Have a personal or library account? Click to login

Devil in the Details – Visual Perception of the Landscape Features by Potential Residential Buyers

Open Access
|Jan 2025

References

  1. Arndt, A., Harrison, D. M., Lane, M. A., Seiler, M. J., & Seiler, V. L. (2013). Can agents influence property perceptions through their appearance and use of pathos? Housing Studies, 28(8), 1105–1116. https://doi.org/10.1080/02673037.2013.802292
  2. Barli, O., Bilgili, B., & Dane, S. (2006). Association of consumers’ sex and eyedness and lighting and wall color of a store with price attraction and perceived quality of goods and inside visual appeal. Perceptual and Motor Skills, 103(2), 447–450. https://doi.org/10.2466/pms.103.2.447-450 PMID:17165407
  3. Biswas, G., & Roy, T. K. (2023). Measuring objective walkability from pedestrian-level visual perception using machine learning and GSV in Khulna, Bangladesh. Geomatics and Environmental Engineering, 17(6), 5–34. https://doi.org/10.7494/geom.2023.17.6.5
  4. Bobrowska, E., Tokarczyk-Dorociak, K., Stemmer, B., Bernstein, F., & Kazak, J. (2023). Review of Polish practices used in landscape assessment in the environmental impact assessment with a recommended procedure. Landscape Online, 98, 1117. https://doi.org/10.3097/LO.2023.1117
  5. Castro Noblejas, H., De Paola, P., & Vías Martínez, J. (2023). Landscape value in the Spanish Costa del Sol’s real estate market: The case of Marbella. Land (Basel), 12(5), 987. https://doi.org/10.3390/land12050987
  6. Des Rosiers, F., Thériault, M., Kestens, Y., & Villeneuve, P. (2002). Landscaping and house values: An empirical investigation. Journal of Real Estate Research, 23(1-2), 139–162. https://doi.org/10.1080/10835547.2002.12091072
  7. Duchowski, A. T. (2017). Eye tracking techniques. In eye tracking methodology. Springer. https://doi.org/10.1007/978-3-319-57883-5_5
  8. Eroğlu, E., Müderrisoğlu, H., & Kesim, G. A. (2012). The effect of seasonal change of plants compositions on visual perception. Journal of Environmental Engineering and Landscape Management, 20(3), 195–205. https://doi.org/10.3846/16486897.2011.646007
  9. Garber Jr., L. L., Dotson, M. J., & Honeycutt Jr., E. D., (2013). The perceived visual similarity of realtors: An exploratory study. International Journal of Management Practice, 6(4), 320–337. https://doi.org/10.1504/IJMP.2013.057822
  10. Gasparini, K. (2017). Media-surface design for urban regeneration: The role of colour and light for public space usability. Journal of the International Colour Association, 17, 38–49.
  11. Ito, K., Kang, Y., Zhang, Y., Zhang, F., & Biljecki, F. (2024). Understanding urban perception with visual data: A systematic review. Cities (London, England), 152, 105169. https://doi.org/10.1016/j.cities.2024.105169
  12. Janowski, A., Renigier–Biłozor, M., & Walacik, M. (2024). An experimental approach to decoding human reactions through mixed measurements. Measurement, 230, 114547. https://doi.org/10.1016/j.measurement.2024.114547
  13. Jia, J., Zhang, X., Huang, C., & Luan, H. (2022). Multiscale analysis of human social sensing of urban appearance and its effects on house price appreciation in Wuhan, China. Sustainable Cities and Society, 81, 103844. https://doi.org/10.1016/j.scs.2022.103844
  14. Jim, C. Y., & Chen, W. Y. (2009). Value of scenic views: Hedonic assessment of private housing in Hong Kong. Landscape and Urban Planning, 91(4), 226–234. https://doi.org/10.1016/j.landurbplan.2009.01.009
  15. Kuper, R. (2013). Here and gone: The visual effects of seasonal changes in plant and vegetative characteristics on landscape preference criteria. Landscape Journal, 32(1), 65–78. https://doi.org/10.3368/lj.32.1.65
  16. Lasiewicz-Sych, A., & Lewicka, M. (2024). The engagement of Polish residents with their home space in single-family houses and flats in multi-family blocks of flats. Journal of Housing and the Built Environment, 39, 1035–1062. https://doi.org/10.1007/s10901-024-10112-x
