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Introducing a commute-energy performance index for Flanders

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  • Boussauw, Kobe
  • Witlox, Frank

Abstract

Based on 2001-census data for Belgium, energy consumption levels for commuting were calculated and mapped on the basis of residential locations in the administrative regions of Flanders and Brussels. Comparison with regional differentiations in commuting distances, modal shares of non-car travel modes and aspects of infrastructure and population densities clarifies some relationships between energy consumption, commuting behaviour and spatial-economic structure in the suburbanised historic-polycentric spatial structure which characterises the northern part of Belgium. It is found that mode choice appears to be of little impact for the energy performance of home-to-work travel on the scale of the Flanders region. At the other hand, proximity between home and work locations is paramount. Residential density plays a part in this, although much depends on the specific situation. This is also the case for the accessibility of the main road and rail network. In some regions these infrastructures induce long-distance commuting, whereas in the economic core areas this effect is much less pronounced. All these are factors that are very much determined by infrastructural and spatial policies of the past.

Suggested Citation

  • Boussauw, Kobe & Witlox, Frank, 2009. "Introducing a commute-energy performance index for Flanders," Transportation Research Part A: Policy and Practice, Elsevier, vol. 43(5), pages 580-591, June.
  • Handle: RePEc:eee:transa:v:43:y:2009:i:5:p:580-591
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    References listed on IDEAS

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    1. Mindali, Orit & Raveh, Adi & Salomon, Ilan, 2004. "Urban density and energy consumption: a new look at old statistics," Transportation Research Part A: Policy and Practice, Elsevier, vol. 38(2), pages 143-162, February.
    2. Saunders, Michael J. & Kuhnimhof, Tobias & Chlond, Bastian & da Silva, Antonio Nelson Rodrigues, 2008. "Incorporating transport energy into urban planning," Transportation Research Part A: Policy and Practice, Elsevier, vol. 42(6), pages 874-882, July.
    3. Nathalie Van Nuffel, 2007. "Determination of the Number of Significant Flows in Origin-Destination Specific Analysis: The Case of Commuting in Flanders," Regional Studies, Taylor & Francis Journals, vol. 41(4), pages 509-524.
    4. repec:cor:louvrp:-2015 is not listed on IDEAS
    5. Banister, David & Banister, Chris, 1995. "Energy consumption in transport in Great Britain: Macro level estimates," Transportation Research Part A: Policy and Practice, Elsevier, vol. 29(1), pages 21-32, January.
    6. Schwanen, Tim & Mokhtarian, Patricia L., 2005. "What Affects Commute Mode Choice: Neighborhood Physical Structure or Preferences Toward Neighborhoods?," University of California Transportation Center, Working Papers qt4nq9r1c9, University of California Transportation Center.
    7. van de Coevering, Paul & Schwanen, Tim, 2006. "Re-evaluating the impact of urban form on travel patternsin Europe and North-America," Transport Policy, Elsevier, vol. 13(3), pages 229-239, May.
    8. Veronique Van Acker & Frank Witlox & Bert Van Wee, 2007. "The Effects of the Land Use System on Travel Behavior: A Structural Equation Modeling Approach," Transportation Planning and Technology, Taylor & Francis Journals, vol. 30(4), pages 331-353, May.
    9. Hakim Hammadou & Isabelle Thomas & Ann Verhetsel & Frank Witlox, 2008. "How to Incorporate the Spatial Dimension in Destination Choice Models: The Case of Antwerp," Transportation Planning and Technology, Taylor & Francis Journals, vol. 31(2), pages 153-181, January.
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    5. Ignaccolo, Matteo & Inturri, Giuseppe & Le Pira, Michela & Caprì, Salvatore & Mancuso, Valentina, 2016. "Evaluating the role of land use and transport policies in reducing the transport energy dependence of a city," Research in Transportation Economics, Elsevier, vol. 55(C), pages 60-66.
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    10. Modarres, Ali, 2013. "Commuting and energy consumption: toward an equitable transportation policy," Journal of Transport Geography, Elsevier, vol. 33(C), pages 240-249.
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    12. Boussauw, Kobe & Witlox, Frank, 2011. "Linking expected mobility production to sustainable residential location planning: some evidence from Flanders," Journal of Transport Geography, Elsevier, vol. 19(4), pages 936-942.

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