Smart Cities and U-space. Preparing for UAV operations in urban airspace

This article presents the 4D Urban Area Model for Unmanned Aerial Vehicle (UAV) Risk Assessment – a framework designed to support the safe integration of drones in low-altitude urban airspace. The model builds on interoperable 3D city models, is in line with the Specific Operations Risk Assessment (SORA) methodology and U-space regulations, and introduces a fourth dimension: time. Through a nationwide survey of Polish municipalities and consultations with Polish Air Navigation Services Agency (PANSA) experts, the author identified population density and mobility data as essential for assessing drone-related risks. As a result, a 12-interval daily temporal layer was proposed to support dynamic risk zoning – initially with historical data on traffic density and ultimately, in the future, with real-time updates of this data and other obstacles via digital twins. ...

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Publication Details

Journal
Bulletin of Geography Socio-economic series
Published
2025-11-13
DOI
https://doi.org/10.12775/bgss-2025-0037
Primary Topic
UAV Applications and Optimization
Type
article
Field-Weighted Citation Impact
0.00

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article

Smart Cities and U-space. Preparing for UAV operations in urban airspace

Beata Stelmach­‐Fita
Bulletin of Geography Socio-economic series
UAV Applications and Optimization
article

Smart Cities and U-space. Preparing for UAV operations in urban airspace

Beata Stelmach­‐Fita
article en

Abstract

This article presents the 4D Urban Area Model for Unmanned Aerial Vehicle (UAV) Risk Assessment – a framework designed to support the safe integration of drones in low-altitude urban airspace. The model builds on interoperable 3D city models, is in line with the Specific Operations Risk Assessment (SORA) methodology and U-space regulations, and introduces a fourth dimension: time. Through a nationwide survey of Polish municipalities and consultations with Polish Air Navigation Services Agency (PANSA) experts, the author identified population density and mobility data as essential for assessing drone-related risks. As a result, a 12-interval daily temporal layer was proposed to support dynamic risk zoning – initially with historical data on traffic density and ultimately, in the future, with real-time updates of this data and other obstacles via digital twins. ...

Bulletin of Geography Socio-economic series(70)
Uniwersytet Komisji Edukacji Narodowej w Krakowie (PL)
Aalto-Yliopisto, Turun Yliopisto
Openalex Percentile: Top 54%
UAV Applications and Optimization
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Smart Cities and U-space. Preparing for UAV operations in urban airspace — Beata Stelmach­‐Fita · Bulletin of Geography Socio-economic series (2025) | TGRS Research Map | TGRS