Cited by 32Housing Market and EconomicsSustainable Building Design and AssessmentCollaborative and Sustainable Housing Initiatives

Obstacles and opportunities for reducing dwelling size to shrink the environmental footprint of housing: tenants’ residential preferences and housing choice

Open access
Karlen, Claudine, Pagani, Anna, Binder, Claudia R.·2022·Journal of Housing and the Built Environment

Abstract

The environmental footprint of housing is greatly influenced by the size of a dwelling. Housing size is the result of households’ dwelling selections; accordingly, it is critical to consider residential preferences and choices to inform efforts towards housing sustainability. This study aimed to understand tenants’ preferences for and choices of housing size as one amongst several dwelling characteristics and identify obstacles and opportunities for reducing size in the light of promoting sustainable housing. We employed logistic regression models to analyse a survey with 878 Swiss tenants, and our results identify preference for large dwellings as a major obstacle for reducing dwelling size among affluent tenants. Conversely, tenants with lower income might be forced to move to a smaller dwelling due to financial constraints or attribute higher importance to the financial benefit of lower rents. However, financial disincentives along with substantial non-monetary costs of moving, such as the disruption of local bonds and the difficulty of finding a satisfactory dwelling, can outweigh the benefits of moving to a smaller dwelling. To overcome such obstacles, we suggest offering incentives and other facilitating measures for downsizing moves as well as ensuring an adequate supply of smaller dwellings capable of providing high living quality. We highlight the potential of studying housing functions to conceptualize dwellings fulfilling these requirements.

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1007/s10901-021-09884-3

Cites

1 of 1 references verified0 citation errors · 0 not checkable

Statistics

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

  • Extending floor area maximums to market rate units could help to moderate the emissions of high-consumption households.

    “Extending this to market rate units could help to moderate the emissions of high-consumption households (Cohen 2021;Karlen et al. 2022).”

    From Making embodied carbon mainstream: a framework for cities to leverage waste, equity, and preservation policy to reduce embodied emissions in buildings (2023) · cites this paper as Karlen et al. 2022

    The Introduction links greater per-person floor space to a larger housing footprint, and the Conclusion advocates facilitating downsizing in the private rental market, including for affluent households. The Discussion also suggests extending minimum-occupancy rules beyond cooperatives. It does not specifically propose floor-area maximums for market-rate units or assess their effect on high-consumption households’ emissions. (LLM, conf=0.84)

