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Being a Fair Neighbor—Towards a Psychometric Inventory to Assess Fairness-Related Perceptions of Airports by Residents—Development and Validation of the Aircraft Noise-Related Fairness Inventory (fAIR-In)

Hauptvogel, D. und Schreckenberg, D. und Rothmund, T. und Schmitz, M.-T. und Bartels, S. (2023) Being a Fair Neighbor—Towards a Psychometric Inventory to Assess Fairness-Related Perceptions of Airports by Residents—Development and Validation of the Aircraft Noise-Related Fairness Inventory (fAIR-In). International Journal of Environmental Research and Public Health, 20 (12), Seite 6113. Multidisciplinary Digital Publishing Institute (MDPI). doi: 10.3390/ijerph20126113. ISSN 1661-7827.

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Offizielle URL: https://doi.org/10.3390/ijerph20126113

Kurzfassung

Aircraft noise causes a variety of negative health consequences, and annoyance is a central factor mediating stress-related health risks. Non-acoustic factors play an important role in the experience of annoyance where the aspect of fairness is assumed to be a vital component. This paper describes the development of the Aircraft Noise-related Fairness Inventory (fAIR-In) and examines its factorial validity, construct validity and predictive validity. The development of the questionnaire included expert consultations, statements from airport residents and a large-scale online survey around three German airports (N = 1367). Its items cover distributive, procedural, informational and interpersonal fairness. Via mailshot, almost 100,000 flyers were sent out in more (>55 dB(A) Lden)- and less (≤55 dB(A) Lden)-aircraft-noise-exposed areas around Cologne-Bonn, Dusseldorf and Dortmund Airport. Thirty-two items were carefully selected considering reliability, theoretical importance and factor loading calculated via exploratory factor analysis (EFA), with all facets achieving high internal consistency (α = 0.89 to 0.92). The factorial validity, analyzed via a confirmatory factor analysis (CFA), revealed that viewing distributive, procedural, informational and interpersonal fairness as distinct factors produced a better fit to the data than other categorizations with fewer factors. The fAIR-In shows adequate results in terms of construct validity and excellent results in terms of the predictive validity of annoyance by aircraft noise (r = −0.53 to r = −0.68), acceptance of airports and air traffic (r = 0.46 to r = 0.59) and willingness to protest (r = −0.28 to r = −0.46). The fAIR-In provides airport managers with a reliable, valid and easy-to-use tool to design, monitor and evaluate efforts to improve the neighborliness between an airport and its residents.

elib-URL des Eintrags:https://elib.dlr.de/196620/
Dokumentart:Zeitschriftenbeitrag
Titel:Being a Fair Neighbor—Towards a Psychometric Inventory to Assess Fairness-Related Perceptions of Airports by Residents—Development and Validation of the Aircraft Noise-Related Fairness Inventory (fAIR-In)
Autoren:
AutorenInstitution oder E-Mail-AdresseAutoren-ORCID-iDORCID Put Code
Hauptvogel, D.Dominik.Hauptvogel (at) dlr.deNICHT SPEZIFIZIERTNICHT SPEZIFIZIERT
Schreckenberg, D.NICHT SPEZIFIZIERTNICHT SPEZIFIZIERTNICHT SPEZIFIZIERT
Rothmund, T.NICHT SPEZIFIZIERTNICHT SPEZIFIZIERTNICHT SPEZIFIZIERT
Schmitz, M.-T.Marie-Therese.Schmitz (at) dlr.deNICHT SPEZIFIZIERTNICHT SPEZIFIZIERT
Bartels, S.Susanne.Bartels (at) dlr.deNICHT SPEZIFIZIERTNICHT SPEZIFIZIERT
Datum:13 Juni 2023
Erschienen in:International Journal of Environmental Research and Public Health
Referierte Publikation:Ja
Open Access:Ja
Gold Open Access:Ja
In SCOPUS:Ja
In ISI Web of Science:Ja
Band:20
DOI:10.3390/ijerph20126113
Seitenbereich:Seite 6113
Verlag:Multidisciplinary Digital Publishing Institute (MDPI)
ISSN:1661-7827
Status:veröffentlicht
Stichwörter:fairness; justice; procedural; distributive; interactional; informational; aircraft; noise; annoyance; scale; inventory; psychometric; validity; reliability; CFA
HGF - Forschungsbereich:Luftfahrt, Raumfahrt und Verkehr
HGF - Programm:Luftfahrt
HGF - Programmthema:Luftverkehr und Auswirkungen
DLR - Schwerpunkt:Luftfahrt
DLR - Forschungsgebiet:L AI - Luftverkehr und Auswirkungen
DLR - Teilgebiet (Projekt, Vorhaben):L - Faktor Mensch
Standort: Köln-Porz
Institute & Einrichtungen:Institut für Luft- und Raumfahrtmedizin > Schlaf und Humanfaktoren
Hinterlegt von: Sender, Alina
Hinterlegt am:30 Aug 2023 09:29
Letzte Änderung:11 Sep 2023 13:56

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