Devil in the details – Visual perception of the landscape features by potential residential buyers
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1
Quasar Inc S.A., Poland
2
AGH University of Krakow, Faculty of Management, Poland
3
AGH University of Krakow, Faculty of Geo-Data Science, Geodesy, and Environmental Engineering, Poland
4
University of the West of England, United Kingdom
Submission date: 2024-09-09
Final revision date: 2024-11-09
Acceptance date: 2025-01-16
HIGHLIGHTS
- respondents value natural views and show an aversion to industrial ones
- observing a window view, we notice the disfiguring details
- over the years we have become accustomed to infrastructure objects in the landscape
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ABSTRACT
It has long been established that people attach value to window views. However, the challenge in real estate market analyses is to capture what landscape features an attractive view contains and thus how they affect the worth (individual valuation) of the real estate. Real estate research predominantly uses questionnaires to analyze the perception of the landscape. This research assesses the possibilities of using eye-tracking as an objective tool for the assessment of the visual perception of the landscape. The research aim was achieved by comparing the results of subjective surveys with a qualitative analysis of the records of gaze patterns of participants observing on-screen photos of window views. All analyses concerned the urban landscape. Surveys show that natural areas are the most attractive for potential residential buyers, while the most undesirable are industrial window views. Participants of the eye-tracking study focused their attention on details such as distinctive buildings, construction machinery, road signs and traffic lights, advertisements, graffiti, murals, street lamps and electrical boxes. These undesirable details can obscure the entirety of even the most aesthetically pleasing landscape. Thus, the results of this study are expected to inform those involved in urban design to minimize the impact of such obstructions.
FUNDING
Research project partly supported by program „Excellence initiative – research university” for the AGH University of Krakow (action 4, application number: 6325) and partly by subvention of AGH University of Krakow No. 16.16.150.545.