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Informing Sustainable Consumption in Urban Districts: A Method for Transforming Household Expenditures into Physical Quantities

Author

Listed:
  • Alice Whetstone

    (Urban Metabolism Group, Department of Architecture and Civil Engineering, Chalmers University of Technology, 412 58 Gothenburg, Sweden)

  • Yuliya Kalmykova

    (Urban Metabolism Group, Department of Architecture and Civil Engineering, Chalmers University of Technology, 412 58 Gothenburg, Sweden)

  • Leonardo Rosado

    (Urban Metabolism Group, Department of Architecture and Civil Engineering, Chalmers University of Technology, 412 58 Gothenburg, Sweden)

  • Alexandra Lavers Westin

    (Urban Metabolism Group, Department of Architecture and Civil Engineering, Chalmers University of Technology, 412 58 Gothenburg, Sweden)

Abstract

Interventions targeted at district-level are a potentially effective way to reduce consumption-based urban impacts; however, a systematic method for accounting these impacts at district scale has not yet been developed. This article outlines a method for transforming household expenditure data into consumption quantified on a physical basis. Data sources are combined to calculate monetary value per unit mass for different products consumed by households. Socio-economic household archetypes are selected, and typical consumption for these archetypes is calculated by combining expenditure data from a household budget survey with the calculated monetary values per unit mass. The resulting physical quantities of different products consumed are envisaged as an essential part of performing district scale material flow analysis and urban metabolism studies, also as an input for assessing consumption-based environmental impacts and for designing sustainable consumption policies. The method was applied to characterise consumption in urban districts. The obtained results were used to assess of districts’ consumption-based impacts with life cycle assessment (LCA) and to inform design of sharing economy. The method was found to be an effective way to evaluate the demand for products in different districts; this in turn could inform objective measures to aid more sustainable urban consumption.

Suggested Citation

  • Alice Whetstone & Yuliya Kalmykova & Leonardo Rosado & Alexandra Lavers Westin, 2020. "Informing Sustainable Consumption in Urban Districts: A Method for Transforming Household Expenditures into Physical Quantities," Sustainability, MDPI, vol. 12(3), pages 1-16, January.
  • Handle: RePEc:gam:jsusta:v:12:y:2020:i:3:p:802-:d:311769
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    References listed on IDEAS

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    1. Teubler, Jens & Buhl, Johannes & Lettenmeier, Michael & Greiff, Kathrin & Liedtke, Christa, 2018. "A Household's Burden – The Embodied Resource Use of Household Equipment in Germany," Ecological Economics, Elsevier, vol. 146(C), pages 96-105.
    2. Giovanni Baiocchi & Jan Minx & Klaus Hubacek, 2010. "The Impact of Social Factors and Consumer Behavior on Carbon Dioxide Emissions in the United Kingdom," Journal of Industrial Ecology, Yale University, vol. 14(1), pages 50-72, January.
    3. Robin Harder & Yuliya Kalmykova & Gregory M. Morrison & Fen Feng & Mikael Mangold & Lisa Dahlén, 2014. "Quantification of Goods Purchases and Waste Generation at the Level of Individual Households," Journal of Industrial Ecology, Yale University, vol. 18(2), pages 227-241, April.
    4. Mette Wier & Manfred Lenzen & Jesper Munksgaard & Sinne Smed, 2001. "Effects of Household Consumption Patterns on CO2 Requirements," Economic Systems Research, Taylor & Francis Journals, vol. 13(3), pages 259-274.
    5. Manfred Lenzen & Greg M. Peters, 2010. "How City Dwellers Affect Their Resource Hinterland," Journal of Industrial Ecology, Yale University, vol. 14(1), pages 73-90, January.
    6. Alexandra Lavers Westin & Yuliya Kalmykova & Leonardo Rosado, 2019. "Method for Quantitative Evaluation of Sustainability Measures: A Systems Approach for Policy Prioritization," Sustainability, MDPI, vol. 11(3), pages 1-19, January.
    7. Jukka Heinonen & Seppo Junnila, 2011. "A Carbon Consumption Comparison of Rural and Urban Lifestyles," Sustainability, MDPI, vol. 3(8), pages 1-16, August.
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    1. Alexandra Lavers Westin & Leonardo Rosado & Yuliya Kalmykova & João Patrício, 2020. "Methods for Downscaling National Material Consumption Data to the Regional and Municipal Levels," Sustainability, MDPI, vol. 12(20), pages 1-16, October.

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