European Transport/Trasporti Europei,
Год журнала:
2024,
Номер
97, С. 1 - 18
Опубликована: Май 1, 2024
Electric
Micromobility
(EMM),
e.g.
e-bikes,
e-scooters,
light-weight
electric
vehicles,
has
a
key
role
in
policymakers’
strategies
for
making
cities
more
liveable.
Especially,
its
combination
with
Public
Transport
(PT)
can
be
essential
the
transportation
sector
decarbonization.
This
work
proposes
zonal
metric
to
evaluate
EMM
and
PT
integration,
named
“Level
of
Propensity”
(LoP)
multimodality.
LoP
is
defined
adopting
multi-dimensional
domain-based
classification
capturing
two
main
phases
trip:
(1)
access
phase
by
towards
stops;
(2)
accessibility
potential
destination
PT.
open
data,
road
network
configuration,
activities
Floating
Car
Data
are
adopted
elaboration.
been
validated
medium-size
city
Salerno
(Italy),
but
it
easily
transferable
other
cities.
It
support
urban
planners
PT/EMM
operators
identifying
zones
low
propensity
multimodality,
suggesting
priorities
terms
service
improvements
infrastructure
implementations.
Abstract
Micro-mobility
transport
modes
like
e-bikes
and
e-scooters
promise
higher
flexibility
when
covering
the
first/last
mile
trip
from/to
public
stop/station
to
destination
point
vice-versa.
However,
safety
concerns
about
riding
a
micro
vehicle
in
mixed
traffic
limit
of
shared
mobility
make
conventional
ones
still
more
attractive,
e.g.,
private
car
walking.
This
study
investigates
effect
perceived
mode
choice
by
conducting
an
image-based
double
stated
preference
experiment
targeted
at
potential
micro-mobility
users
developing
ordinal
logistic
regression
models.
The
Value-of-Safety
(VoS)
is
introduced.
It
refers
additional
distance
user
willing
exchange
avoid
unsafe
path.
Main
findings
show
that
space
can
be
middle-ground
solution,
as
it
reports
lower
heterogeneity
among
individuals
terms
perceptions.
intensive
use
mixed-traffic
decreases
pedestrians,
while
e-bikers
are
threatened
existence
heavy
motorized
traffic.
Low
mean
VoS
also
reported
for
e-scooters,
demonstrating
unwillingness
service
either
detour
or
this
vehicle.
e-bike
estimated
almost
equal
car.
could
be,
hence,
concluded
systematically
explain
unobserved
disutility
e-bikes.
Transport Policy,
Год журнала:
2023,
Номер
146, С. 116 - 125
Опубликована: Ноя. 22, 2023
Urban
mobility
has
undergone
a
transformation
with
the
advent
of
micromobility
vehicles,
leading
to
multitude
studies
investigating
factors
that
drive
early
adoption
and
sustainability
equity
implications.
However,
in
context
where
local
administrations
struggle
regarding
how
fit
different
systems
within
urban
ecosystem,
little
is
understood
about
political
regulations
impact
users'
modal
choices
This
study
aims
shed
light
on
differences
between
private
e-scooters
shared
bikes
Barcelona,
city
options
face
distinct
regulatory
frameworks,
also
understand
influence
an
individual's
choice
these
two
modes
micromobility.
The
employs
self-reported
intercept
survey
651
users
builds
logistic
binary
regression
model
examine
characteristics
differentiate
e-scooter
bike
adopters.
Results
indicate
notable
adopters
suggest
might
play
role
determining
mode.
Furthermore,
finds
while
both
follow
similar
mode
replacement
paths,
have
higher
potential
keep
away
from
cars.
These
findings
contribute
limited
knowledge
highlight
policy
design
diverse
population
groups.
As
more
cities
are
banning
free-floating
centres,
it
essential
selective
bans
restrictive
policies
choices.
