TY  - JOUR
PY  - 2016//
TI  - Mapping bicycle crash risk patterns on the local scale
JO  - Safety (Basel)
A1  - Loidl, Martin
A1  - Wallentin, Gudrun
A1  - Wendel, Robin
A1  - Zagel, Bernhard
SP  - e17
EP  - e17
VL  - 2
IS  - 3
N2  - 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.     Keywords:  bicycle; crash; risk; geographical information systems (GIS); spatial analysis; scale; modifiable areal unit problem (MAUP)<p />  <p>Language: en</p>
LA  - en
SN  - 2313-576X
UR  - http://dx.doi.org/10.3390/safety2030017
ID  - ref1
ER  -