International Journal of Geographical Information Science,
Journal Year:
2023,
Volume and Issue:
37(12), P. 2514 - 2537
Published: Oct. 11, 2023
AbstractAs
an
important
task
in
spatial
data
mining,
trajectory
transportation
mode
recognition
can
reflect
various
individual
behaviors
and
traveling
patterns
urban
space.
As
is
essentially
a
sequence,
many
scholars
use
the
sequence
inference
models
to
mine
information
data.
However,
such
methods
often
ignored
correlation
between
points
implemented
evaluation
based
only
on
representative
feature
statistics
selected
preprocessing
stage,
thus
have
difficulties
acquiring
high-order
pattern
features.
In
this
study,
we
propose
novel
ensemble
method
for
representing
with
graph
structure
dependency
relations.
This
integrates
of
characteristic
travel
path
into
fused
convolutional
network
obtain
semantic
at
multiple
levels.
We
validate
our
proposed
experiments
benchmark
dataset
from
Microsoft
GeoLife
project.
The
results
demonstrated
that
outperforms
other
baseline
trajectories.
help
discover
movement
residents,
further
provide
effective
assistance
management
cities.Keywords:
Trajectory
datagraph
convolution
networktransportation
recognitionfeature
extractionfeature
fusion
AcknowledgmentsThe
authors
are
grateful
associate
editor,
Urska
Demsar,
anonymous
referees
their
valuable
comments
suggestions.
project
was
supported
by
National
Natural
Science
Foundation
China
(42371446
42071442)
Fundamental
Research
Funds
Central
Universities,
University
Geosciences
(Wuhan)
(No.CUG170640).
research
also
Meituan.Author
contributionsWenhao
Yu:
Conceptualization,
methodology,
formal
analysis,
validation,
writing—original
draft
preparation,
writing—review
editing,
supervision,
administration,
funding
acquisition;
Guanwen
Wang:
Methodology,
investigation,
visualization.
All
read
agreed
published
version
manuscript.Disclosure
statementNo
potential
conflict
interest
reported
author(s).Data
codes
availability
statementThe
support
findings
study
available
DOI
(https://doi.org/10.6084/m9.figshare.21608310).Additional
informationNotes
contributorsWenhao
YuWenhao
Yu
received
B.S.
Ph.D.
degrees
Geoinformatics
Wuhan
University,
Wuhan,
China,
2010
2015,
respectively.
He
professor
Geosciences,
(CUG).
His
interests
include
map
generalization,
deep
learning.Guanwen
WangGuanwen
Wang
master
student
School
Geography
Information
Engineering,
Her
learning
mining.
Social Sciences & Humanities Open,
Journal Year:
2023,
Volume and Issue:
8(1), P. 100528 - 100528
Published: Jan. 1, 2023
This
study's
goal
is
to
investigate
the
connection
between
results
of
remote
work
(RW)
and
how
that
affects
firm
performance
(FP).
Using
an
empirical
study
128
IT
professionals
in
a
representative
sample.
Information
was
acquired
through
organized
questionnaire
interviews
with
business
management.
RW
other
workplace
flexibility
practices
were
studied
for
their
effects
on
FP
using
multiple
regression
analysis,
mean
differences
dimensions
businesses
analyzed
t-test.
The
findings
show
has
positive
relationship
indicators
such
communicate
frequently
well
(CFW),
encouraging
work-life
balance
(EWB),
maintaining
interest
productivity
(MIP),
providing
accessible
technology
(PAT).
use
flextime,
employee
participation
job
planning
design,
rigorous
results-based
management,
usage
variable
pay
workers
are
all
increasing
organizations.
Businesses
become
more
adaptable
as
result
management
stressing
value
balance,
assuring
interest,
giving
technologies
will
boost
performance.
Understanding
interactions
amongst
impact
organization
requires
understanding
linkages
various
working
indicators.
Cities,
Journal Year:
2024,
Volume and Issue:
151, P. 105078 - 105078
Published: May 10, 2024
The
restrictions
imposed
during
the
COVID-19
pandemic
have
led
to
significant
changes
in
travel
behaviour
and
public
activities,
they
might
contributed
residential
location
choices.
However,
research
examining
relationship
between
choice
is
very
limited.
To
that
end,
this
paper
focuses
on
how
pandemic-induced
work
patterns,
preferences
daily
activity
patterns
altered
potentially,
relocation
trends.
main
determinants
of
been
established
literature
over
past
30
years:
physical
attributes
dwelling;
surrounding
built
environment;
affordability;
accessibility
transportation,
workplaces,
services.
each
these
are
prioritised
differently
depending
circumstances.
Therefore,
exploring
priorities
shifted
after
can
pave
way
for
understanding
shift
as
a
consequence.
From
review,
key
findings
include
decreasing
importance
transport
workplace
pandemic.
Firstly,
teleworking
becoming
more
prevalent
within
office
jobs
than
before
pandemic,
leading
less
frequent
trips
conventional
reducing
need
live
commutable
distance
workplace.
Secondly,
other
activities
likewise
become
due
either
remote
alternatives
(e.g.,
online
shopping)
or
shifting
towards
services
closer
home,
general.
Another
consequence
people
staying
at
home
longer
before,
thus
increasing
desirable
dwelling
such
larger
house
size
wider
green
space.
Since
generally
affordable
areas
accessible
services,
may
subsequently
lead
migrations
lower
population
density,
potentially
decentralising
urban
areas.
