Enhancing Accessibility in Rural Areas through Advanced Air Mobility

We address the contribution of a future Advanced Air Mobility (AAM) service to the accessibility of important facilities and thereby focus on rural areas. For our case study, we choose two different use case orientations: emergency services and leisure activities, represented by hospitals and cinemas, respectively. Both are defined as relevant points of interest (POIs), which are to be reached via a local vertiport on site. The challenge is to define suitably located vertiports as starting points that enable the population to reach these locations. This problem is initially treated as a location allocation analysis. The special feature of our method lies in the use of a k-means algorithm for the targeted clustering of vertiports. We can show that the door-to-door accessibility of the named locations is significantly improved by the use of AAM. Our method outperforms comparable approaches that are based purely on travel time-based algorithms.

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Publication Details

Journal
Transportation research procedia
Published
2025-01-01
DOI
https://doi.org/10.1016/j.trpro.2025.04.050
Primary Topic
Transportation and Mobility Innovations
Type
article
Field-Weighted Citation Impact
0.00

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article

Enhancing Accessibility in Rural Areas through Advanced Air Mobility

Lisa Kessler, Christoph Maget, Klaus Bogenberger, Katrin Lippoldt
Transportation research procedia
Transportation and Mobility Innovations
article

Enhancing Accessibility in Rural Areas through Advanced Air Mobility

Lisa Kessler, Christoph Maget, Klaus Bogenberger, Katrin Lippoldt
article en

Abstract

We address the contribution of a future Advanced Air Mobility (AAM) service to the accessibility of important facilities and thereby focus on rural areas. For our case study, we choose two different use case orientations: emergency services and leisure activities, represented by hospitals and cinemas, respectively. Both are defined as relevant points of interest (POIs), which are to be reached via a local vertiport on site. The challenge is to define suitably located vertiports as starting points that enable the population to reach these locations. This problem is initially treated as a location allocation analysis. The special feature of our method lies in the use of a k-means algorithm for the targeted clustering of vertiports. We can show that the door-to-door accessibility of the named locations is significantly improved by the use of AAM. Our method outperforms comparable approaches that are based purely on travel time-based algorithms.

Transportation research procediaVol. 86
Technical University of Munich (DE)
Bayerisches Staatsministerium für Wirtschaft, Infrastruktur, Verkehr und Technologie
Openalex Percentile: Top 90%
Transportation and Mobility Innovations
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