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Geometric methods for estimating representative sidewalk widths applied to Viennas streetscape surfaces database
AuthorBrezina, Tadej ; Graser, Anita ; Leth, Ulrich
Published in
Journal of Geographical Systems, 2017, Vol. 19, Issue 2, page 157-174
PublishedSpringer Nature, 2017
Document typeJournal Article
Keywords (EN)Streetscape / Urban surface database / Sidewalk width / Inscribed circle / Circumscribed circle
URNurn:nbn:at:at-ubtuw:3-4053 Persistent Identifier (URN)
 The work is publicly available
Geometric methods for estimating representative sidewalk widths applied to Viennas streetscape surfaces database [1.95 mb]
Abstract (English)

Space, and in particular public space for movement and leisure, is a valuable and scarce resource, especially in todays growing urban centres. The distribution and absolute amount of urban spaceespecially the provision of sufficient pedestrian areas, such as sidewalksis considered crucial for shaping living and mobility options as well as transport choices. Ubiquitous urban data collection and todays IT capabilities offer new possibilities for providing a relation-preserving overview and for keeping track of infrastructure changes. This paper presents three novel methods for estimating representative sidewalk widths and applies them to the official Viennese streetscape surface database. The first two methods use individual pedestrian area polygons and their geometrical representations of minimum circumscribing and maximum inscribing circles to derive a representative width of these individual surfaces. The third method utilizes aggregated pedestrian areas within the buffered street axis and results in a representative width for the corresponding road axis segment. Results are displayed as city-wide means in a 500 by 500 m grid and spatial autocorrelation based on Morans I is studied. We also compare the results between methods as well as to previous research, existing databases and guideline requirements on sidewalk widths. Finally, we discuss possible applications of these methods for monitoring and regression analysis and suggest future methodological improvements for increased accuracy.

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