  17. Lee, H., Lee, B., & Lee, S. (2020). The unequal impact of natural landscape views on housing prices: Applying visual perception model and quantile regression to apartments in Seoul. Sustainability (Basel), 12(19), 8275. https://doi.org/10.3390/su12198275
  18. Liechty, M. M., & Madhavan, P. (2011). Impact of user experience and negative externalities on internet search patterns. Proceedings of the Human Factors and Ergonomics Society Annual Meeting, 55(1), 1085–1089. https://doi.org/10.1177/1071181311551227
  19. López-Contreras, C., Collantes-Chávez-Costa, A. L., Barrasa-García, S., & Alanis-Rodriguez, E. (2019). Conceptual framework and methods for the visual assessment of landscapes. Agrociencia, 53(7), 1085–1104.
  20. McLellan, G., & Guaralda, M. (2018). Exploring environmental colour design in urban contexts. Journal of Public Space, 3(1), 93–102. https://doi.org/10.5204/jps.v3i1.320
  21. Měkota, T. (2024). Using eye tracking to study reading landscape: A systematic review. AUC Geographica, 59(1), 120–136. https://doi.org/10.14712/23361980.2024.8
  22. Misthos, L. M., Krassanakis, V., Merlemis, N., & Kesidis, A. L. (2023). Modeling the visual landscape: A review on approaches, methods and techniques. Sensors (Basel), 23(19), 8135. https://doi.org/10.3390/s23198135 PMID:37836966
  23. Montañana, A., Nolé, M. L., & Llinares, C. (2024). Strategic design approaches for eliciting the perception of ‘prestige’ in housing consumers. Buildings, 14(3), 853. https://doi.org/10.3390/buildings14030853
  24. Osikowska, W., & Przetacznik, J. (2007). Problemy percepcji i oceny estetycznej krajobrazu Krakowa (The problems of perception and aesthetic assessment of Krakow’s landscape). Roczniki Geomatyki-Annals of Geomatics, 5(8), 79–88.
  25. Osikowska, W., & Przetacznik, J. (2008). Percepcja i ocena estetyczna krajobrazu Krakowa (Perception and evaluation of Krakow landscape). Czasopismo Techniczne. Architektura, 105(1-A), 147–170.
  26. Pachali, M. J., Kurz, P., & Otter, T. (2023). Omitted budget constraint bias and implications for competitive pricing. JMR, Journal of Marketing Research, 60(5), 968–986. https://doi.org/10.1177/00222437221145283
  27. Pernice, K., & Nielsen, J. (2009). How to conduct eyetracking studies. Nielsen Norman Group. Available online: http://www.nngroup.com/reports/how-to-conduct-eyetrackingstudies, access: 7.10.2024.
  28. Potrawa, T., & Tetereva, A. (2022). How much is the view from the window worth? Machine learning-driven hedonic pricing model of the real estate market. Journal of Business Research, 144, 50–65. https://doi.org/10.1016/j.jbusres.2022.01.027
  29. Public Information Bulletin for the City of Krakow (N/A). Zasoby i tereny mieszkaniowe oraz infrastruktura społeczna (Resources and housing areas, and social infrastructure), https://www.bip.krakow.pl/zalaczniki/dokumenty/174, access: 23.08.2024.
  30. Purves, D., Augustine, G., Fitzpatrick, D., Hall, W., LaMantia, A., White, L., Mooney, R., & Platt, M. (Eds.). (2018). Neuroscience. 6th. Oxford University Press.
  31. Qiu, W., Zhang, Z., Liu, X., Li, W., Li, X., Xu, X., & Huang, X. (2022). Subjective or objective measures of street environment, which are more effective in explaining housing prices? Landscape and Urban Planning, 221, 104358. https://doi.org/10.1016/j.landurbplan.2022.104358
  32. Renigier-Biłozor, M., Janowski, A., Walacik, M., & Chmielewska, A. (2022). Human emotion recognition in the significance assessment of property attributes. Journal of Housing and the Built Environment, 37(1), 23–56. https://doi.org/10.1007/s10901-021-09833-0
  33. Riccioli, F., Fratini, R., & Boncinelli, F. (2021). The impacts in real estate of landscape values: evidence from Tuscany (Italy). Sustainability (Basel), 13(4), 2236. https://doi.org/10.3390/su13042236
  34. Salvucci, D. D., & Goldberg, J. H. (2000). Identifying fixations and saccades in eye-tracking protocols. In Proceedings of the 2000 symposium on Eye tracking research & applications, 71-78. https://doi.org/10.1145/355017.355028
  35. Skripkiūnas, T., & Navickas, V. (2023). Architectural factors influencing a housing market value: A theoretical framework. Real Estate Management and Valuation, 31(1), 25–35. https://doi.org/10.2478/remav-2023-0003
