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

Author

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  • Tadej Brezina

    (Vienna University of Technology)

  • Anita Graser

    (TECHbase Vienna)

  • Ulrich Leth

    (Vienna University of Technology)

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.

Suggested Citation

  • Tadej Brezina & Anita Graser & Ulrich Leth, 2017. "Geometric methods for estimating representative sidewalk widths applied to Vienna’s streetscape surfaces database," Journal of Geographical Systems, Springer, vol. 19(2), pages 157-174, April.
  • Handle: RePEc:kap:jgeosy:v:19:y:2017:i:2:d:10.1007_s10109-017-0245-2
    DOI: 10.1007/s10109-017-0245-2
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    References listed on IDEAS

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    1. Frank, Lawrence Douglas & Saelens, Brian E. & Powell, Ken E. & Chapman, James E., 2007. "Stepping towards causation: Do built environments or neighborhood and travel preferences explain physical activity, driving, and obesity?," Social Science & Medicine, Elsevier, vol. 65(9), pages 1898-1914, November.
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    Cited by:

    1. Burak Beyhan & Cüneyt Güler & Hidayet Tağa, 2020. "An algorithm for maximum inscribed circle based on Voronoi diagrams and geometrical properties," Journal of Geographical Systems, Springer, vol. 22(3), pages 391-418, July.
    2. Zhou, Long & Shen, Guoqiang & Li, Chaosu & Chen, Tian & Li, Sihong & Brown, Robert, 2021. "Impacts of land covers on stormwater runoff and urban development: A land use and parcel based regression approach," Land Use Policy, Elsevier, vol. 103(C).
    3. Mariusz Jedliński & Katarzyna Sosik-Filipiak, 2022. "The Role of Crosswalks in the Smart City Concept Implementation from the “iGen” Perspective," Energies, MDPI, vol. 15(15), pages 1-16, August.

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    More about this item

    Keywords

    Streetscape; Urban surface database; Sidewalk width; Inscribed circle; Circumscribed circle;
    All these keywords.

    JEL classification:

    • R14 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General Regional Economics - - - Land Use Patterns
    • R41 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Transportation Economics - - - Transportation: Demand, Supply, and Congestion; Travel Time; Safety and Accidents; Transportation Noise
    • R52 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Regional Government Analysis - - - Land Use and Other Regulations

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