The Problems of Scooter-Sharing in Smart Cities Based on the Example of the Silesian Region in Poland
Smart Cities,
Journal Year:
2025,
Volume and Issue:
8(1), P. 16 - 16
Published: Jan. 21, 2025
The
rapid
urbanization
and
pursuit
of
sustainability
have
elevated
shared
mobility
as
a
cornerstone
smart
cities.
Among
its
modalities,
scooter-sharing
has
gained
popularity
for
convenience
eco-friendliness,
yet
it
faces
significant
adoption
barriers.
This
study
investigates
the
challenges
to
systems
within
cities,
focusing
on
Silesian
region
Poland
case
study.
It
aims
identify
region-specific
barriers
opportunities
in
Central
Eastern
Europe
provide
insights
into
long-term
development
trends
potential
challenges.
Using
comprehensive
statistical
methods,
including
factor
analysis
regression
models,
this
identifies
key
such
insufficient
bike
paths,
poor
path
conditions,
inadequate
signage,
fleet
maintenance
issues,
complex
rental
processes.
External
factors
like
adverse
weather
heavy
traffic,
coupled
with
health
safety
concerns,
further
hinder
adoption,
particularly
among
vulnerable
populations.
Additionally,
explores
future
scooter-sharing,
emphasizing
role
advanced
technologies,
adaptive
urban
planning,
sustainable
management
ensuring
feasibility.
Drawing
global
studies,
underscores
need
tailored
infrastructural
investments,
management,
user-centric
policies
align
city
goals
sustainability,
accessibility,
improved
mobility.
These
findings
offer
actionable
policymakers
service
providers
striving
integrate
evolving
landscape
Language: Английский
Technology Development in Online Grocery Shopping—From Shopping Services to Virtual Reality, Metaverse, and Smart Devices: A Review
Foods,
Journal Year:
2024,
Volume and Issue:
13(23), P. 3959 - 3959
Published: Dec. 8, 2024
This
paper
presents
a
review
of
the
technologies
and
services
associated
with
online
grocery
shopping.
The
progress
in
field
shopping
has
been
very
rapid
recent
years.
Hence,
there
was
need
to
systematize
knowledge
about
latest
various
solutions
used
this
topic.
authors
searched
internet,
focusing
on
websites
different
supermarkets,
shops,
other
that
offer
shopping,
as
well
reviewed
scientific
papers.
Based
collected
material,
created
four
thematic
parts,
which
include:
(1)
supermarket
services;
(2)
dedicated
delivery
farm-to-table;
(3)
Virtual
Reality
metaverse;
smart
devices
(4)
AI
food
ordering-the
last
part
includes
devices,
such
refrigerators,
ovens,
their
functionality,
connected
them.
refer
243
sources.
research
three
following
objectives:
exploring
presenting
emerging
applied
ways
technological
advances
related
digitalization
discussing
upcoming
technologies,
services,
methods
provides
wide
range
offered
by
both
supermarkets
stores
(e.g.,
applications,
VR
metaverse
shopping)
companies
deliveries,
product
tracking),
highlighting
numerous
functions
available
thanks
voice
control,
own
lists,
control
products,
quantities
expiration
dates,
management
user
preferences,
many
more).
also
discusses
social
issues
presented
solutions,
influence
consumer
behavior,
barriers
adoption,
challenges.
Language: Английский
Leveraging AI Techniques for an Efficient Approach to Smart City Planning and Maintenance
Pallavi,
No information about this author
Sandeep Joshi
No information about this author
Communications in computer and information science,
Journal Year:
2025,
Volume and Issue:
unknown, P. 134 - 145
Published: Jan. 1, 2025
Language: Английский
The Model of Relationships Between Benefits of Bike-Sharing and Infrastructure Assessment on Example of the Silesian Region in Poland
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.
Language: Английский
Approaches in Smart Urban Planning With Artificial Intelligence Through Data Science
Advances in computational intelligence and robotics book series,
Journal Year:
2025,
Volume and Issue:
unknown, P. 157 - 186
Published: May 8, 2025
Sustainability
is
a
key
aspect
of
preserving
for
future
generations
without
hindering
the
needs
current
generation.
interest
because
it
regarded
as
social
goal.
