Spatiotemporal variations of private e-bike trips with explainable data-driven technologies
Cities,
Journal Year:
2025,
Volume and Issue:
158, P. 105712 - 105712
Published: Jan. 6, 2025
Language: Английский
Urban Traffic Dominance: A Dynamic Assessment Using Multi-Source Data in Shanghai
Yuyang Mei,
No information about this author
Shenmin Wang,
No information about this author
Mengjie Gong
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et al.
Sustainability,
Journal Year:
2024,
Volume and Issue:
16(12), P. 4956 - 4956
Published: June 10, 2024
This
study
redefines
the
evaluation
of
urban
traffic
dominance
by
integrating
complex
network
theory
with
multi-source
spatiotemporal
trajectory
data,
addressing
dynamic
nature
various
transportation
modes,
including
public
transit
and
shared
mobility.
Traditional
studies,
which
focus
predominantly
on
static
road
characteristics,
overlook
fluid
dynamics
integral
to
transport
systems.
We
introduce
Relative
Weighted
Centrality
(RWC)
as
a
novel
metric
for
quantifying
dominance,
combining
it
traditional
metrics
forge
comprehensive
system.
The
results
show
following:
(1)
Both
display
core-periphery
structures
centered
around
Huangpu
District.
(2)
Dynamically,
distinct
variations
in
RWC
emerge
across
different
times
modes;
during
early
hours
(0:00–6:00),
bicycles
unique
spatial
distributions,
subway
experiences
notable
decrease
yet
maintains
its
pattern,
taxis
exhibit
intermediate
characteristics.
Conversely,
all
modes
generally
increases
morning
(6:00–12:00)
evening
(18:00–24:00)
peaks,
pronounced
latter
period.
(3)
integration
evaluations
significantly
modifies
conventional
results,
emphasizing
impact
population
movements
dominance.
analysis
provides
crucial
insights
into
strategic
management
development
infrastructure
Shanghai.
Language: Английский
Multi-level urban street representation with street-view imagery and hybrid semantic graph
Yan Zhang,
No information about this author
Yong Li,
No information about this author
Fan Zhang
No information about this author
et al.
ISPRS Journal of Photogrammetry and Remote Sensing,
Journal Year:
2024,
Volume and Issue:
218, P. 19 - 32
Published: Oct. 18, 2024
Language: Английский
Geospatial Analytics of Urban Bus Network Evolution Based on Multi-Source Spatiotemporal Data Fusion: A Case Study of Beijing, China
ISPRS International Journal of Geo-Information,
Journal Year:
2025,
Volume and Issue:
14(3), P. 112 - 112
Published: March 4, 2025
Bus
networks
are
a
crucial
support
for
urban
commuting.
By
studying
the
evolutionary
characteristics
of
bus
networks,
we
can
uncover
their
development
patterns,
coverage
efficiency,
and
changes
in
regional
balance,
providing
scientific
basis
sustainable
optimization
transportation
resources.
This
study
systematically
analyzes
spatiotemporal
evolution
network
Beijing
from
2006
to
2024
using
specific
spatial
analysis
tools
analyze
characteristics.
analyzing
rates
transit
stations
road
administrative
division
data,
reveals
convenience
different
regions.
combining
research
methodology
Sustainable
Development
Goals
(SDGs)
report,
500-m
service
radius
stops
was
assessed.
A
complex
model
used
extract
nodes
edges
network,
betweenness
centrality
(BC)
were
analyzed.
The
findings
indicate
that
Beijing’s
has
gradually
expanded
central
areas
peripheral
regions,
with
notable
expansion
Tongzhou
Yanqing,
resulting
an
improved
balance
distribution
routes
emergence
as
new
hub.
diffusion
significantly
influenced
by
boundaries
layout
ring
roads.
highly
concentrated
within
Second
Ring
Road,
while
number
roads
increases,
various
indices
decrease.
shows
clustering
uneven
directional
development.
stop
exhibits
significant
characteristics,
high
Population
Conveniently
Served
Buses
(PCSB)
predominantly
areas,
large
gap
compared
outer
suburban
districts.
These
conclusions
expand
on
exploration
isolated
static
structure,
revealing
dynamic
mechanisms
patterns
network.
They
provide
guidance
recommendations
improving
offer
more
comprehensive
planning
resource
allocation.
Language: Английский
Understanding human mobility and trip demand through sparse trajectories of private e-bikes
Journal of Cleaner Production,
Journal Year:
2024,
Volume and Issue:
471, P. 143444 - 143444
Published: Aug. 22, 2024
Language: Английский
A gravity-inspired model integrating geospatial and socioeconomic distances for truck origin–destination flows prediction
International Journal of Applied Earth Observation and Geoinformation,
Journal Year:
2024,
Volume and Issue:
136, P. 104328 - 104328
Published: Dec. 19, 2024
Language: Английский