Abstract
The literature on sustainable housing is becoming increasingly popular around the world. Empirical research, however, does not acknowledge the existence of a comprehensive and unified approach to sustainable housing goals. It is still unclear if the mindset toward sustainable housing is rooted enough among various stakeholder groups to allow going beyond the concept of energy-efficient developments. That is why the study focuses on examining the perception of sustainable housing goals among future home buyers. The analysis presented in this paper comprises two stages. First, the analytical hierarchy process is used to assess the relative importance of the three main dimensions of sustainable housing, which are: economic, ecological, and social dimensions. Secondly, based on the emerged clusters, willingness to pay for the improvement of the chosen parameters of the residential building is verified. Regarding the adopted research approach, four homogeneous groups of future home buyers have been identified, namely ecologically oriented, socially oriented, cost-saving oriented, and mixed. The results of the study also reveal that the most appealing to future home buyers are the ecological and economic aspects, while the social ones still require further research. The article contributes to a better understanding of the process of sustainable housing development among potential home buyers, and what may be relevant to different stakeholders engaged in the process of sustainable development. Each of the stakeholder groups, starting from households via developers and policy-makers to academia, plays a specific role in this process.
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References
Adamec, J., Janoušková, S., & Hák, T. (2021). How to measure sustainable housing: A proposal for an indicator-based assessment tool. Sustainability, 13(3), 1152.
Ahmad, T., & Thaheem, M. J. (2017). Developing a residential building-related social sustainability assessment framework and its implications for BIM. Sustainable Cities and Society, 28, 1–15. https://doi.org/10.1016/j.scs.2016.08.002
Alaie, A., Yazdanfar, S. A., Norouzian-Maleki, S., & Hosseini, S. B. (2022). Evaluation of studies in the field of social sustainability in housing: A systematic review. Journal of Housing and the Built Environment, 37(4), 2179–2214.
Alyami, S. H., Rezgui, Y., & Kwan, A. (2013). Developing sustainable building assessment scheme for Saudi Arabia: Delphi consultation approach. Renewable and Sustainable Energy Reviews, 27, 43–54.
Andrade, J., & Bragança, L. (2016). Sustainability assessment of dwellings—A comparison of methodologies. Civil Engineering and Environmental Systems, 33(2), 125–146.
Berardi, U. (2013). Clarifying the new interpretations of the concept of sustainable building. Sustainable Cities and Society, 8(2013), 72–78. https://doi.org/10.1016/j.scs.2013.01.008
Breidert, C., Hahsler, M., & Reutterer, T. (2006). A review of methods for measuring willingness-to-pay. Innovative Marketing, 2(4), 8–32.
Chandratilake, S. R., & Dias, W. P. S. (2013). Sustainability rating systems for buildings: Comparisons and correlations. Energy, 59, 22–28.
Chiu, R. L. (2003). Social sustainability, sustainable development and housing development. In Housing and social change: East-west perspectives (vol. 221). New Routledge.
Dempsey, N., Bramley, G., Power, S., & Brown, C. (2011). The social dimension of sustainable development: Defining urban social sustainability. Sustainable Development, 19(5), 289–300.
Eryürük, Ş, Kürüm Varolgüneş, F., & Varolgüneş, S. (2022). Assessment of stakeholder satisfaction as additive to improve building design quality: AHP-based approach. Journal of Housing and the Built Environment, 37(1), 505–528. https://doi.org/10.1007/s10901-021-09855-8
Finkbeiner, M., Schau, E. M., Lehmann, A., & Traverso, M. (2010). Towards life cycle sustainability assessment. Sustainability, 2(10), 3309–3322.
Gawlik, R. (2019). Enhancing managerial decision-making through multicriteria modeling. Cracow University of Technology Press.
Gawlik, R., Głuszak, M., & Małkowska, A. (2017). The measurement of housing preferences in the analytic hierarchy process. Folia Oeconomica Stetinensia, 17(1), 31.
