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Spatial patterns and temporal dynamics of urban bicycle crashes—A case study from Salzburg (Austria)

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  • Loidl, Martin
  • Traun, Christoph
  • Wallentin, Gudrun

Abstract

Most bicycle crash analyses are designed as explanatory studies. They aim to identify contributing risk factors and calculate risk rates based on – most of the time – highly aggregated statistical data. In contrast to such explanatory study designs, the presented study follows an exploratory approach, focusing on the absolute number of crashes. The aim is to reveal and describe patterns and dynamics of urban bicycle crashes on various spatial scale levels and temporal resolutions through a multi-stage workflow. Spatial units are delineated in the network space and serve as initial units of aggregation. In order to facilitate comparisons among regions and quantify temporal dynamics, a reference value of crash frequency is simulated for each unit of the respective spatial scale level and temporal resolution.

Suggested Citation

  • Loidl, Martin & Traun, Christoph & Wallentin, Gudrun, 2016. "Spatial patterns and temporal dynamics of urban bicycle crashes—A case study from Salzburg (Austria)," Journal of Transport Geography, Elsevier, vol. 52(C), pages 38-50.
    • Handle: RePEc:eee:jotrge:v:52:y:2016:i:c:p:38-50
    DOI: 10.1016/j.jtrangeo.2016.02.008
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    Cited by:

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    3. Wang, Hwachyi & De Backer, Hans & Lauwers, Dirk & Chang, S.K.Jason, 2019. "A spatio-temporal mapping to assess bicycle collision risks on high-risk areas (Bridges) - A case study from Taipei (Taiwan)," Journal of Transport Geography, Elsevier, vol. 75(C), pages 94-109.
    4. Rafael Hologa & Nils Riach, 2020. "Approaching Bike Hazards via Crowdsourcing of Volunteered Geographic Information," Sustainability, MDPI, vol. 12(17), pages 1-14, August.
    5. Blazquez, Carola A. & Calderón, Juan Felipe & Puelma, Isabel, 2020. "Towards a safe and sustainable mobility: Spatial-temporal analysis of bicycle crashes in Chile," Journal of Transport Geography, Elsevier, vol. 87(C).

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