Applied System Innovation,
Journal Year:
2025,
Volume and Issue:
8(2), P. 54 - 54
Published: April 17, 2025
Bike-sharing
initiatives
play
a
crucial
role
in
sustainable
urban
transportation,
addressing
vehicular
congestion,
air
quality
issues,
and
sedentary
lifestyles.
However,
the
connection
between
bike-sharing
facilities
advantages
perceived
by
users
remains
insufficiently
explored
particular
post-industrial
regions,
such
as
Silesia,
Poland.
This
study
develops
multidimensional
framework
linking
infrastructure
elements—such
station
density,
bicycle
accessibility,
maintenance
standards,
technological
integration—to
benefits.
Using
mixed-methods
approach,
survey
conducted
key
Silesian
cities
combines
quantitative
analysis
(descriptive
statistics,
factor
analysis,
regression
modelling)
with
qualitative
insights
from
user
feedback.
The
results
indicate
that
most
valuable
benefits
are
health
improvements
(e.g.,
improved
physical
fitness
mobility)
environmental
sustainability.
infrastructural
deficiencies—disjointed
bike
path
systems,
uneven
placements,
irregular
maintenance—substantially
hinder
system
efficiency
accessibility.
Inadequate
adversely
affects
efficiency,
safety,
sustainability,
highlighting
necessity
for
predictive
upkeep
optimised
services.
research
underscores
innovation
enhancing
promoting
seamless
integration
across
multiple
modes,
diversification
of
fleets
(including
e-bikes
cargo
bikes),
use
sophisticated
digital
solutions
like
real-time
tracking,
contactless
payment
IoT-based
monitoring.
Furthermore,
transformation
areas
into
cycling-supportive
environments
presents
strategic
opportunities
regional
revitalisation.
These
findings
extend
beyond
context
offering
actionable
policymakers,
mobility
planners,
Smart
City
stakeholders
worldwide,
aiming
to
foster
inclusive,
efficient,
technology-enabled
systems.
Advances in computational intelligence and robotics book series,
Journal Year:
2025,
Volume and Issue:
unknown, P. 37 - 62
Published: Feb. 28, 2025
The
demand
for
sustainable
energy
solutions
is
more
important
than
ever
as
the
globe
struggles
to
address
twin
issues
of
accelerated
climate
change
and
depleting
conventional
sources.
In
order
provide
a
stable,
future
generations,
search
greener,
efficient
systems
not
just
about
innovation
but
also
survival.
increasing
significance
data
science
artificial
intelligence
(AI)
provides
path
toward
ray
hope
in
this
dire
situation.
“Leveraging
AI
Promote
Sustainable
Energy
Distribution,”
chapter's
title,
delves
into
revolutionary
potential
transform
global
distribution
management
landscape.
This
chapter
seeks
shed
light
on
various
ways
that
might
support
creation
infrastructures
by
thorough
examination
AI-driven
techniques,
ranging
from
peer-to-peer
trading
predictive
maintenance
grid
optimization.
IGI Global eBooks,
Journal Year:
2025,
Volume and Issue:
unknown, P. 427 - 452
Published: April 11, 2025
ML
and
AI
can
transform
energy
optimisation
in
numerous
industries.
This
chapter
discusses
how
have
revolutionized
price,
efficiency,
environmental
sustainability.
AI-powered
systems
optimise
the
grid's
renewable
integration,
manage
resources
real
time,
forecast
consumption
trends
using
optimization,
predictive
analytics.
Smart
grids,
forecasting,
industrial
management,
smart
buildings,
EV
charging
infrastructure
are
major
applications.
also
these
fields
methodologies.
Supervised
learning
estimates
consumption,
RL
regulates
adaptively,
deep
analyzes
complicated
data.
presents
effective
AI-driven
solution
case
studies.
Edge
AI,
decentralized
intelligent
storage
technologies
covered.
It
address
data
security,
ethical
concerns,
regulatory
compliance
caused
by
AI's
growing
use
to
achieve
a
sustainable
egalitarian
future.
Advances in computational intelligence and robotics book series,
Journal Year:
2025,
Volume and Issue:
unknown, P. 165 - 184
Published: Feb. 7, 2025
The
use
of
smart
forecasting
in
artificial
intelligence
(AI)
to
transform
energy
storage
and
consumption
is
examined
this
chapter.
Artificial
revolutionizing
the
systems
industry
particularly
areas
grids
management
renewable
by
analysing
large
volumes
data
finding
patterns.
In
order
predict
generation
maintain
grid
stability
maximize
chapter
explores
crucial
roles
that
AI
machine
learning
play.
Additionally,
it
emphasizes
how
big
data,
can
be
combined
increase
accuracy
which
has
important
ramifications
for
sources
like
solar
wind.
effective
commodity
market
operations
demonstrated
real-world
case
studies.
Chapter
also
addresses
ethical
social
issues
deployment
focusing
on
cooperation
with
human
expertise.
Applied System Innovation,
Journal Year:
2025,
Volume and Issue:
8(2), P. 54 - 54
Published: April 17, 2025
Bike-sharing
initiatives
play
a
crucial
role
in
sustainable
urban
transportation,
addressing
vehicular
congestion,
air
quality
issues,
and
sedentary
lifestyles.
However,
the
connection
between
bike-sharing
facilities
advantages
perceived
by
users
remains
insufficiently
explored
particular
post-industrial
regions,
such
as
Silesia,
Poland.
This
study
develops
multidimensional
framework
linking
infrastructure
elements—such
station
density,
bicycle
accessibility,
maintenance
standards,
technological
integration—to
benefits.
Using
mixed-methods
approach,
survey
conducted
key
Silesian
cities
combines
quantitative
analysis
(descriptive
statistics,
factor
analysis,
regression
modelling)
with
qualitative
insights
from
user
feedback.
The
results
indicate
that
most
valuable
benefits
are
health
improvements
(e.g.,
improved
physical
fitness
mobility)
environmental
sustainability.
infrastructural
deficiencies—disjointed
bike
path
systems,
uneven
placements,
irregular
maintenance—substantially
hinder
system
efficiency
accessibility.
Inadequate
adversely
affects
efficiency,
safety,
sustainability,
highlighting
necessity
for
predictive
upkeep
optimised
services.
research
underscores
innovation
enhancing
promoting
seamless
integration
across
multiple
modes,
diversification
of
fleets
(including
e-bikes
cargo
bikes),
use
sophisticated
digital
solutions
like
real-time
tracking,
contactless
payment
IoT-based
monitoring.
Furthermore,
transformation
areas
into
cycling-supportive
environments
presents
strategic
opportunities
regional
revitalisation.
These
findings
extend
beyond
context
offering
actionable
policymakers,
mobility
planners,
Smart
City
stakeholders
worldwide,
aiming
to
foster
inclusive,
efficient,
technology-enabled
systems.