Ever
since
migration
population
into
urban
settings
has
shown
increase
sustainability
to
plan,
establish
and
run
smart
cities
implement
goals
while
planning
further
growth.
Recent
trends
in
artificial
intelligence
have
led
proliferation
studies
that
involve
data
molding
algorithms
better
solutions.
Data
science
Artificial
can
create,
control,
predict
trends,
solutions
issues
involving
planning,
sustainability,
cities.
This
chapter
discusses
use
cases,
problems
sustainable
modes
using
infrastructure.
Language: Английский
Behavioral and Financial Barriers to the Integration of Artificial Intelligence in the Tourism and Hospitality Industry
Advances in computational intelligence and robotics book series,
Journal Year:
2025,
Volume and Issue:
unknown, P. 41 - 66
Published: March 28, 2025
As
artificial
intelligence
(AI)
transforms
tourism
and
hospitality
practices,
this
chapter
examines
the
behavioral
financial
barriers
to
its
adoption.
The
study
highlights
major
challenges
such
as
resistance
change,
high
implementation
costs
lack
of
resources.
A
systematic
analysis
key
themes
from
29
recent
articles,
carried
out
with
IRaMuTeQ,
reveals
that
these
are
holding
back
technology
results
underline
need
for
inclusive
strategies,
including
incentive
policies
training
programs,
ensure
an
equitable
sustainable
digital
transition.
Language: Английский
Approaches in Smart Urban Planning With Artificial Intelligence Through Data Science
Advances in geospatial technologies book series,
Journal Year:
2025,
Volume and Issue:
unknown, P. 93 - 122
Published: May 23, 2025
Sustainability
is
a
key
aspect
of
preserving
for
future
generations
without
hindering
the
needs
current
generation.
interest
because
it
regarded
as
social
goal.
Ever
since
migration
population
into
urban
settings
has
shown
increase
sustainability
to
plan,
establish
and
run
smart
cities
implement
goals
while
planning
further
growth.
Recent
trends
in
artificial
intelligence
have
led
proliferation
studies
that
involve
data
molding
algorithms
better
solutions.
Data
science
Artificial
can
create,
control,
predict
trends,
solutions
issues
involving
planning,
sustainability,
cities.
This
chapter
discusses
use
cases,
problems
sustainable
modes
using
infrastructure.
Language: Английский
Robotics in the Construction Industry: A Bibliometric Review of Recent Trends and Technological Evolution
Lu Xu,
No information about this author
Yulin Zhang,
No information about this author
Mengjiao Liu
No information about this author
et al.
Applied Sciences,
Journal Year:
2025,
Volume and Issue:
15(11), P. 6277 - 6277
Published: June 3, 2025
The
construction
industry
faces
persistent
challenges,
including
labor
shortages
and
safety
hazards,
while
traditional
methods
are
increasingly
strained
by
the
complexity
sustainability
demands
of
modern
projects.
integration
robotics
shows
significant
potential
for
mitigating
enhancing
on
sites.
current
adoption
technologies
is
driven
both
maturity
technology
cost
reduction
compared
with
manual
labor.
This
review
synthesizes
recent
advancements
trends
in
through
a
bibliometric
analysis
212
publications
indexed
Web
Science
from
2002
to
2024.
Key
findings
indicate
320%
increase
research
output
2015
2022,
dominant
clusters
focusing
autonomous
navigation,
human–robot
collaboration,
sustainability-driven
automation.
Geographically,
China
United
States
lead
number
publications,
67
65
articles,
respectively;
however,
cross-border
collaborations
remain
sparse,
constituting
fewer
than
5%
co-authored
papers.
Keyword
co-occurrence
reveals
evolving
priorities,
artificial
intelligence
(AI)-driven
adaptive
control,
modular
prefabrication,
ethical
implications
Despite
technological
advancements,
critical
gaps
terms
interoperability,
workforce
retraining,
regulatory
frameworks.
study
emphasizes
need
interdisciplinary
integration,
standardized
protocols,
policy
alignment
bridge
divide
between
academic
innovation
adoption,
ultimately
facilitating
global
transition
toward
Construction
4.0.
Language: Английский