Methodology for the identification of economic, environmental and health criteria for road noise mitigation
Abstract: The aim of the paper is to define a method for evaluating infrastructural interventions for the mitigation of noise generated by roads based on multi-criteria analysis which considers a series of parameters (environmental, social, economic and health) that could give broader evaluations than just economic convenience. The research develops a guideline based on an already known methodology applied in other fields, which has been adapted to the above-mentioned topic: the multi-criteria analysis. The decision to use this method originates from an in-depth study of the state of the art regarding the issue of noise pollution related to transport infrastructures in Italy and at a European level. The Multi-criteria Analysis proved to be the best solution both for completeness and versatility. In particular, the developed methodology uses the Analytic Hierarchy Process as a multi-criteria analysis method. Through its hierarchical structure, this method offers a comparison not only between possible interventions, but also between the same criteria taken into consideration for the choice of the best intervention. The model was validated by analyzing a real noise mitigation project on an Italian main road. The results showed how the model could represent a valid support to decision-making processes.
- Location
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Deutsche Nationalbibliothek Frankfurt am Main
- Extent
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Online-Ressource
- Language
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Englisch
- Bibliographic citation
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Methodology for the identification of economic, environmental and health criteria for road noise mitigation ; volume:9 ; number:1 ; year:2021 ; pages:10-22 ; extent:13
Noise mapping ; 9, Heft 1 (2021), 10-22 (gesamt 13)
- Creator
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D’Alessandro, Francesco
Di Mascio, Paola
Lombardi, Lorenzo
Ridolfi, Benedetta
- DOI
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10.1515/noise-2022-0002
- URN
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urn:nbn:de:101:1-2022090315474967226829
- Rights
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Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Last update
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15.08.2025, 7:35 AM CEST
Data provider
Deutsche Nationalbibliothek. If you have any questions about the object, please contact the data provider.
Associated
- D’Alessandro, Francesco
- Di Mascio, Paola
- Lombardi, Lorenzo
- Ridolfi, Benedetta
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