Exemplification case studies as a focus for the implementation of best practices related to aircraft noise management at airports

Konovalova, O, Zaporozhets, O, Ohlenforst, B, Peerlings, B, Aalmoes, R, Radulescu, D, Burtea, N, Dragasanu, L, Hooper, P, Heyes, G ORCID: https://orcid.org/0000-0002-8073-1975 and Jeram, S (2021) Exemplification case studies as a focus for the implementation of best practices related to aircraft noise management at airports. In: InterNoise21, Washington, D.C., USA.

Preview

Accepted Version Available under License In Copyright. Download (477kB) | Preview

Abstract

This study presents the analysis of six airport exemplification case studies undertaken in the European project “Aviation Noise Impact Management through Novel Approaches - ANIMA”. Best practices related to aircraft noise management at airports in individual airport contexts were implemented and evaluated. Case studies on communication and community engagement in airport noise management were investigated at Heathrow (United Kingdom), Ljubljana (Slovenia) and Rotterdam The Hague (The Netherlands) airports. For Zaporizhzhia (Ukraine) and Iasi (Romania) airports, the implementation of interventions related to land-use planning was examined. The interdependencies between noise and emissions were studied for Cluj (Romania) airport. All case studies were performed under the scope of the corresponding national legislation and guidelines. Individual characteristics of airport operations were taken into account. The case studies were aligned with expectations and priorities of all involved stakeholders, such as representatives of airport operators, local communities, civil aviation authorities and policy makers. The efficacy of the noise management case studies is assessed in terms of: the capacity to negotiate consensus outcomes, the extent to which noise impact reductions were achieved; and the participants' satisfaction with the process and outcomes. Experience gained from these studies will be used to distill best practices for future interventions.