  36. Song, Q., Liu, Y., Qiu, W., Liu, R., & Li, M. (2022). Investigating the impact of perceived micro-level neighborhood characteristics on housing prices in Shanghai. Land (Basel), 11(11), 2002. https://doi.org/10.3390/land11112002
  37. Spering, M., & Carrasco, M. (2015). Acting without seeing: Eye movements reveal visual processing without awareness. Trends in Neurosciences (Regular Ed.), 38(4), 247–258. https://doi.org/10.1016/j.tins.2015.02.002
  38. Strzałkowski, M., & Lewicka, M. (2024). Would you rather live in the gray or pink building? Acceptance of colored façades of apartment blocks among architects and laypersons and their relationship to cultural capital. Journal of Environmental Psychology, 95, 102279. https://doi.org/10.1016/j.jenvp.2024.102279
  39. Suzianti, A., Rengkung, S., Nurtjahyo, B., & Al Rasyid, H. (2015). An analysis of cognitive-based design of yogurt product packaging. International Journal of Technology, 6(4), 659–669. https://doi.org/10.14716/ijtech.v6i4.1105
  40. Szczepańska, A., & Pietrzyk, K. (2022). Seasons of the year and perceptions of public spaces. Landscape Journal, 40(2), 19–35. https://doi.org/10.3368/lj.40.2.19
  41. Szczepańska, A., Krzywnicka, I., & Lemański, G. (2016). Urban greenery as a component of real estate value. Real Estate Management and Valuation, 24(4), 79–87. https://doi.org/10.1515/remav-2016-0032
  42. Teo, H. C., Fung, T. K., Song, X. P., Belcher, R. N., Siman, K., Chan, I. Z., & Koh, L. P. (2023). Increasing contribution of urban greenery to residential real estate valuation over time. Sustainable Cities and Society, 96, 104689. https://doi.org/10.1016/j.scs.2023.104689
  43. Thompson, C. W. (2018). Landscape perception and environmental psychology. In P. Howard, I. Thompson, E. Waterton, & M. Atha (Eds.), The Routledge companion to landscape studies (pp. 19–38). Routledge., https://doi.org/10.4324/9781315195063-2
  44. Wang, Y., Zhao, L., Sobkowiak, L., Guan, X., & Wang, S. (2015). Impact of urban landscape and environmental externalities on spatial differentiation of housing prices in Yangzhou City. Journal of Geographical Sciences, 25, 1122–1136. https://doi.org/10.1007/s11442-015-1223-6
  45. Węgrzynowicz, P. (2022). Characteristics of residential areas in Krakow Functional Urban Area. Journal of Settlements & Spatial Planning. https://doi.org/10.24193/JSSPSI.03.CSPTER.
  46. Wiejak-Roy, G. A. (2023). Strategic vendor due diligence in real estate transactions. Journal of European Real Estate Research, 16(1), 78–91. https://doi.org/10.1108/JERER-04-2022-0012
  47. Wolf, C., & Lappe, M. (2021). Vision as oculomotor reward: Cognitive contributions to the dynamic control of saccadic eye movements. Cognitive Neurodynamics, 15(4), 547–568. https://doi.org/10.1007/s11571-020-09661-y PMID:34367360
  48. Zhang, C., He, H., & Wang, C. (2024). Heterogeneity in Marginal Willingness to Pay for Urban Space Quality: A Case Study in Beijing. Journal of Urban Planning and Development, 150(2), 05024008. https://doi.org/10.1061/JUPDDM.UPENG-4654
  49. Zhou, X., Cen, Q., & Qiu, H. (2023). Effects of urban waterfront park landscape elements on visual behavior and public preference: Evidence from eye-tracking experiments. Urban Forestry & Urban Greening, 82, 127889. https://doi.org/10.1016/j.ufug.2023.127889
  50. Zhu, J., Gong, Y., Liu, C., Du, J., Song, C., Chen, J., & Pei, T. (2023). Assessing the effects of subjective and objective measures on housing prices with street view imagery: Acase study of Suzhou. Land (Basel), 12(12), 2095. https://doi.org/10.3390/land12122095
Language: English
Page range: 85 - 103
Submitted on: Sep 9, 2024
Accepted on: Jan 16, 2025
Published on: Jan 20, 2025
Published by: Real Estate Management and Valuation
In partnership with: Paradigm Publishing Services
Publication frequency: 4 issues per year

© 2025 Aleksandra Pilarczyk, Anna Kondak, Kornelia Grzelka, Grażyna Wiejak-Roy, Agnieszka Bieda, published by Real Estate Management and Valuation
This work is licensed under the Creative Commons Attribution 4.0 License.