Geometric methods for estimating representative sidewalk widths applied to Vienna’s streetscape surfaces database

Tadej Brezina (), Anita Graser and Ulrich Leth
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Tadej Brezina: Vienna University of Technology
Anita Graser: TECHbase Vienna
Ulrich Leth: Vienna University of Technology

Journal of Geographical Systems, 2017, vol. 19, issue 2, No 3, 157-174

Abstract: Abstract Space, and in particular public space for movement and leisure, is a valuable and scarce resource, especially in today’s growing urban centres. The distribution and absolute amount of urban space—especially the provision of sufficient pedestrian areas, such as sidewalks—is considered crucial for shaping living and mobility options as well as transport choices. Ubiquitous urban data collection and today’s 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 Moran’s 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.

Keywords: Streetscape; Urban surface database; Sidewalk width; Inscribed circle; Circumscribed circle (search for similar items in EconPapers)
JEL-codes: R14 R41 R52 (search for similar items in EconPapers)
Date: 2017
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Citations: View citations in EconPapers (3)

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DOI: 10.1007/s10109-017-0245-2

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