
leads
notable
emission
but
remains
insufficient
by
2050,
highlighting
need
integrated
solutions
such
as
intelligent
urban
planning
20-minute
city
concept.
E3S Web of Conferences,
Год журнала:
2025,
Номер
608, С. 05008 - 05008
Опубликована: Янв. 1, 2025
The
“15-minute
city”
concept
is
an
urban
planning
model
that
aims
to
ensure
all
essential
services
are
accessible
within
a
15-minute
walk
or
bike
ride
in
order
reduce
the
reliance
on
cars
and
offer
sustainable
approach
living,
contributing
achievement
of
green
inclusive
smart
cities.
AI
(Artificial
Intelligence)
tools
can
provide
means
obtain
quick
efficient
response
analysing
geospatial
data
make
analysis
process
available
even
for
non-specialist
users.
Integrating
AI-driven
GIS
significantly
enhance
implementation
this
concept,
by
providing
precise,
real-time
predictive
insights.
aim
article
analyse
possibilities
management
using
tools,
context
city”,
contribute
obtaining
ISPRS International Journal of Geo-Information,
Год журнала:
2025,
Номер
14(2), С. 78 - 78
Опубликована: Фев. 11, 2025
The
15-min
city
(FMC)
is
a
people-oriented
urban
development
strategy
that
aims
to
provide
higher
quality
of
life
by
manifesting
the
people’s
right
city.
This
study
proposes
an
FMC
index
measures
how
close
specific
area
achieving
accessibility
six
social
functions
(living,
working,
supplying,
caring,
learning,
and
enjoying).
In
case
Pasig
City,
function
service
areas
were
generated
in
terms
walkability
walking
speeds
per
age
group.
Grid-based
population-based
FMCI
calculated
based
on
established
weights
points
interest
functions,
as
well
barangay
population
distribution
results
show
90%
barangays
achieved
0.5
or
higher.
presents
in-depth
yet
replicable
approach
using
open-source
data,
considering
facilities
each
necessity
group,
utilizing
pedestrian
impedance.
Further,
high
cluster
southern-central
part
developed
offers
compelling
rationale
for
other
HUCs
assess
planning
strategies,
such
zoning
strategies
context
weighted
importance
amenities,
walkability,
distribution.
Urban Science,
Год журнала:
2025,
Номер
9(4), С. 122 - 122
Опубликована: Апрель 14, 2025
Recent
European
policies
fostering
sustainable
mobility
target
urban
proximity
as
a
core
strategy
for
modal
shift
towards
low-carbon
modes.
Urban
proximity,
characteristic
of
the
built
environment,
can
be
studied
sub-thread
broad
and
complex
body
literature
which
associates
factors
such
density
or
land
use
mix
with
observed
travel
behavior,
so
to
address
their
relative
influence
on
latter.
Building
this
previous
knowledge,
present
work
addresses
importance
diverse
set
local
choice
between
walking
other
modes,
according
2018
Household
Mobility
Survey
Metropolitan
Region
Madrid,
large
variety
demographic
environment
characteristics.
The
proposes
through
workflow
Machine
Learning
models,
filtering
different
distance
thresholds
purposes
trips,
going
strict
feature
selection
process,
executing
under
schema
definitions.
resulting
models
are
inspected
accuracy,
importance,
composition.
Results
suggest
that
even
small
changes
in
exert
great
impact
all
models;
sociodemographic
variables
slightly
more
important
most
yet
building
age,
along
street
layout
factors,
pervasively
obtain
fairly
accurate
predictions
too.
