
Existing studies indicate that a direct view of aquatic elements benefits well-being, and houses with blue views are often associated with higher prices. Therefore, developing analysis and design methods for visibility research of blue spaces are crucial to advance spatial design practice. Especially digital methods for analysing blue visibility and their potential in design still need to be identified and explored. This study explores the application potential of some powerful digital visibility analysis methods for blue space design. Specifically, this research first provides an overview of potential methods for analysing the visibility of water. Next, two practical design-oriented digital methods are briefly elaborated and illustrated by cases in Rotterdam (the Netherlands). Meanwhile, the study explores how the analysis results support spatial design practice. Last, the study discusses the potential of integrating blue visibility analysis methods into the iterative design process and makes prospects for future research.
Autor / Author: | Zhang, Haoxiang; Nijhuis, Steffen; Newton, Caroline |
Institution / Institution: | Delft University of Technology, Delft/The Netherlands; Delft University of Technology, Delft/The Netherlands; Delft University of Technology, Delft/The Netherlands |
Seitenzahl / Pages: | 11 |
Sprache / Language: | Englisch |
Veröffentlichung / Publication: | JoDLA – Journal of Digital Landscape Architecture, 8-2023 |
Tagung / Conference: | Digital Landscape Architecture 2023 – Future Resilient Landscapes |
Veranstaltungsort, -datum / Venue, Date: | Dessau Campus of Anhalt University, Germany 24-05-23 - 27-05-23 |
Schlüsselwörter (de): | |
Keywords (en): | Digital visibility analysis methods, Isovist analysis, segmentation analysis, landscape design, evidence-based design approach |
Paper review type: | Full Paper Review |
DOI: | doi:10.14627/537740066 |
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