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Methods for Quality Assessment of Window View

Author

Listed:
  • Barbara Szybinska Matusiak

    (Faculty of Architecture, Norwegian University of Science and Technology, 7034 Trondheim, Norway)

  • Filomena Russo

    (Department of Architecture, University of Cambridge, Cambridge CB2 1PX, UK)

  • Mandana Sarey Khanie

    (Institute for Environmental Design and Engineering (IEDE), The Bartlett, Faculty of the Built Environment, University College London, London WC1H 0NN, UK)

  • Natalia Sokol

    (Faculty of Architecture, Gdansk University of Technology, 80-233 Gdansk, Poland)

  • Christina Hemauer

    (Independent Researcher, 8004 Zurich, Switzerland
    Visual Artist.)

  • Klaus Martiny

    (Department of Clinical Medicine, University of Copenhagen, 2200 Copenhagen, Denmark)

  • Carlo Volf

    (Regional Hospital, 2100 Copenhagen, Denmark)

  • Siegrun Appelt

    (Independent Researcher, 1070 Vienna, Austria
    Visual Artist.)

  • Natalia Giraldo Vasquez

    (International Centre for Indoor Environment and Energy, Department of Environmental and Resource Engineering, Technical University of Denmark, 2800 Kongens Lyngby, Denmark)

  • Aicha Diakite-Kortlever

    (Faculty of Electrical Engineering and Computer Science, Technical University of Berlin, 10623 Berlin, Germany)

Abstract

This paper summarises findings from two workshops evaluating a series of views in various settings by an interdisciplinary group of experts. In the first one (Trondheim, June 2022), ten experts visited and assessed views from nine rooms. In the second one (Lausanne, June 2023), eleven experts assessed window views from four spaces. The workshops’ main objective was to develop and test multi-method assessments of window views. During both workshops, participants completed a survey that included close and open-ended questions about the perceived quality of the room and the view. Participants also measured lux level, took photographs, made hand drawings of the view, and answered a questionnaire about their mood and the environmental conditions in the room. After the workshop, point-in-time daylight simulations were performed for the visited rooms. The paper describes, compares, and recommends the use of the aforementioned methods depending on the type and complexity of the view, and the space, the evaluators’ professional background, and the type of collected data. It also discusses the overlap of the methods and estimates the preparation time, time spent on site, and the amount of work after the visit. Finally, it recommends the use of the tested methods depending on the application.

Suggested Citation

  • Barbara Szybinska Matusiak & Filomena Russo & Mandana Sarey Khanie & Natalia Sokol & Christina Hemauer & Klaus Martiny & Carlo Volf & Siegrun Appelt & Natalia Giraldo Vasquez & Aicha Diakite-Kortlever, 2024. "Methods for Quality Assessment of Window View," Land, MDPI, vol. 13(12), pages 1-34, December.
  • Handle: RePEc:gam:jlands:v:13:y:2024:i:12:p:2090-:d:1536631
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    References listed on IDEAS

    as
    1. Bates, Douglas & Mächler, Martin & Bolker, Ben & Walker, Steve, 2015. "Fitting Linear Mixed-Effects Models Using lme4," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 67(i01).
    2. Mohamed Boubekri & Jaewook Lee & Piers MacNaughton & May Woo & Lauren Schuyler & Brandon Tinianov & Usha Satish, 2020. "The Impact of Optimized Daylight and Views on the Sleep Duration and Cognitive Performance of Office Workers," IJERPH, MDPI, vol. 17(9), pages 1-16, May.
    Full references (including those not matched with items on IDEAS)

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