Staab, Jeroen und Schady, Arthur und Wolf, Kathrin und Lakes, Tobia und Taubenböck, Hannes (2021) Predicting traffic noise – a scalable approach using land-use regression. In: 13th ICBEN Congress on Noise as a Public Health Problem. 13th ICBEN Congress on Noise as a Public Health Problem, 14.-17. Jun. 2021, Stockholm, Schweden.
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Kurzfassung
Notable noise mapping obligations exist in the European Union. However, they are limited to designated areas such as large agglomerations and main traffic infrastructures and therefore exclude certain populations from exposure assessments and consecutive noise action planning. Existing maps are not spatially congruent to epidemiological cohorts like the German National Cohort (NAKO). As noise mapping is frequently confined by the necessary resources and data, we searched for economic alternatives for area-wide noise mapping making use of spaceborne earth observations. Using remote sensing methods, we built a geostatistical model embracing the arrangement of sources of noise and the surrounding environment in which the sound propagates. In our experimental set-up, we relied on publicly available noise data, context-aware feature engineering and a machine learning model. Eventually, the scalable approach explained 78% of the variations and can be deployed for predictions at a high spatial granularity of 10x10 meters. With it, we aim to spatially close the blank spots in existing noise maps allowing to assess noise exposure beyond already mapped urban populations in suburban and rural areas as well.
elib-URL des Eintrags: | https://elib.dlr.de/142601/ | ||||||||||||||||||||||||
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Dokumentart: | Konferenzbeitrag (Vortrag) | ||||||||||||||||||||||||
Titel: | Predicting traffic noise – a scalable approach using land-use regression | ||||||||||||||||||||||||
Autoren: |
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Datum: | 15 Juni 2021 | ||||||||||||||||||||||||
Erschienen in: | 13th ICBEN Congress on Noise as a Public Health Problem | ||||||||||||||||||||||||
Referierte Publikation: | Nein | ||||||||||||||||||||||||
Open Access: | Nein | ||||||||||||||||||||||||
Gold Open Access: | Nein | ||||||||||||||||||||||||
In SCOPUS: | Nein | ||||||||||||||||||||||||
In ISI Web of Science: | Nein | ||||||||||||||||||||||||
Status: | veröffentlicht | ||||||||||||||||||||||||
Stichwörter: | Urban; Traffic Noise; Land Use Regression; Linear Model; Cross Validation; Environmental Justice | ||||||||||||||||||||||||
Veranstaltungstitel: | 13th ICBEN Congress on Noise as a Public Health Problem | ||||||||||||||||||||||||
Veranstaltungsort: | Stockholm, Schweden | ||||||||||||||||||||||||
Veranstaltungsart: | internationale Konferenz | ||||||||||||||||||||||||
Veranstaltungsdatum: | 14.-17. Jun. 2021 | ||||||||||||||||||||||||
Veranstalter : | International Commission on Biological Effects of Noise (ICBEN) | ||||||||||||||||||||||||
HGF - Forschungsbereich: | Luftfahrt, Raumfahrt und Verkehr | ||||||||||||||||||||||||
HGF - Programm: | Raumfahrt | ||||||||||||||||||||||||
HGF - Programmthema: | Erdbeobachtung | ||||||||||||||||||||||||
DLR - Schwerpunkt: | Raumfahrt | ||||||||||||||||||||||||
DLR - Forschungsgebiet: | R EO - Erdbeobachtung | ||||||||||||||||||||||||
DLR - Teilgebiet (Projekt, Vorhaben): | R - Fernerkundung u. Geoforschung, R - Geowissenschaftl. Fernerkundungs- und GIS-Verfahren | ||||||||||||||||||||||||
Standort: | Oberpfaffenhofen | ||||||||||||||||||||||||
Institute & Einrichtungen: | Deutsches Fernerkundungsdatenzentrum > Georisiken und zivile Sicherheit Institut für Physik der Atmosphäre > Verkehrsmeteorologie | ||||||||||||||||||||||||
Hinterlegt von: | Staab, Jeroen | ||||||||||||||||||||||||
Hinterlegt am: | 07 Jul 2021 15:01 | ||||||||||||||||||||||||
Letzte Änderung: | 29 Mär 2023 00:48 |
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