Cognitive-Motivational Determinants of Residents’ Civic Engagement and Health (Inequities) in the Context of Noise Action Planning: A Conceptual Model

Natalie Riedel, Irene Van Kamp, Heike Köckler, Joachim Scheiner, Adrian Loerbroks, Thomas Claßen and Gabriele Bolte
Additional contact information
Natalie Riedel: University of Bremen, Institute of Public Health and Nursing Research, Department of Social Epidemiology, Grazer Straße 4, 28359 Bremen, Germany
Irene Van Kamp: Centre for Sustainability, Environment and Health, National Institute for Public Health and the Environment RIVM, Antonie van Leeuwenhoeklaan 9, 3721 MA Bilthoven, The Netherlands
Heike Köckler: Hochschule für Gesundheit (University of Applied Science), Department of Community Health, Gesundheitscampus 6-8, 44801 Bochum, Germany
Joachim Scheiner: TU Dortmund University, Faculty of Spatial Planning, Department of Transport Planning, August-Schmidt-Str. 10, 44221 Dortmund, Germany
Adrian Loerbroks: University of Düsseldorf, Faculty of Medicine, Centre for Health and Society, Institute for Occupational, Social, and Environmental Medicine, Universitätsstraße 1, 40225 Düsseldorf, Germany
Thomas Claßen: Centre for Health NRW (North Rhine Westphalia), Section “Health Assessments and Forecasting”, Westerfeldstr. 35/37, 33611 Bielefeld, Germany
Gabriele Bolte: University of Bremen, Institute of Public Health and Nursing Research, Department of Social Epidemiology, Grazer Straße 4, 28359 Bremen, Germany

IJERPH, 2017, vol. 14, issue 6, 1-25

Abstract: The Environmental Noise Directive expects residents to be actively involved in localising and selecting noise abatement interventions during the noise action planning process. Its intervention impact is meant to be homogeneous across population groups. Against the background of social heterogeneity and environmental disparities, however, the impact of noise action planning on exposure to traffic-related noise and its health effects is unlikely to follow homogenous distributions. Until now, there has been no study evaluating the impact of noise action measures on the social distribution of traffic-related noise exposure and health outcomes. We develop a conceptual (logic) model on cognitive-motivational determinants of residents’ civic engagement and health (inequities) by integrating arguments from the Model on household’s Vulnerability to the local Environment, the learned helplessness model in environmental psychology, the Cognitive Activation Theory of Stress, and the reserve capacity model. Specifically, we derive four hypothetical patterns of cognitive-motivational determinants yielding different levels of sustained physiological activation and expectancies of civic engagement. These patterns may help us understand why health inequities arise in the context of noise action planning and learn how to transform noise action planning into an instrument conducive to health equity. While building on existing frameworks, our conceptual model will be tested empirically in the next stage of our research process.

Keywords: residential traffic noise exposure; noise annoyance; behavioural outcome expectancy; perceived behavioural control; coping; civic engagement; health inequities; environmental justice; logic model (search for similar items in EconPapers)
JEL-codes: I I1 I3 Q Q5 (search for similar items in EconPapers)
Date: 2017
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (3)

Downloads: (external link)
https://www.mdpi.com/1660-4601/14/6/578/pdf (application/pdf)
https://www.mdpi.com/1660-4601/14/6/578/ (text/html)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:gam:jijerp:v:14:y:2017:i:6:p:578-:d:100022

Access Statistics for this article

IJERPH is currently edited by Ms. Jenna Liu

More articles in IJERPH from MDPI
Bibliographic data for series maintained by MDPI Indexing Manager ().