Geospatial Technologies for the Analysis of Runway Macrotexture and its Relationship with Aeronautical Occurrences

Authors

  • Madalena Osório Leite Universidade Federal do Ceará – Departamento de Engenharia de Transportes – Programa de Pós-Graduação em Engenharia de Transportes – Fortaleza/CE – Brazil. https://orcid.org/0009-0003-6687-2813
  • Lara Sucupira Furtado Universidade Federal do Ceará – Departamento de Engenharia de Transportes – Programa de Pós-Graduação em Engenharia de Transportes – Fortaleza/CE – Brazil. https://orcid.org/0000-0002-9123-2805
  • Francisco Heber Lacerda de Oliveira Universidade Federal do Ceará – Departamento de Engenharia de Transportes – Programa de Pós-Graduação em Engenharia de Transportes – Fortaleza/CE – Brazil. https://orcid.org/0000-0002-4638-7621

Keywords:

Aerospace safety, Textures, Runway conditions, Occurrences

Abstract

This study presents georeferenced data for the characterization of runways at public aerodromes, focusing on the organization of information to support macrotexture maintenance planning. A total of 499 public aerodromes and their respective runways were mapped and categorized according to operational classes. Additionally, 1,174 operational occurrences recorded in 2024 and directly related to runway conditions were extracted. A spatial and statistical analysis was conducted using linear regression between the number of occurrences and the measurement frequency assigned to each aerodrome. The results indicated a statistically significant correlation between the number of occurrences and the suggested analysis frequency. The findings demonstrate the applicability of integrating georeferenced data with operational records in the formulation of monitoring and management strategies aimed at improving the operational safety of airport infrastructure.


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Published

2025-11-24

Issue

Vol. 17 (2025)

Section

Thematic Section| Air Transportation Systems

License

Copyright (c) 2025 Madalena Osório Leite, Lara Sucupira Furtado, Francisco Heber Lacerda de Oliveira

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This work is licensed under a Creative Commons Attribution 4.0 International License.

This work is licensed under a Creative Commons — Attribution 4.0 International — CC BY 4.0. Authors are free to Share (copy and redistribute the material in any medium or format) and Adapt (remix, transform, and build upon the material for any purpose, even commercially). JATM allow the authors to retain publishing rights without restrictions.