    Experimental — accuracy not yet measured

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Cites

Flagged first, then by citations

Research works printed but not linked: 45

  1. Backhaus K Erichson B Plinke W Weiber R Multivariate Analysemethoden 2018 Berlin Springer
  2. Balmer I Gerber JD Why are housing cooperatives successful? Insights from Swiss affordable housing policy Housing Studies 2018 33 3 361 385 10.1080/02673037.2017.1344958 · DOI
  3. Bourassa SC Hoesli M Scognamiglio D Housing finance, prices, and tenure in Switzerland Journal of Real Estate Literature 2010 18 2 263 282 10.1080/10835547.2010.12090281 · DOI
  4. Bradbury M Peterson MN Liu J Long-term dynamics of household size and their environmental implications Population and Environment 2014 36 1 73 84 10.1007/s11111-014-0203-6 · DOI
  5. Brown LA Moore EG The intra-urban migration process: A perspective Geografiska Annaler: Series b, Human Geography 1970 52 1 1 13 10.1080/04353684.1970.11879340 · DOI
  6. Clark WAV Deurloo MC Dieleman FM Housing consumption and residential mobility Annals of the Association of American Geographers 1984 74 1 29 43 10.1111/j.1467-8306.1984.tb01432.x · DOI
  7. Clark WAV Lisowski W Decisions to move and decisions to stay: Life course events and mobility outcomes Housing Studies 2017 32 5 547 565 10.1080/02673037.2016.1210100 · DOI
  8. Clark WAV Onaka JL Life cycle and housing adjustment as explanations of residential mobility Urban Studies 1983 20 1 47 57 10.1080/713703176 · DOI
  9. Clune S Morrissey J Moore T Size matters: House size and thermal efficiency as policy strategies to reduce net emissions of new developments Energy Policy 2012 48 657 667 10.1016/j.enpol.2012.05.072 · DOI
  10. de Groot C Mulder CH Das M Manting D Life events and the gap between intention to move and actual mobility Environment and Planning A 2011 43 1 48 66 10.1068/a4318 · DOI
  11. de Groot C Mulder CH Manting D Intentions to move and actual moving behaviour in The Netherlands Housing Studies 2011 26 3 307 328 10.1080/02673037.2011.542094 · DOI
  12. Delbiaggio K Wanzenried G Mowers A Subjektiver Überkonsum von Wohnraum: Empirische Evidenz für die Schweiz Raumforschung Und Raumordnung 2018 76 4 309 326 10.1007/s13147-018-0541-4 · DOI
  13. Dieleman FM Modelling residential mobility; a review of recent trends in research Journal of Housing and the Built Environment 2001 16 3–4 249 265 10.1023/A:1012515709292 · DOI
  14. Dieleman FM Schouw RJ Divorce, mobility and housing demand European Journal of Population 1989 5 235 252 10.1007/BF01796818 12342570 · DOI
  15. Dowling R Power E Sizing Home, Doing Family in Sydney Australia Housing Studies 2012 27 5 605 619 10.1080/02673037.2012.697552 · DOI
  16. Dürrenberger G Patzel N Hartmann C Household energy consumption in Switzerland International Journal of Environment and Pollution 2001 15 2 159 170 10.1504/IJEP.2001.000599 · DOI
  17. Ellsworth-Krebs K Implications of declining household sizes and expectations of home comfort for domestic energy demand Nature Energy 2020 5 1 20 25 10.1038/s41560-019-0512-1 · DOI
  18. Ellsworth-Krebs K Reid L Hunter CJ Integrated framework of home comfort: Relaxation, companionship and control Building Research and Information 2019 47 2 202 218 10.1080/09613218.2017.1410375 · DOI
  19. Ellsworth-Krebs K Reid L Hunter CJ Home Comfort and “Peak Household”: Implications for Energy Demand Housing, Theory and Society 2021 38 1 1 20 10.1080/14036096.2019.1694579 · DOI
  20. Fiori F Graham E Feng Z Household changes and diversity in housing consumption at older ages in Scotland Ageing and Society 2019 39 1 161 193 10.1017/S0144686X17000873 · DOI
  21. Guerra Santin O Itard L Visscher H The effect of occupancy and building characteristics on energy use for space and water heating in Dutch residential stock Energy and Buildings 2009 41 11 1223 1232 10.1016/j.enbuild.2009.07.002 · DOI
  22. Hooimeijer P Oskamp A A simulation model of residential mobility and housing choice Netherlands Journal of Housing and the Built Environment 1996 11 3 313 336 10.1007/BF02496594 · DOI
  23. Huebner GM Hamilton I Chalabi Z Shipworth D Oreszczyn T Explaining domestic energy consumption - The comparative contribution of building factors, socio-demographics, behaviours and attitudes Applied Energy 2015 159 589 600 10.1016/j.apenergy.2015.09.028 · DOI
  24. Huebner GM Shipworth D All about size? – The potential of downsizing in reducing energy demand Applied Energy 2017 186 2017 226 233 10.1016/j.apenergy.2016.02.066 · DOI
  25. Kan K Expected and unexpected residential mobility Journal of Urban Economics 1999 45 1 72 96 10.1006/juec.1998.2082 · DOI
  26. Lavagna M Baldassarri C Campioli A Giorgi S Dalla Valle A Castellani V Sala S Benchmarks for environmental impact of housing in Europe: Definition of archetypes and LCA of the residential building stock Building and Environment 2018 145 260 275 10.1016/j.buildenv.2018.09.008 · DOI
  27. Lu M Analyzing migration decisionmaking: Relationships between residential satisfaction, mobility intentions, and moving behavior Environment and Planning A 1998 30 8 1473 1495 10.1068/a301473 12293863 · DOI
  28. Molin E Oppewal H Timmermans H Predicting consumer response to new housing: A stated choice experiment Netherlands Journal of Housing and the Built Environment 1996 11 3 297 311 10.1007/BF02496593 · DOI
  29. Mulder CH Housing choice: Assumptions and approaches Netherlands Journal of Housing and the Built Environment 1996 11 3 209 232 10.1007/BF02496589 · DOI
  30. Mulder CH Hooimeijer P van Wissen LJG Dykstra PA Residential relocations in the life course Population Issues: An Interdisciplinary Focus 1999 Berlin Springer 159 186
  31. Pagani, A., & Binder, C. R. (2021). A systems perspective for residential preferences and dwellings: housing functions and their role in Swiss residential mobility. Housing Studies, 1–25. 10.1080/02673037.2021.1900793. · DOI
  32. Pagani, A., Laurenti, R., & Binder, C. R. (2020). Sustainability assessment of the housing system: exploring the interplay between the material system and the social structure. In C. R. Binder, R. Wyss, & E. Massaro (Eds.), Sustainability Assessment of Urban Systems (pp. 384-416). Cambridge: Cambridge University Press. 10.1017/9781108574334. ISBN: 9781108574334. · DOI
  33. Pagani, A., Baur, I., & Binder, C. R. (2021). Tenants’ residential mobility in Switzerland: the role of housing functions. Journal of Housing and the Built Environment. 10.1007/s10901-021-09874-5. PMC8604831 34867128 · DOI
  34. Perkins A Hamnett S Pullen S Zito R Trebilcock D Transport, housing and urban form: The life cycle energy consumption and emissions of city centre apartments compared with suburban dwellings Urban Policy and Research 2009 27 4 377 396 10.1080/08111140903308859 · DOI
  35. Randolph, J. (2008). Comment on Reid Ewing and Fang Rong’s “The impact of urban form on U.S. residential energy use.” Housing Policy Debate, 19(1), 45–52.
  36. Rérat, P. (2020). Residential mobility. In O. B. Jensen, C. Lassen, V. Kaufmann, M. Freudendal-Pedersen, & I. S. Gotzsche Lange (Eds.), Handbook uf Urban Mobilities. Abingdon: Routledge.
  37. Royston S Selby J Shove E Invisible energy policies: A new agenda for energy demand reduction Energy Policy 2018 123 August 127 135 10.1016/j.enpol.2018.08.052 · DOI
  38. Saner D Heeren N Jäggi B Waraich RA Hellweg S Housing and mobility demands of individual households and their life cycle assessment Environmental Science and Technology 2013 47 11 5988 5997 10.1021/es304084p 23647391 · DOI
  39. Speare A Residential satisfaction as an intervening variable in residential mobility Demography 1974 11 2 173 188 10.2307/2060556 21274806 · DOI
  40. Tranda-Pittion, M. (2009). Production de logements et urbanisme: quels acteurs pour quels processus? In L. Pattaroni, V. Kaufmann, & A. Rabinovich (Eds.), Habitat en devenir enjeux territoriaux, politiques et sociaux du logement en Suisse. Lausanne: Presses polytechniques et universitaires romandes.
  41. Underwood A Zahran S The carbon implications of declining household scale economies Ecological Economics 2015 116 182 190 10.1016/j.ecolecon.2015.04.028 · DOI
  42. van Ham M Clapham DF Clark WAV Gibb K Housing Behaviour The SAGE Handbook of Housing Studies 2012 London SAGE Publications Ltd 47 65
  43. Werczberger E Home ownership and rent control in Switzerland Housing Studies 1997 12 3 337 353 10.1080/02673039708720900 · DOI
  44. Williams J Innovative solutions for averting a potential resource crisis - The case of one-person households in England and Wales Environment, Development and Sustainability 2007 9 3 325 354 10.1007/s10668-006-9068-x · DOI
  45. Wong GKM A conceptual model of the household’s housing decision-making process: The economic perspective Review of Urban and Regional Development Studies 2002 14 3 227 234 10.1111/1467-940X.00055 · DOI

