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Proposal of Seoul’s UAM Routes and Vertiports with Spatial Data Analysis

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Human-Computer Interaction (HCII 2023)

Abstract

Since UAM is a new mobility that does not exist before, all domains such as operating concept, demand, and safety are uncertain, and this uncertainty can reduce the acceptance of all related parties to the UAM industry. Therefore, for stable commercialization of UAM, it is necessary to consider all possible situations and remove uncertainties by analyzing them from various perspectives. Especially, it is necessary to ‘reassure’ people by presenting an objective basis for the utility and safety of the UAM industry through data-based analysis. At that point, UAM route and vertiport location are key elements to verify their utility and safety.

Thus, we presented a spatial data analysis methodology through the Grid-based analysis method for UAM route design and Vertiport location selection and proposed practical and immediate UAM route and Vertiport location using spatial data in Seoul. In this process, comprehensive and reliable research results were derived by reflecting various factors such as the aviation operation aspect of the existing air traffic system, properties of UAM, urban transport demand aspect and topographical properties from the perspective of aviation experts.

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Notes

  1. 1.

    Currently, Vertiport of the second stage of the K-UAM Grand Challenge was decided as Gimpo Airport and Jamsil Station [23] as a policy. As a result, we excluded those sites from the Vertiport candidate site of this study.

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Acknowledgment

We participated and won the “2022 Land, Infrastructure and Transport Data Utilization Contest” hosted by the Ministry of Land, Infrastructure and Transport (Government) of Korea, and participated and won the “2022 Seoul Digital Spatial Information Utilization Contest” hosted by Seoul Metropolitan Government.

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Correspondence to Jahwan Koo .

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Lee, J., Yoon, D., Lee, J., Koo, J. (2023). Proposal of Seoul’s UAM Routes and Vertiports with Spatial Data Analysis. In: Kurosu, M., Hashizume, A. (eds) Human-Computer Interaction. HCII 2023. Lecture Notes in Computer Science, vol 14014. Springer, Cham. https://doi.org/10.1007/978-3-031-35572-1_22

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  • DOI: https://doi.org/10.1007/978-3-031-35572-1_22

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-031-35571-4

  • Online ISBN: 978-3-031-35572-1

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