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.

Methodology for the identification of economic, environmental and health criteria for road noise mitigation / D'Alessandro, F.; Di Mascio, P.; Lombardi, L.; Ridolfi, B.. - In: NOISE MAPPING. - ISSN 2084-879X. - 9:1(2022), pp. 10-22. [10.1515/noise-2022-0002]

Methodology for the identification of economic, environmental and health criteria for road noise mitigation

Di Mascio P.
Secondo
Conceptualization
;
2022

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.
2022
health effects; multi-decision criteria analysis; noise mitigation; sustainability; transportation noise
01 Pubblicazione su rivista::01a Articolo in rivista
Methodology for the identification of economic, environmental and health criteria for road noise mitigation / D'Alessandro, F.; Di Mascio, P.; Lombardi, L.; Ridolfi, B.. - In: NOISE MAPPING. - ISSN 2084-879X. - 9:1(2022), pp. 10-22. [10.1515/noise-2022-0002]
File allegati a questo prodotto
File Dimensione Formato  
DAlessandro_Methodology-identification-economic_2022.pdf

accesso aperto

Note: https://www.degruyter.com/document/doi/10.1515/noise-2022-0002/html
Tipologia: Versione editoriale (versione pubblicata con il layout dell'editore)
Licenza: Tutti i diritti riservati (All rights reserved)
Dimensione 3.22 MB
Formato Adobe PDF
3.22 MB Adobe PDF

I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.

Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11573/1602804
Citazioni
  • ???jsp.display-item.citation.pmc??? ND
  • Scopus 5
  • ???jsp.display-item.citation.isi??? 4
social impact