The valuation of carbon emissions is a relevant issue in transport planning. The Impact Assessment Models (IAMs) are adopted to obtain a fair price, but they provide a range of six orders of magnitude. We propose an integrative approach, based on the Multiple Agent Multi Criteria Decision Making (MAMCDM). The development of this methodology reveals some interesting potential: the coexistence of a technical approach (provided by IAMs) and a sociological analysis (deriving from MAMCDM) seems to grant a less conflicting and shared value of CO2 emissions, thus contributing to reduce the uncertainties and to limit the range of values.

On the Perspective of Using Multiple Agent Multi Criteria Decision Making for Determining a Fair Value of Carbon Emissions in Transport Planning / Nocera, Silvio; Maurizio, Murino; Cavallaro, Federico. - In: PROCEDIA: SOCIAL & BEHAVIORAL SCIENCES. - ISSN 1877-0428. - 160:(2014), pp. 274-283. [10.1016/j.sbspro.2014.12.139]

On the Perspective of Using Multiple Agent Multi Criteria Decision Making for Determining a Fair Value of Carbon Emissions in Transport Planning

NOCERA, SILVIO;CAVALLARO, FEDERICO
2014

Abstract

The valuation of carbon emissions is a relevant issue in transport planning. The Impact Assessment Models (IAMs) are adopted to obtain a fair price, but they provide a range of six orders of magnitude. We propose an integrative approach, based on the Multiple Agent Multi Criteria Decision Making (MAMCDM). The development of this methodology reveals some interesting potential: the coexistence of a technical approach (provided by IAMs) and a sociological analysis (deriving from MAMCDM) seems to grant a less conflicting and shared value of CO2 emissions, thus contributing to reduce the uncertainties and to limit the range of values.
File in questo prodotto:
File Dimensione Formato  
2014_CIT_Nocera_Murino_Cavallaro.pdf

accesso aperto

Tipologia: 2a Post-print versione editoriale / Version of Record
Licenza: Creative commons
Dimensione 449.31 kB
Formato Adobe PDF
449.31 kB Adobe PDF Visualizza/Apri
Pubblicazioni consigliate

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/11583/2786982