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pRAGMATIC SUSTAINABILITY ASSESSMENT OF 30-KM/H POLICY MEASURES: THE BRUSSELS’ PENTAGON CASE

Author

Listed:
  • Levi VERMOTE

    (Vrije Universiteit Brussel, MOBI, Mobility, Logistics and Automotive Technology Research Centre, Pleinlaan 2, 1050 Brussels, Belgium)

  • Cathy MACHARIS

    (Vrije Universiteit Brussel, MOBI, Mobility, Logistics and Automotive Technology Research Centre, Pleinlaan 2, 1050 Brussels, Belgium)

  • Koen PUTMAN

    (Vrije Universiteit Brussel, I-CHER, Laarbeeklaan 103, 1090 Brussels, Belgium)

Abstract

Increasing social, economic and ecological impactof motorised mobilityrequiresanidentification of sustainable mobility policies, as well as a clear evaluation of the impact of such measures. Still, there is a lack ofpractical orienteddecision-supporting instruments to assist decision-makersin the sustainability assessment of mobility policies. The present paper proposes a pragmaticassessment framework, includingproceduralSustainability Assessment (SA) and Analytic Hierarchy Process (AHP) constituents,to determine the sustainabilityof traffic safety policies.Thecompositeframework formatprovides decision-makersnotonly technical details ontheassets and the limitations of the alternative policies, but offers procedures to reach and implementassessment decisions as well. The paper applies the pragmatic framework for the specific case of the present 30-km/h scenario in the Brussels’ pentagon, of which the sustainability performance is compared to four general 30-km/h policy alternatives, i.e. 30-km/h speed regimes, speed reducing devices, (re-)constructing roads and junctions and (re-)constructing active mode infrastructure. Results show that the sustainability performance of the Brussels’ pentagon scenario can be enhanced by complementary active mode infrastructure and speed reducing devices, which benefit traffic safety, incite emission-free mobility and provide access to a larger quantity of travellers. The proposed framework bridges the gap between policy impact assessment framework design and use, while specifying the assessment attributes according the basic dimensions of sustainable development. Both are beneficiary fordecision-processes towards sustainability.

Suggested Citation

  • Levi VERMOTE & Cathy MACHARIS & Koen PUTMAN, 2014. "pRAGMATIC SUSTAINABILITY ASSESSMENT OF 30-KM/H POLICY MEASURES: THE BRUSSELS’ PENTAGON CASE," Theoretical and Empirical Researches in Urban Management, Research Centre in Public Administration and Public Services, Bucharest, Romania, vol. 9(3), pages 18-54, August.
  • Handle: RePEc:rom:terumm:v:9:y:2014:i:3:p:18-54
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    References listed on IDEAS

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    1. Sébastien Damart & Bernard Roy, 2009. "The uses of cost-benefit analysis in public transportation decision-making in France," Post-Print hal-00414462, HAL.
    2. Chatzimouratidis, Athanasios I. & Pilavachi, Petros A., 2009. "Sensitivity analysis of technological, economic and sustainability evaluation of power plants using the analytic hierarchy process," Energy Policy, Elsevier, vol. 37(3), pages 788-798, March.
    3. JosÉ Figueira & Salvatore Greco & Matthias Ehrogott, 2005. "Multiple Criteria Decision Analysis: State of the Art Surveys," International Series in Operations Research and Management Science, Springer, number 978-0-387-23081-8, September.
    4. Doukas, Haris Ch. & Andreas, Botsikas M. & Psarras, John E., 2007. "Multi-criteria decision aid for the formulation of sustainable technological energy priorities using linguistic variables," European Journal of Operational Research, Elsevier, vol. 182(2), pages 844-855, October.
    5. Brans, Jean-Pierre, 1996. "The space of freedom of the decision maker modelling the human brain," European Journal of Operational Research, Elsevier, vol. 92(3), pages 593-602, August.
    6. Bell, Michelle L. & Hobbs, Benjamin F. & Ellis, Hugh, 2003. "The use of multi-criteria decision-making methods in the integrated assessment of climate change: implications for IA practitioners," Socio-Economic Planning Sciences, Elsevier, vol. 37(4), pages 289-316, December.
    7. Durbach, Ian N. & Stewart, Theodor J., 2012. "Modeling uncertainty in multi-criteria decision analysis," European Journal of Operational Research, Elsevier, vol. 223(1), pages 1-14.
    8. Cole, Rachel & Burke, Matthew & Leslie, Eva & Donald, Maria & Owen, Neville, 2010. "Perceptions of representatives of public, private, and community sector institutions of the barriers and enablers for physically active transport," Transport Policy, Elsevier, vol. 17(6), pages 496-504, November.
    9. Damart, Sébastien & Roy, Bernard, 2009. "The uses of cost-benefit analysis in public transportation decision-making in France," Transport Policy, Elsevier, vol. 16(4), pages 200-212, August.
    10. Brouwer, Roy & van Ek, Remco, 2004. "Integrated ecological, economic and social impact assessment of alternative flood control policies in the Netherlands," Ecological Economics, Elsevier, vol. 50(1-2), pages 1-21, September.
    11. Chatzimouratidis, Athanasios I. & Pilavachi, Petros A., 2009. "Technological, economic and sustainability evaluation of power plants using the Analytic Hierarchy Process," Energy Policy, Elsevier, vol. 37(3), pages 778-787, March.
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