Spatial Analysis-Driven Facility Location Optimization for Vertiports

<p><strong>Abstract</strong><br>Innovative Air Mobility (IAM) integrates vertical take-off and landing (VTOL)-capable aircraft (VCA), specifically electric VTOLs (eVTOLs), into urban and suburban transportation systems and infrastructure. The success of this integration depends on the strategic placement of takeoff/landing sites (vertiports), representing central nodes for IAM operations. This study presents a two-step optimization approach for allocating demand from urban subareas to potential vertiport locations. In the first step, spatial analysis and Anselin Local Moran’s I clustering method are used to identify candidate vertiport points. In the second step, a linear location allocation model is developed to assign these demand points to the most suitable vertiports while considering operational constraints such as VTOL flight range. A case study in Saxony, Germany, demonstrates how demand distribution and accessibility influence vertiport selection. By integrating technological and urban planning constraints, this study provides a structured approach to optimizing IAM networks, supporting systematic and scalable IAM infrastructure planning.<br><br><strong>Note</strong><br>This manuscript has also been submitted to EasyChair Preprints (currently under processing).</p>

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-06-24
DOI
https://doi.org/10.5281/zenodo.16910156
Primary Topic
Geochemistry and Geologic Mapping
Type
article
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article

Spatial Analysis-Driven Facility Location Optimization for Vertiports

Zenodo (CERN European Organization for Nuclear Research)
Geochemistry and Geologic Mapping
article

Spatial Analysis-Driven Facility Location Optimization for Vertiports

article en

Abstract

<p><strong>Abstract</strong><br>Innovative Air Mobility (IAM) integrates vertical take-off and landing (VTOL)-capable aircraft (VCA), specifically electric VTOLs (eVTOLs), into urban and suburban transportation systems and infrastructure. The success of this integration depends on the strategic placement of takeoff/landing sites (vertiports), representing central nodes for IAM operations. This study presents a two-step optimization approach for allocating demand from urban subareas to potential vertiport locations. In the first step, spatial analysis and Anselin Local Moran’s I clustering method are used to identify candidate vertiport points. In the second step, a linear location allocation model is developed to assign these demand points to the most suitable vertiports while considering operational constraints such as VTOL flight range. A case study in Saxony, Germany, demonstrates how demand distribution and accessibility influence vertiport selection. By integrating technological and urban planning constraints, this study provides a structured approach to optimizing IAM networks, supporting systematic and scalable IAM infrastructure planning.<br><br><strong>Note</strong><br>This manuscript has also been submitted to EasyChair Preprints (currently under processing).</p>

Zenodo (CERN European Organization for Nuclear Research)
Sustainable cities and communities
Openalex Percentile: Top 67%
Geochemistry and Geologic Mapping
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