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A GIS-based Analysis for Selecting Ground Infrastructure Locations for Urban Air Mobility
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The burgeoning advancement of aviation and electric vertical take-off and landing (eVTOL)
vehicle lead to a novel possibility of traveling in a metropolitan area. Worsening surface-level
traffic makes the concept of urban air mobility (UAM) using eVTOL vehicle as a promising
alternative. The problem occurs when there are no available take-off and landing places within
the boundaries of a metropolitan area. Several previous studies provide methodologies of UAM
ground infrastructure placement by means of simple geography analysis. This thesis conducts
a different approach in UAM ground infrastructure placement using a geographic infromation
system (GIS)-based analysis. A suitability analysis using the weighted linear combination (WLC)
method is implemented by this thesis to locate suitable areas for UAM ground infrastructure.
Previously, a review of relevant literature has been conducted to draw minimum requirements
and influencing factors of UAM ground infrastructure placement. Generating the weights for
the WLC analysis, this thesis conducts an analytic hierarchy process (AHP)-Delphi methods.
To enhance the result of AHP-Delphi method, two "super-experts" are interviewed to give their
personal weight on influencing factors of UAM ground infrastructure. They also give insights
about further factors that are not included in the WLC analysis. In total, there are three
different weights that create three different scenarios. Los Angeles and Munich are the two cities
are taken as a case study for applying the GIS-based UAM ground infrastructure placement.
The result of case studies in two metropolitan cities and three different scenarios show that the
city center (which has high office rent prices in Munich and Los Angeles), airports and inter city
train stations are suitable for the initial operation of UAM. Point of interests can also be an
enhancement for these areas, catching niche market of tourism trip.
Dimas Numan Fadhil - Personal Name
NONE
electronic file
English
2018
Munich
A Thesis submitted in partial fulfillment for the degree of
Master of Science in Transportation Systems Professorship for Modeling Spatial Mobility
Department of Civil, Geo, and Environmental Engineering
Technical University of Munich
Munich, May 2018
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