Głuszak, M., Gawlik, R., & Zięba, M. (2017). Smart and green buildings features in the decision-making hierarchy of office space tenants: An analytic hierarchy process study. Administrative Sciences, 9(3), 52. https://doi.org/10.3390/admsci9030052
Głuszak, M., & Marona, B. (2011). Heterogeneity and clustering of housing demand: Case study. Journal of International Studies, 4(1), 89–97.
Golubchikov, O., & Badyina, A. (2012). Sustainable housing for sustainable cities: a policy framework for developing countries. UN-HABITAT.
Gurmu, A., Shooshtarian, S., Mahmood, M. N., Hosseini, M. R., Shreshta, A., & Martek, I. (2022). The state of play regarding the social sustainability of the construction industry: A systematic review. Journal of Housing and the Built Environment, 37(2), 595–624.
He, C., Yu, S., Han, Q., & de Vries, B. (2019). How to attract customers to buy green housing? Their heterogeneous willingness to pay for different attributes. Journal of Cleaner Production, 230, 709–719.
Ishizaka, A., & Labib, A. (2011). Review of the main developments in the analytic hierarchy process. Expert Systems with Applications, 38(11), 14336–14345.
Jain, A. K. (2010). Data clustering : 50 years beyond K-means. Pattern Recognition Letters, 31(8), 651–666. https://doi.org/10.1016/j.patrec.2009.09.011
Kaya, S. K., Ozdemir, Y., & Dal, M. (2019). Home-buying behaviour model of generation Y in Turkey. International Journal of Housing Markets and Analysis, 13(5), 713–736.
Khan, R. A. J., Thaheem, M. J., & Ali, T. H. (2020). Are Pakistani homebuyers ready to adopt sustainable housing? An insight into their willingness to pay. Energy Policy, 143(111598), 1–10. https://doi.org/10.1016/j.enpol.2020.111598
Kubba, S. (2012). Handbook of green building design and construction: LEED, BREEAM, and Green Globes. Butterworth-Heinemann.
Lee, W. L. (2013). A comprehensive review of metrics of building environmental assessment schemes. Energy and Buildings, 62, 403–413.
Li, Q., Long, R., & Chen, H. (2018). Differences and influencing factors for Chinese urban resident willingness to pay for green housings: Evidence from five first-tier cities in China. Applied Energy, 229, 299–313.
Małkowska, A., & Uhruska, M. (2019). Towards specialization or extension? Searching for valuation services models using cluster analysis. Real Estate Management and Valuation, 27(4), 27–38. https://doi.org/10.2478/remav-2019-0033
Meex, E., Hollberg, A., Knapen, E., Hildebrand, L., & Verbeeck, G. (2018). Requirements for applying LCA-based environmental impact assessment tools in the early stages of building design. Building and Environment, 133, 228–236.
Mondini, G. (2019). Sustainability assessment: From brundtland report to sustainable development goals. Valori e valutazioni, 23, 66.
Morgan, R. K. (2012). Environmental impact assessment: The state of the art. Impact Assessment and Project Appraisal, 30(1), 5–14.
Mulliner, E., Malys, N., & Maliene, V. (2016). Comparative analysis of MCDM methods for the assessment of sustainable housing affordability. Omega, 59, 146–156.
Pickvance, C. (2009). The construction of UK sustainable housing policy and the role of pressure groups. Local Environment, 14(4), 329–345.
Prochorskaite, A., Couch, C., Malys, N., & Maliene, V. (2016). Housing stakeholder preferences for the “Soft” features of sustainable and healthy housing design in the UK. International Journal of Environmental Research and Public Health, 13(1), 111. https://doi.org/10.3390/ijerph13010111
Qian, Q. K., Chan, E. H., Visscher, H., & Lehmann, S. (2015). Modeling the green building (GB) investment decisions of developers and end-users with transaction costs (TCs) considerations. Journal of Cleaner Production, 109, 315–325.
