Abstract
This analysis delves into sustainability within the aviation sector using machine learning and clustering. It uncovers distinct airline clusters based on sustainability focus. The study was conducted utilizing both the Random Forest algorithm and the K-means clustering algorithm. Despite uncovering trends, the analysis concentrates on 16 out of 17 United Nations sustainability goals, overlooking one aspect. Future research could benefit from better data collection and advanced models to improve sustainability analyses in aviation and similar industries.
| Original language | English |
|---|---|
| Title of host publication | 2024 New Trends in Civil Aviation (NTCA) |
| Editors | Vladimir Socha, Lenka Hanakova |
| Publisher | IEEE |
| Pages | 179-184 |
| Number of pages | 6 |
| ISBN (Electronic) | 978-80-01-07182-3 |
| ISBN (Print) | 978-80-01-07181-6 |
| DOIs | |
| Publication status | Published - 8 May 2024 |
| Event | New Trends in Civil Aviation 2024 - Prague, Czech Republic Duration: 25 Apr 2024 → 26 Apr 2024 |
Publication series
| Name | New Trends in Civil Aviation |
|---|---|
| ISSN (Print) | 2694-7854 |
Conference
| Conference | New Trends in Civil Aviation 2024 |
|---|---|
| Country/Territory | Czech Republic |
| City | Prague |
| Period | 25/04/24 → 26/04/24 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
-
SDG 4 Quality Education -
SDG 15 Life on Land
Keywords
- 2024 OA procedure
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