Skip Navigation Links
Journal of Environmental Accounting and Management
Dmitry Kovalevsky (editor), Jiazhong Zhang(editor)
Dmitry Kovalevsky (editor)

Climate Service Center Germany (GERICS), Helmholtz-Zentrum Hereon, Fischertwiete 1, 20095 Hamburg, Germany

Fax: +49 (0) 40 226338163 Email: dmitry.v.kovalevsky@gmail.com

Jiazhong Zhang (editor)

School of Energy and Power Engineering, Xi'an Jiaotong University, Xi'an, Shaanxi Province 710049, China

Fax: +86 29 82668723 Email: jzzhang@mail.xjtu.edu.cn


Developing Methods and Tools for Local Target-oriented Action Selection Processes in the Transport System

Journal of Environmental Accounting and Management 4(2) (2016) 195--208 | DOI:10.5890/JEAM.2016.06.007

Markus Robèrt

Department of Industrial Ecology, Royal Institute of Technology, Stockholm, Sweden.

Download Full Text PDF

 

Abstract

The Swedish Transport Administration, together with public transport providers, municipalities, transport planners, and other stakeholders, has launched a new concept for transport planning called Local Action Selection Process (LASP). The aim of LASP is to create informed decisions and consensus around alternative accessibility improvements in the transport system through a process of dialogue between public authorities and other stakeholders. On the national scale, Sweden has set some of the world’s toughest climate targets, implying a transport sector independent of fossil fuels by 2030. The aim of this study was to create a structured methodology and process format for integrating the national transport targets at a local scale in LASP by constructing quantifiable and tailor-made target scenarios. The so-called CERO model (Climate and Economic Research in Organizations) for target-oriented travel planning at organization level was reformed in this work to handle scenario generation and prioritization of measures in LASP. In addition, a simulation tool was developed to support the quantitative basis for scenario generation and decision making between stakeholders in the planning process.

