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Titel
Mapping Bicycle Crash Risk Patterns on the Local Scale
VerfasserLoidl, Martin ; Wallentin, Gudrun ; Wendel, Robin ; Zagel, Bernhard
Erschienen in
Safety, 2016, Jg. 2, H. 3, S. 1-17
ErschienenMDPI, 2016
SpracheEnglisch
DokumenttypAufsatz in einer Zeitschrift
Schlagwörter (EN)bicycle / crash / risk / GIS / spatial_analysis / scale / MAUP
URNurn:nbn:at:at-ubs:3-2155 Persistent Identifier (URN)
DOI10.3390/safety2030017 
Zugriffsbeschränkung
 Das Werk ist frei verfügbar
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Mapping Bicycle Crash Risk Patterns on the Local Scale [2.57 mb]
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Zusammenfassung (Englisch)

Currently, mainly aggregated statistics are used for bicycle crash risk calculations. Thus, the understanding of spatial patterns at local scale levels remains vague. Using an agent-based flow model and a bicycle crash database covering 10 continuous years of observation allows us to calculate and map the crash risk on various spatial scales for the city of Salzburg (Austria). In doing so, we directly account for the spatial heterogeneity of crash occurrences. Additionally, we provide a measure for the statistical robustness on the level of single reference units and consider modifiable areal unit problem (MAUP) effects in our analysis. This study is the first of its kind. The results facilitate a better understanding of spatial patterns of bicycle crash rates on the local scale. This is especially important for cities that strive to improve the safety situation for bicyclists in order to address prevailing safety concerns that keep people from using the bicycle as a utilitarian mode of (urban) transport.

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CC-BY-Lizenz (4.0)Creative Commons Namensnennung 4.0 International Lizenz