Latest revision as of 10:19, 16 February 2021

Abstract

Regional airports are often located very close to the urban area they serve and the increasing traffic rate that many of them have experienced in the last years has produced several impacts on the communities living close to the airport area, mainly aviation noise. If not properly managed, noise impacts produced by airport operations can cut down significantly the development of airport air traffic with direct effects on the economic and territorial systems. Aeronautical noise has greatly reduced in the last decade, due to aircraft design technological improvements and more severe regulations. However, the noise reduction during a single event does not make the issue of the airport location – and then the whole noise impact – less significant. This paper proposes an assessment process to evaluate the effects of actions adopted to reduce airport noise impacts on populated areas. Both airport-related factors – such as number of take-off; day-evening-night distributions of movements; aircraft type; flying paths – and land-use characteristics have been considered and combined in a density index that synthesizes the impacts of airport noise on the territory. The assessment process has been tested on a real case, the airport of Bologna in Northern Italy. The predicted results, compared with available real data for the test case, are significant and encourage the use of the proposed assessment process as decision support system for the airport management.

Original document

The different versions of the original document can be found in:

• http://hdl.handle.net/11585/527948

• https://api.elsevier.com/content/article/PII:S0969699715001209?httpAccept=text/xml,

https://api.elsevier.com/content/article/PII:S0969699715001209?httpAccept=text/plain,

http://dx.doi.org/10.1016/j.jairtraman.2015.10.004 under the license https://www.elsevier.com/tdm/userlicense/1.0/

• https://www.sciencedirect.com/science/article/pii/S0969699715001209,

https://ideas.repec.org/a/eee/jaitra/v50y2016icp71-82.html,

https://econpapers.repec.org/RePEc:eee:jaitra:v:50:y:2016:i:c:p:71-82,

https://trid.trb.org/view/1375433,

https://academic.microsoft.com/#/detail/2198255094