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What transport policy is best for climate change impact?
Maria Berrittella and colleagues at the University of Palermo have recently used
the Analytic Hierarchy Process to capture expert opinions about the optimal
transport policies to minimise climate change impact.
The abstract from their working paper reads:
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.
Attributes

  • FUELS = adoption of fuels with reduced carbon content
  • VEHICLES = technological improvements in the ecological efficiency of vehicles
  • SHARE = increase in the public and multi-modal transport market share
  • MANAGEMENT = improvements due to better mobility management systems
Options
  • VOLUNTARY = voluntary agreements amongst industries to improve the ecological efficiency of new vehicle
  • INCENTIVES = incentives for turnover of car fleet renewal
  • TAX = tax schemes aiming at promoting environmental-friendly transport modes
  • INTEGRATION= better integration between transport planning and land uses
  • INFRASTRUCTURES = new and better transport infrastructures
  • ITS TECHNOLOGIES = development of  intelligent transport system (ITS) technologies
    • Ratings
    By nine experts on transports policies and economics responding to questionnaire. 'The surveyed experts were chosen as individuals with an in-depth understanding of the transport policies and their effects on climate change.'
    Weightings
    As for weightings
    Scores
    As implied by Ratings and Weightings. The authors report that extensive sensitivity analysis leads to little change in the conclusion regarding the experts opinions.
    Source
    M. Berrittella, A. Certa, M. Enea and P. Zito "An Analytic Hierarchy Process for the evaluation of transport policies to reduce climate change impacts" January 2007. This working paper can be downloaded without charge at from The Fondazione Eni Enrico Mattei at http://www.feem.it/Feem/Pub/Publications/WPapers/default.htm or from Social Science Research Network Electronic Paper Collection: http://ssrn.com/abstract=962379


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