Journal of Transport Geography,
Journal Year:
2024,
Volume and Issue:
115, P. 103792 - 103792
Published: Jan. 13, 2024
The
COVID-19
pandemic
has
impacted
the
travel
behaviour
of
urban
residents
in
an
unprecedented
manner,
especially
public
transit
(PT)
users.
PT
experienced
a
decline
ridership
around
world
early
and
been
struggling
to
rebound
again
pre-pandemic
levels,
whereas
other
modes
have
reached
their
levels.
agencies
trying
attract
users
back
through
service
improvements
policies;
nevertheless,
impacts
policies
that
were
effective
prior
are
not
guaranteed
post-pandemic
due
lasting
effects
on
behaviour.
This
study
compares
changes
accessibility,
ease
reaching
destinations,
jobs
by
commute
mode
share
pre-
(2016
2021)
with
equity
lens
three
largest
metropolitan
regions
Canada:
Toronto,
Montreal,
Vancouver.
Results
show
planning
for
accessibility
is
still
impactful
tool
increase
era,
yet
magnitude
impact
declined
almost
50%
Toronto
Montreal
30%
Vancouver
low-income
groups.
In
remains
higher
compared
other-income
groups,
which
similar
times.
Understanding
changing
major
land
use
transport
tool,
important
as
developing
strategies
restore
levels
it
reach
sustainability
goals.
Transportation,
Journal Year:
2023,
Volume and Issue:
51(5), P. 1907 - 1961
Published: April 25, 2023
The
unprecedented
COVID-19
outbreak
has
significantly
influenced
our
daily
life,
and
COVID-19's
spread
is
inevitably
associated
with
human
mobility.
Given
the
pandemic's
severity
extent
of
spread,
a
timely
comprehensive
synthesis
current
state
research
needed
to
understand
impact
on
mobility
corresponding
government
measures.
This
study
examined
relevant
literature
published
present
(March
2023),
identified
trends,
conducted
systematic
review
evidence
regarding
transport's
response
COVID-19.
We
key
agendas
synthesized
results,
examining:
(1)
changes
by
transport
modes
analyzed
regardless
policy
implementation,
using
empirical
data
survey
data;
(2)
effect
diverse
interventions
reduce
limit
controversial
issues
travel
restriction
effects;
(3)
future
issues.
findings
showed
strong
relationship
between
pandemic
mobility,
significant
impacts
decreased
overall
remarkable
drop
in
transit
ridership,
behavior,
improved
traffic
safety.
Government
implemented
various
non-pharmaceutical
countermeasures,
such
as
city
lockdowns,
restrictions,
social
distancing.
Many
studies
were
effective.
However,
some
researchers
reported
inconsistent
outcomes.
provides
urban
planners
valuable
insights
facilitate
better
preparation
for
health
emergencies
that
affect
transportation.
Transportation Research Interdisciplinary Perspectives,
Journal Year:
2024,
Volume and Issue:
24, P. 101060 - 101060
Published: March 1, 2024
Upon
its
irruption
in
early
2020,
the
COVID-19
pandemic
spurred
a
flurry
of
reflection
on
potential
long-term
effects
urban
mobility.
Despite
widespread
speculation
about
likely
permanent
impacts
mobility,
few
academic
accounts
have
re-examined
extent
to
which
these
speculations
were
warranted
once
is
over.
To
this
end,
present
article
explores
retrospective
perceptions
key
stakeholders
regarding
mobility
regime,
through
qualitative
case
study
Barcelona
Metropolitan
Region,
involving
22
semi-structured
interviews.
Approaching
lens
sociotechnical
regimes
and
multilevel
perspective
(MLP),
we
identify
perceived
changes
regime
aftermath
pandemic,
as
well
four
main
obstacles
effecting
transformative
change
towards
sustainable
during
"window
opportunity"
created
by
pandemic.
Our
findings
suggest
that
has
generally
not
led
significant
with
two
exceptions:
normalisation
teleworking,
consolidation
tactical
urbanism
approaches
street
redesign.
These
confirm
obduracy
existing
while
pointing
promising
inroads
might
result
transformation
or
destabilization
current
regime.
Journal of Transport & Health,
Journal Year:
2023,
Volume and Issue:
34, P. 101730 - 101730
Published: Dec. 16, 2023
Extensive
research
explored
the
impact
of
COVID-19
pandemic
on
our
daily
life.
Nevertheless,
few
them
examined
its
long-term
effects
which
are
more
complex
and
profound.
Within
this
context,
we
investigate
lasting
individuals'
time
allocation,
travel
behavior,
purchasing
habits
based
American
Time
Use
Survey
(ATUS)
datasets
from
2019
to
2022,
covering
both
pre-epidemic
stage
post-vaccination
era.
Specifically,
study
considers
activity
durations
frequencies,
as
well
a
fragmentation
indicator,
ratio
(TTR),
Gini
index
modes,
determine
if
altered
schedules
with
possibly
long
term
impacts
behavior.
The
results
indicate
that
Americans
were
less
active
participating
in
outdoor
activities
or
traveling
during
did
not
revert
pre-pandemic
levels
2022.
Additionally,
comparing
period
period,
participants
devoted
transportation
(such
walking
bicycling),
public
transportation.
Meanwhile,
duration
online
purchases
United
States
(US)
increased.
Unlike
previous
studies
primarily
focused
single
aspect
year,
analysis
provides
comprehensive
framework
for
better
understanding
COVID-19.
