An Analytic Hierarchy Process for the Evaluation of Transport Policies to Reduce Climate Change Impacts

25 Pages Posted: 20 Feb 2007

See all articles by Maria Berrittella

Maria Berrittella

University of Palermo - CIRPIET

Antonella Certa

University of Palermo

Mario Enea

University of Palermo

Pietro Zito

University of Palermo

Date Written: January 2007

Abstract

Transport is the sector with the fastest growth of greenhouse gases emissions, both in developed and in developing countries, leading to adverse climate change impacts. As the experts disagree on the occurrence of these impacts, by applying the analytic hierarchy process (AHP), we have faced the question on how to form transport policies when the experts have different opinions and beliefs. The opinions of experts have been investigated by a means of a survey questionnaire. The results show that tax schemes aiming at promoting environmental-friendly transport mode are the best policy. This incentives public and environmental-friendly transport modes, such as car sharing and car pooling.

Keywords: Analytic Hierarchy Process, Transport Policies, Climate Change

JEL Classification: C90, Q54, R48

Suggested Citation

Berrittella, Maria and Certa, Antonella and Enea, Mario and Zito, Pietro, An Analytic Hierarchy Process for the Evaluation of Transport Policies to Reduce Climate Change Impacts (January 2007). FEEM Working Paper No. 12.2007, Available at SSRN: https://ssrn.com/abstract=962379 or http://dx.doi.org/10.2139/ssrn.962379

Maria Berrittella (Contact Author)

University of Palermo - CIRPIET ( email )

Viale delle Scienza
Palermo, Palermo 90128
Italy

Antonella Certa

University of Palermo ( email )

Viale delle Scienza
Palermo, Palermo 90128
Italy

Mario Enea

University of Palermo ( email )

I-98121 Palermo, Palermo
Italy

Pietro Zito

University of Palermo ( email )

Viale delle Scienza
Palermo, Palermo 90128
Italy

Do you have a job opening that you would like to promote on SSRN?

Paper statistics

Downloads
1,196
Abstract Views
5,702
Rank
38,829
PlumX Metrics