Frontiers in Future Transportation,
Год журнала:
2024,
Номер
5
Опубликована: Апрель 26, 2024
Electric
micromobility,
both
as
a
private
option
and
shared
service,
can
represent
an
alternative
to
cars,
particularly
for
given
user
groups
(market
segments)
specific
classes
of
travel
distance.
The
paper
explores
the
potential
shifting
from
cars
electric
micromobility
(specifically,
e-bikes
e-scooters)
commuting
trips,
investigated
through
floating
car
data
(FCD).
methodology
combines
calibration
random
utility
models
(RUMs)
subsequent
simulation
adoption
FCD
spanning
entire
city
Rome
(Italy).
used
RUM
have
been
sourced
online
revealed
preferences
stated
survey
carried
out
between
November
2020
January
2021.
Socioeconomic
factors,
along
with
transport
features
(travel
time,
access
monetary
costs,
perceived
safety
levels),
enter
into
definition
mode
choice
probability.
first
results
showed
that
in
Rome,
demand
could
range
14%
sample
best
case
(low
cost,
high
accessibility,
road
infrastructures
level
safety)
about
2%
worst
(high
low
safety).
Smart Cities,
Год журнала:
2024,
Номер
7(4), С. 1992 - 2014
Опубликована: Июль 26, 2024
The
safety
of
cyclists
on
city
streets
is
a
significant
concern,
particularly
with
the
rising
number
accidents
in
densely
populated
areas.
Urban
environments
present
numerous
challenges,
such
as
complex
road
networks
and
heavy
traffic,
which
increase
risk
cycling-related
incidents.
Such
concern
has
been
recurrent,
even
within
smart
scenarios
that
have
focused
only
expanding
cycling
infrastructure.
This
article
introduces
an
innovative
low-cost
embedded
system
designed
to
improve
urban
areas,
taking
geospatial
data
input.
By
assessing
proximity
emergency
services
utilizing
GPS
coordinates,
can
determine
indirect
current
level
for
cyclists,
providing
real-time
alerts
when
crossing
high-risk
zones.
Built
Raspberry
Pi
Zero
board,
this
solution
both
cost-effective
efficient,
making
it
easily
reproducible
various
settings.
Preliminary
results
Porto,
Portugal,
showcase
system’s
practical
application
effectiveness
enhancing
supporting
sustainable
mobility.
Health Promotion Journal of Australia,
Год журнала:
2024,
Номер
35(4), С. 1128 - 1135
Опубликована: Фев. 2, 2024
Abstract
Issue
Addressed
E‐scooters
are
sought
after
for
their
cost‐effectiveness,
sustainability,
and
efficiency
in
urban
transportation.
However,
this
popularity
has
been
accompanied
by
a
surge
injuries,
prompting
deeper
investigation
into
the
factors
influencing
risk
perceptions
among
e‐scooter
users.
Methods
Using
qualitative
approach,
we
conducted
19
interviews
with
those
who
attended
an
emergency
department
as
result
of
injury.
We
aimed
to
understand
psychosocial
effects
these
incidents
employed
thematic
analysis
discern
recurrent
patterns
participants'
experiences,
focusing
on
alterations
daily
life,
community
response,
perception
shifts,
avenues
enhance
safety
awareness.
Results
The
findings
underscored
significant
disruptions
life
due
demonstrating
enduring
impacts
lifestyle
wellbeing.
Participants
exhibited
perceptual
shift,
transitioning
from
perceiving
e‐scooters
enjoyable
viewing
them
dangerous.
Recommendations
enhancing
awareness
included
accessible
clear
education,
pre‐ride
briefings,
real‐time
guidance,
temporal
rental
restrictions,
mandatory
breathalysers
before
use.
Conclusions
study
underscores
importance
considering
not
only
individual
experiences
injuries
but
also
broader
social
context,
including
night‐time
economy.
Leveraging
peer
narratives
engagement
is
vital
reshape
promote
harm
reduction
messages.
So
What?
A
comprehensive
approach
through
proactive
interventions
robust
educational
strategies
essential
foster
responsible
usage
prioritise
public
safety.
