Sustainability,
Год журнала:
2022,
Номер
14(24), С. 16959 - 16959
Опубликована: Дек. 17, 2022
There
have
been
numerous
studies
on
the
impact
of
COVID-19
mobility
in
most
developed
countries;
however,
few
focused
pandemic
developing
countries,
especially
Africa.
In
view
this,
our
study
examined
residents’
transportation
mode
choice
South
This
adopted
use
both
primary
and
secondary
data
obtained
from
TomTom
statistics
an
online
survey
respondents’
patterns
before
during
pandemic.
The
questionnaire
was
administered
through
emails,
respondents
were
asked
to
provide
information
about
their
socio-economic
characteristics,
travel
characteristics
(before
COVID-19),
effect
patterns.
A
multinomial
logistic
model
for
analysis,
findings
revealed
that
variations
existed
trip
frequency,
purpose,
people
It
also
discovered
shifted
public
transport
private
cars
as
a
result
implications
health.
Based
we
propose
enabling
environment
efficient
planning
technique
should
be
by
government
relevant
stakeholders
sector.
will
integrate
all
modes
reduce
over-reliance
automobiles
encourage
non-motorized
(walk/cycle)
sustainable
future.
Transportation Letters,
Год журнала:
2023,
Номер
16(1), С. 43 - 88
Опубликована: Янв. 2, 2023
In
the
wake
of
COVID-19
pandemic,
scholars
mobilized
their
efforts
to
address
its
far-reaching
societal
problems.
With
mobility
restrictions
being
front
and
center
a
new
cohort
transportation
science
was
developed
within
short
period
time.
Here,
we
examine
more
than
400
studies
related
published
across
journals
during
2020
2021.
The
aim
is
(i)
scope
this
newly
segment
research,
(ii)
outline
diversity
pandemic-related
issues
various
divisions
field
(iii)
provide
roadmap
for
future
line
research.
Common
themes
are
identified
existing
congruence
discrepancies
findings
discussed.
Results
show
that
although
conventional
methods
research
were
adopted
in
virtually
all
studies,
no
pre-pandemic
study
particularly
instrumental
development
literature.
appears
have
own
independent
knowledge
foundation,
that,
it
does
not
systemically
frequently
look
back
at
any
particular
reference.
Potential
impacts
on
metrics
quantified
Sustainability,
Год журнала:
2023,
Номер
15(3), С. 2362 - 2362
Опубликована: Янв. 28, 2023
The
COVID-19
pandemic
at
its
peak
compelled
students
to
stay
home
and
adapt
the
distance
learning
system.
world
has
gone
through
phases
of
fear
respite
in
recent
years.
There
have
been
a
number
studies
related
student
via
online
teaching
during
pandemic.
Now,
as
vaccination
coverage
picks
up
appears
achieved
plateau,
it
is
time
take
view
students’
perceptions
effectiveness
skill
development
This
study
assesses
preferences
regarding
offline
post-COVID-19
lockdown
with
resumption
classes.
A
cross-sectional
was
conducted
King
Khalid
University,
Aseer
region,
from
period
1
January
2022
30
2022.
convenience
sampling
technique
utilized
collect
data
female
students.
Data
analysis
by
using
SPSS
version
22.0.
total
480
participated
study,
their
mean
age
19.79
±
1.48.
More
than
half
(64%)
still
getting
they
continue
in-person
or
classes
despite
having
completed
doses
vaccination.
Almost
difficulty
waking
after
recommencement
majority
(77%)
felt
tired
starting
classes,
63%
unhappy
again.
believe
that,
management
concentration.
believed
are
more
comfortable
gaining
knowledge
learning,
alert,
satisfied,
gain
higher
scores
exams.
preferred
mode
about
72%
wishing
future.
research
underlines
influence
commencement
face-to-face
amongst
Students
were
inclined
because
COVID-19,
full
Saudi
Arabia.
need
for
better
understanding
motivations
coping
mechanisms
Transportation Research Interdisciplinary Perspectives,
Год журнала:
2024,
Номер
24, С. 101043 - 101043
Опубликована: Фев. 16, 2024
Prediction
of
financial
distress
is
a
crucial
concern
for
decision-makers,
especially
in
industries
prone
to
external
shocks,
such
as
the
aviation
sector.
This
study
employs
machine
learning
techniques
on
comprehensive
global
dataset
companies
develop
highly
accurate
prediction
models.
These
models
empower
stakeholders
with
informed
decision-making
capabilities
navigate
industry's
challenges,
most
notably
exemplified
by
COVID-19
pandemic.
The
industry
holds
substantial
economic
importance,
contributing
significantly
revenue,
employment,
and
activity
worldwide.
However,
its
susceptibility
factors
underscores
need
robust
predictive
tools.
Leveraging
advances
learning,
this
pioneers
application
data-driven,
non-parametric
solutions
sector,
both
before
after
Importantly,
addresses
gap
field
conducting
comparative
evaluations
models,
which
have
been
lacking
previous
research
efforts,
often
leading
inconclusive
outcomes.
Key
findings
highlight
Random
Forest
Stochastic
Gradient
Boosting
forecasting
within
industry.
Notably,
identifies
debt-to-equity,
return
invested
capital,
debt
ratio
important
predictors
context.