Authors
Karlen, C., Pagani, A., & Binder, C. R.
Affiliations
École Polytechnique Fédérale de Lausanne (CH)
Corresponding author
Pagani, Anna
Venue
Journal of Housing and the Built Environment
Published
2021-09-13
Volume
37
Issue
3
Pages
1367-1408
ISSN
  • 1566-4910 (ISSN-L)
  • 1573-7772
OpenAlex
W3199735118
Cited by
32
References
1
Citations by year
2026: 7 · 2025: 8 · 2024: 7 · 2023: 7 · 2022: 3
FWCI
3.24
Type
journal article
Language
en
Open access
Locations
  • Journal of Housing and the Built Environment (publishedVersion, cc-by)
  • PubMed Central (publishedVersion, cc-by)
  • PubMed (publishedVersion)
  • UCL Discovery (University College London) (submittedVersion)
  • Infoscience (Ecole Polytechnique Fédérale de Lausanne) (submittedVersion, cc-by-nc-nd)
  • Research Portal (King's College London) (submittedVersion, other-oa)
Funders
  • Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung (407340_172435)
  • EPFL Lausanne
Topics
  • Social Sciences › Economics, Econometrics and Finance › Economics and Econometrics › Housing Market and Economics
  • Physical Sciences › Engineering › Building and Construction › Sustainable Building Design and Assessment
  • Social Sciences › Urban Studies › Collaborative and Sustainable Housing Initiatives
Keywords
house size, sustainable housing, housing choice, housing affordability, rent, migration costs, housing supply, housing function

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review