Rid, W., & Profeta, A. (2011). Stated preferences for sustainable housing development in Germany—A latent class analysis. Journal of Planning Education and Research, 31(1), 26–46. https://doi.org/10.1177/0739456X10393952
Saaty, T. L. (1990). How to make a decision: The analytic hierarchy process. European Journal of Operational Research, 48(1), 9–26.
Sadeghi, M., Naghedi, R., Behzadian, K., Shamshirgaran, A., Tabrizi, M. R., & Maknoon, R. (2022). Customisation of green buildings assessment tools based on climatic zoning and experts judgement using K-means clustering and fuzzy AHP. Building and Environment, 223(May), 109473. https://doi.org/10.1016/j.buildenv.2022.109473
Sharma, G. (2017). Pros and cons of different sampling techniques. International Journal of Applied Research, 3(7), 749–752.
Tianyu, J., & Meng, L. (2020). Does education increase pro-environmental willingness to pay? Evidence from Chinese household survey. Journal of Cleaner Production, 275, 122713. https://doi.org/10.1016/j.jclepro.2020.122713
Tipoe, E., Adams, A., & Crawford, I. (2022). Revealed preference analysis and bounded rationality. Oxford Economic Papers, 74(2), 313–332. https://doi.org/10.1093/oep/gpab018
Tomal, M. (2021). Housing market heterogeneity and cluster formation : Evidence from Poland. International Journal of Housing Markets and Analysis, 14(5), 1166–1185. https://doi.org/10.1108/IJHMA-09-2020-0114
Tupenaite, L., Lill, I., Geipele, I., & Naimaviciene, J. (2017). Ranking of sustainability indicators for assessment of the new housing development projects: Case of the Baltic States. Resources, 6(4), 1–21. https://doi.org/10.3390/resources6040055
Verhetsel, A., Kessels, R., Zijlstra, T., & Van Bavel, M. (2017). Housing preferences among students: Collective housing versus individual accommodations? A stated preference study in Antwerp (Belgium). Journal of Housing and the Built Environment, 32(3), 449–470. https://doi.org/10.1007/s10901-016-9522-5
Węgrzyn, J., & Najbar, K. (2022). Condominium co-owners and their typology based on their engagement in the process of decision-making. Real Estate Management and Valuation, 30(2), 21–33.
Winston, N. (2009). Urban regeneration for sustainable development: The role of sustainable housing? European Planning Studies, 17(12), 1781–1796.
Winston, N. (2010). Regeneration for sustainable communities? Barriers to implementing sustainable housing in urban areas. Sustainable Development, 18(6), 319–330.
World Commission on Environment and Development. (1987). Our common future. Oxford University Press. http://www.un-documents.net/our-common-future.pdf
Zalejska-Jonsson, A. (2014). Stated WTP and rational WTP: Willingness to pay for green apartments in Sweden. Sustainable Cities and Society, 13, 46–56.
Zhao, D. X., He, B. J., Johnson, C., & Mou, B. (2015). Social problems of green buildings: From the humanistic needs to social acceptance. Renewable and Sustainable Energy Reviews, 51, 1594–1609. https://doi.org/10.1016/j.rser.2015.07.072
Źróbek, S., Trojanek, M., Źróbek-Sokolnik, A., & Trojanek, R. (2015). The influence of environmental factors on property buyers’ choice of residential location in Poland. Journal of International Studies, 7(3), 163–173.
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The research leading to these results received funding from the Cracow University of Economics under Grant Agreement No. 18/EEN/2023/POT.
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Węgrzyn, J., Kania, K. Heterogeneous preferences for sustainable housing: evidence from Poland. J Hous and the Built Environ (2024). https://doi.org/10.1007/s10901-023-10101-6
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DOI: https://doi.org/10.1007/s10901-023-10101-6