References

  1. [1]  Beser, M. and Algers, S. (2001), SAMPERS —The new Swedish national travel demand forecasting tool. In: Lundqvest, L and L-G.
  2. [2]  Mattsson (eds.) National TransportModels, pp. 101-118. Berlin: Springer-Verlag.
  3. [3]  Börjesson, M., Hamilton, C. J., Näsman, P. and Papaix, C. (2015), Factors driving public support for road congestion reduction policies: Congestion charging, free public transport and more roads in Stockholm, Helsinki and Lyon, Transportation Research Part A: Policy and Practice 452-462.
  4. [4]  Dreborg, K.H. (1996), Essence of backcasting, Futures 28(9), 813-828.
  5. [5]  Elmgren, M. and Henriksson, A.S. (2011), Universitetspedagogik. Norstedts förlag. ISBN 798-91-1-302297-0.
  6. [6]  Europe 2020, http://ec.europa.eu/europe2020/targets/eu-targets/index_en.htm
  7. [7]  Greene, W.H. (2003), Econometric Analysis, 5th edition. Prentice Hall, New Jersey.
  8. [8]  Hancock, L. and Nuttman, S. (2014), Engaging higher education institutions in the challenge of sustainability: sustainable transport as a catalyst for action, Journal of Cleaner Production 62, 62-71.
  9. [9]  Louviere, J.J., Hensher, D.A. and Swait, J.D. (2000), Stated choice methods, Cambridge University Press.
  10. [10]  Miliutenko, S., Kluts I., Lundberg, K., Toller, S., Brattebø, H., Birgisdóttir, H. and Potting, J. (2016), Consideration of life cycle energy use and greenhouse gas emissions in road infrastructure planning processes: examples of Sweden, Norway, Denmark and the Netherlands, Journal of Environmental Policy Assessment and Management 16(4), 1450038.
  11. [11]  Newson, C. (2000), Changing Journeys to Work: An Employers' Guide to GCPs. Transport 2000, London.
  12. [12]  Robèrt, M. (2005), Backcasting and econometrics for sustainable planning - Information technology and individual preferences of travel, Journal of Cleaner Production 13, 841-851.
  13. [13]  Robèrt, M. (2007), Mobility Management and Climate Change Policies. Doctoral thesis, The Royal Institute of Technology, Stockholm.
  14. [14]  Robèrt, M. (2009), A model for climate target-oriented planning and monitoring of organizations' travel and climate change policies, International Journal of Sustainable Transportation 3(1), 1-17.
  15. [15]  Robèrt, M. (2009), Climate and economic research in organizations and from a macro perspective, Progress in Industrial Ecology - An International Journal 6(3), 265-284.
  16. [16]  Robèrt, M. and Jonsson, Olle. (2014), Energimyndigheten Projekt nr 35918-1 Diarienr 2012-001594. Energieffektivisering av kommunala transporter - en komparativ analys av 20-CERO-kommuner
  17. [17]  Robèrt, M. (2015), Engaging private actors in transport planning to achieve future emission targets -Upscaling the CERO Process to Regional Perspectives, Journal of Cleaner Production In press.
  18. [18]  Robèrt, M., Hultén, P. and Frostell, B. (2007), Biofuels in the energy transition beyond peak oil, Energy 32(11), 2089-2098.
  19. [19]  Robinson, J. (1982), Energy backcasting: a proposed method of policy analysis, Energy Policy 10(4), 337-344.
  20. [20]  Rye, T. (1999), Employer attitudes to employer transport plans: A comparison of UK and Dutch experience, Transport Policy 6, 183- 196.
  21. [21]  Schmidt, L. (2013), Nuläge resvanor för Solna, Sundbyberg och Stockholm Västerort. Analys redovisad i ppt-format, WSP.
  22. [22]  SIKA (2005), Fyrstegsprincipen - infrastrukturens nya Potemkinkuliss, Rapport 11.
  23. [23]  Swedish Nature Protection Agency (2012)., Underlag till en färdplan för ett Sverige utan klimatutsläpp 2050, Rapport 6537.
  24. [24]  Swedish Transport Administration, Solna municipality, Sundbyberg municipality, Stockholm municipality, Regionplane- och trafikkontoret and Storstockholm public transport authority (SL) (2010), Systemstudie Nordväst.
  25. [25]  Swedish Transport Administration, Stockholm City, Stockholm County Council (2012), Action Plan for Mobility Management in Stockholm County - PIMMS CAPITAL Regional Action Plan.
  26. [26]  Swedish Transport Administration (2002), Prioritization of measures according to the four-step-principle: Åtgärdsanalys enligt fyrstegsprincipen, Publikation 72.
  27. [27]  Swedish Transport Administration (2012), Roadmap for fossil fuel independence 2050, Publication number: 2012:224. November 2012. ISBN: 978-91-7467-418-7.
  28. [28]  Swedish Transport Administration (2002), Prioritization of measures according to the four-step-principle: Åtgärdsanalys enligt fyrstegsprincipen, Publikation 72.
  29. [29]  Trafikanalys (2015), Follow-up of the Transport Policy Objectives, Rapport 7. http://trafa.se/globalassets/rapporter/rapport_2015_7_uppfoeljning_av_de_transportpolitiska_maalen.pdf.
  30. [30]  Transportstyrelsen (2014), Indikatorer på väg- och järnvägsavdelningen. Dnr TSG 2014-207.
  31. [31]  Tärnroth, A (2013), Swedish National Environment Targets: the Role of the Swedish Traffic Administration. Master thesis Environmental science. Title in Swedish De nationella miljökvalitetsmålen: Trafikverkets roll§. Trafikverket Samhälle, Miljö och Hälsa.
  32. [32]  Arts, J. and Van Lamoen, F. (2005), Before EIA: Defining the scope of infrastructure projects in the Netherlands, Journal of Environmental Policy Assessment and Management 7(1), 51-80.
  33. [33]  Xenias, D. and Whitmarsh, L. (2013), Dimensions and determinants of expert and public attitudes to sustainable transport policies and technologies, Transportation Research Part A: Policy and Practice 48, 75-85.