Situated lifestyles: I. How lifestyles change along with the level of urbanization and what the greenhouse gas implications are—a study of Finland
By Jukka Heinonen, Mikko Jalas, Jouni K. Juntunen, Sanna Ala-Mantila, S. Junnila. 2013
187 citations recorded by the source corpus.
An extensive body of literature demonstrates how higher density leads to more efficient energy use and lower greenhouse gas (GHG) emissions from transport and housing. However, our current understanding seems to be limited on the relationships between the urban form and the GHG emissions, namely how the urban form affects the lifestyles and thus the GHGs on a much wider scale than traditionally assumed. The urban form affects housing types, commuting distances, availability of different goods and services, social contacts and emulation, and the alternatives for pastimes, meaning that lifestyles are actually situated instead of personal projects. As almost all consumption, be it services or products, involves GHG emissions, looking at the emissions from transport and housing may not be sufficient to define whether one form would be more desirable than another. In the paper we analyze the urban form–lifestyle relationships in Finland together with the resulting GHG implications, employing both monetary expenditure and time use data to portray lifestyles in different basic urban forms: metropolitan, urban, semi-urban and rural. The GHG implications are assessed with a life cycle assessment (LCA) method that takes into account the GHG emissions embedded in different goods and services. The paper depicts that, while the direct emissions from transportation and housing energy slightly decrease with higher density, the reductions can be easily overridden by sources of indirect emissions. We also highlight that the indirect emissions actually seem to have strong structural determinants, often undermined in studies concerning sustainable urban forms. Further, we introduce a concept of ‘parallel consumption’ to explain how the lifestyles especially in more urbanized areas lead to multiplication of consumption outside of the limits of time budget and the living environment. This is also part I of a two-stage study. In part II we will depict how various other contextual and socioeconomic variables are actually also very important to take into account, and how diverse GHG mitigation strategies would be needed for different types of area in different locations towards a low-carbon future.
Subfields: Environmental Engineering, Renewable Energy, Sustainability and the Environment, Transportation
View Paper: https://www.semanticscholar.org/paper/a4b649e03b1a604869368cf5987211f493367403
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Environmental Engineering
- Richard Wood
- Dominik Wiedenhofer
- Edgar G. Hertwich
- Kjartan Steen‐Olsen
- H. Haberl
- Mikko Jalas
- Bernhard Gill
- S. Moeller
In Renewable Energy, Sustainability and the Environment
- Richard Wood
- Edgar G. Hertwich
- Dominik Wiedenhofer
- Kjartan Steen‐Olsen
- Mikko Jalas
- H. Haberl
- L. Akenji
- Bernhard Gill
In Transportation
Citations in the corpus
- The Carbon Footprint of Norwegian Household Consumption 1999–2012 (2016, background): “…biased toward certain product categories, where the products are of such a nature as to make the respondents less likely to correctly report that particular purchase, or less likely to complete the survey at all (Mørk and Willand-Evensen 2004; Heinonen et al. 2013; Holmøy and Lillegård 2014).”
- Household time use, carbon footprints, and urban form: a review of the potential contributions of everyday living to the 1.5 °C climate target (2018, background): “One critical, but so far under-researched, perspective on deep decarbonization is the relationships between socioeconomic conditions of households, time uses, and carbon footprints [15,16 ,17,22,23 ,24] (Figure 1).”
- GHG Emissions and the Rural-Urban Divide. A Carbon Footprint Analysis Based on the German Official Income and Expenditure Survey (2018, background): “Some of the literature exploring this suggestion points to an increased footprint in cities (Heinonen et al., 2013a).”