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)

Author:

Hauptvogel Dominik1ORCID,Schreckenberg Dirk2ORCID,Rothmund Tobias3ORCID,Schmitz Marie-Therese4,Bartels Susanne1

Affiliation:

1. German Aerospace Center, Institute of Aerospace Medicine, Sleep and Human Factors Research, Linder Höhe, 51147 Cologne, Germany

2. ZEUS GmbH, Zentrum für Angewandte Psychologie, Umwelt- und Sozialforschung, Sennbrink 46, 58093 Hagen, Germany

3. Institute for Communication Science, Friedrich-Schiller University Jena, Ernst-Abbe-Platz 8, 07743 Jena, Germany

4. Working Group Biostatistics, Institute of Medical Biometry, Informatics, Epidemiology (IMBIE), University of Bonn, Venusberg-Campus 1, 53127 Bonn, Germany

Abstract

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.

Funder

European Union’s Horizon 2020 research and innovative programme

Publisher

MDPI AG

Subject

Health, Toxicology and Mutagenesis,Public Health, Environmental and Occupational Health

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