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Workplace Location, Modal Split and Energy Use for Commuting Trips

Author

Listed:
  • Petter Naess

    (Norwegian Institute for Urban and Regional Research, P.O. Box 44, Blindern, N-0313 Oslo, Norway)

  • Synneve Lyssand Sandberg

    (Norwegian Institute for Urban and Regional Research, P.O. Box 44, Blindern, N-0313 Oslo, Norway)

Abstract

A study of six companies in Greater Oslo indicates that both the modal split and the energy use for journeys to work are to a high extent influenced by the geographical location of the workplace. Employees of workplaces in peripheral, low-density parts of the urban area are far more frequent car drivers and use considerably more energy for journeys to work than employees of workplaces located in central, high-density areas. A study of long-term consequences of workplace relocations within the urban area shows that the immediate increase in average commuting distance of a workplace moving to the urban fringe, has not been reversed by subsequent turnover and residential changes among the employees.

Suggested Citation

  • Petter Naess & Synneve Lyssand Sandberg, 1996. "Workplace Location, Modal Split and Energy Use for Commuting Trips," Urban Studies, Urban Studies Journal Limited, vol. 33(3), pages 557-580, April.
    • Handle: RePEc:sae:urbstu:v:33:y:1996:i:3:p:557-580
    DOI: 10.1080/00420989650011915
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    References listed on IDEAS

    as
    1. Lijphart, Arend, 1971. "Comparative Politics and the Comparative Method," American Political Science Review, Cambridge University Press, vol. 65(3), pages 682-693, September.
    2. Genevieve Giuliano & Kenneth A. Small, 1993. "Is the Journey to Work Explained by Urban Structure?," Urban Studies, Urban Studies Journal Limited, vol. 30(9), pages 1485-1500, November.
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    Cited by:

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    2. Marcińczak, Szymon & Bartosiewicz, Bartosz, 2018. "Commuting patterns and urban form: Evidence from Poland," Journal of Transport Geography, Elsevier, vol. 70(C), pages 31-39.
    3. O’Kelly, Morton E. & Niedzielski, Michael A., 2008. "Efficient spatial interaction: attainable reductions in metropolitan average trip length," Journal of Transport Geography, Elsevier, vol. 16(5), pages 313-323.
    4. Xiaoyan Li & Yanchuan Mou & Huiying Wang & Chaohui Yin & Qingsong He, 2018. "How Does Polycentric Urban Form Affect Urban Commuting? Quantitative Measurement Using Geographical Big Data of 100 Cities in China," Sustainability, MDPI, vol. 10(12), pages 1-14, December.
    5. Vale, David S., 2013. "Does commuting time tolerance impede sustainable urban mobility? Analysing the impacts on commuting behaviour as a result of workplace relocation to a mixed-use centre in Lisbon," Journal of Transport Geography, Elsevier, vol. 32(C), pages 38-48.
    6. Petter Næss & Anders Tønnesen & Fitwi Wolday, 2019. "How and Why Does Intra-Metropolitan Workplace Location Affect Car Commuting?," Sustainability, MDPI, vol. 11(4), pages 1-24, February.
    7. Li, Tiebei & Burke, Matthew & Dodson, Jago, 2017. "Transport impacts of government employment decentralization in an Australian city – Testing scenarios using transport simulation," Socio-Economic Planning Sciences, Elsevier, vol. 58(C), pages 63-71.
    8. Dong Lin & Andrew Allan & Jianqiang Cui, 2016. "Exploring Differences in Commuting Behaviour among Various Income Groups during Polycentric Urban Development in China: New Evidence and Its Implications," Sustainability, MDPI, vol. 8(11), pages 1-17, November.
    9. Næss, Petter, 2012. "Urban form and travel behavior: experience from a Nordic context," The Journal of Transport and Land Use, Center for Transportation Studies, University of Minnesota, vol. 5(2), pages 21-45.
    10. 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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