Optimal Vertiport Design for Urban Air Mobility: A Performance-Based Approach for Urban Air Mobility in the UAE.
Aref Maksoud,
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Aseel Hussien,
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Yasameen Safaa Adnan
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et al.
Results in Engineering,
Journal Year:
2025,
Volume and Issue:
unknown, P. 103968 - 103968
Published: Jan. 1, 2025
Language: Английский
Media immersion and acceptance of technologies: Exploring the influence of virtual reality, video, and photo-based presentations using the case of air taxis
Transportation Research Interdisciplinary Perspectives,
Journal Year:
2025,
Volume and Issue:
29, P. 101317 - 101317
Published: Jan. 1, 2025
Language: Английский
Experiencing urban air mobility: how passengers evaluate a simulated flight with an air taxi
Anne Papenfuß,
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Michael Stolz,
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Nele Riedesel
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et al.
CEAS Aeronautical Journal,
Journal Year:
2025,
Volume and Issue:
unknown
Published: April 1, 2025
Language: Английский
Challenges in urban air mobility implementation: A comparative analysis of barriers in Germany and the United States
Journal of Air Transport Management,
Journal Year:
2025,
Volume and Issue:
126, P. 102780 - 102780
Published: April 11, 2025
Language: Английский
Transforming Healthcare Delivery with Advanced Air Mobility: A Rural Study with GIS-Based Optimization
Raj Bridgelall,
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Denver Tolliver
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Sustainability,
Journal Year:
2024,
Volume and Issue:
16(13), P. 5709 - 5709
Published: July 4, 2024
The
efficient
and
timely
delivery
of
pharmaceuticals
is
critical,
particularly
in
regions
with
dispersed
populations
challenging
logistics.
Inclement
weather
often
disrupts
ground
transport,
complicating
the
consistent
supply
essential
medications.
Advanced
air
mobility
(AAM),
through
use
drones,
presents
a
promising
solution
to
these
logistical
challenges
by
enabling
smaller,
more
frequent
deliveries
low
density
populated
places
bypassing
traditional
transport
constraints.
This
study
evaluates
potential
benefits
AAM
for
pharmaceutical
North
Dakota
(ND).
authors
developed
comprehensive
GIS
optimization
framework
identify
optimal
locations
centers
routes
drone
truck
transport.
introduces
person-years-saved
(PYS)
metric
rank
deployments
foster
healthcare
improvements
underserved
communities.
Moreover,
found
that
trips
were
significantly
cost-effective
than
trips,
trucks
being
2.3
times
expensive
having
2.8
higher
underutilization
rate.
concludes
recommendations
regulatory
support
future
research
validate
expand
application
logistics,
contributing
improved
operational
efficiency
overlooked
rural
populations.
These
insights
provide
foundation
practical
implementation
technologies,
emphasizing
their
revolutionize
logistics
environments.
Language: Английский
Spatial Analysis of Middle-Mile Transport for Advanced Air Mobility: A Case Study of Rural North Dakota
Sustainability,
Journal Year:
2024,
Volume and Issue:
16(20), P. 8949 - 8949
Published: Oct. 16, 2024
Integrating
advanced
air
mobility
(AAM)
into
the
logistics
of
high-value
electronic
commodities
can
enhance
efficiency
and
promote
sustainability.
The
objective
this
study
is
to
optimize
network
for
electronics
by
integrating
AAM
solutions,
specifically
using
heavy-lift
cargo
drones
middle-mile
transport
mostly
rural
small
urban
U.S.
state
North
Dakota
as
a
case
study.
analysis
utilized
geographic
information
system
(GIS)
spatial
optimization
models
strategically
assign
underutilized
airports
multimodal
freight
hubs
facilitate
shift
from
long-haul
trucks
transport.
Key
findings
demonstrate
that
electronics,
because
their
high
value-to-weight
ratio,
are
ideally
suited
Comparative
shows
reduce
average
cost
per
ton
up
60%
compared
traditional
trucking.
Optimization
results
indicate
number
placed
logistical
travel
distances
more
than
13%
last-mile
deliveries.
Cost
analyses
viability
transport,
especially
on
lower-volume
routes,
highlighting
flexibility.
emphasizes
importance
utilizing
existing
infrastructure
network.
By
replacing
truck
traffic
with
drones,
mitigate
road
congestion,
emissions,
extend
lifespan.
These
insights
have
critical
implications
supply
chain
managers,
shippers,
planners,
policymakers,
providing
decision
support
roadmap
strategies.
Language: Английский