TY - GEN

T1 - Risk Analysis of Cycling Accidents Using a Traffic Demand Model

AU - Wage, Oskar

AU - Bienzeisler, Lasse

AU - Sester, Monika

N1 - Funding Information: This work is partially funded by the BMBF Germany projects USEfUL and USEfUL XT (grant IDs 03SF0547 and 03SF0609), as well as by the DFG GRK 1931 SocialCars. The authors cordially thank the funding agencies and the reviewers for their feedback.

PY - 2022/6/2

Y1 - 2022/6/2

N2 - In Germany, accidents are collected nationwide, including also bicycle accidents. To determine accident-prone locations, it is necessary to not only look at the number of accidents but also in relation to the absolute number of cyclists traversing that location. Thus, this study exploits a collection of bicycle accidents in combination with estimated cyclist volumes on street level in Hanover (Germany). The basis for the generated bicycle volumes is the resulting origin-destination demand for bicycle mode from an agent-based traffic simulation model. A normalization of the accidents by an absolute bicycle volume allows to estimate a risk score and to compare high frequented ways with less popular minor paths in an objective manner. This method is used to show locations with comparatively high risk for cyclists. Besides highlighting these spots on a map, e.g. for city planners, the resulting risk scores can be integrated into bicycle routing to avoid those areas for future trips.

AB - In Germany, accidents are collected nationwide, including also bicycle accidents. To determine accident-prone locations, it is necessary to not only look at the number of accidents but also in relation to the absolute number of cyclists traversing that location. Thus, this study exploits a collection of bicycle accidents in combination with estimated cyclist volumes on street level in Hanover (Germany). The basis for the generated bicycle volumes is the resulting origin-destination demand for bicycle mode from an agent-based traffic simulation model. A normalization of the accidents by an absolute bicycle volume allows to estimate a risk score and to compare high frequented ways with less popular minor paths in an objective manner. This method is used to show locations with comparatively high risk for cyclists. Besides highlighting these spots on a map, e.g. for city planners, the resulting risk scores can be integrated into bicycle routing to avoid those areas for future trips.

KW - Bike

KW - Crash

KW - Incident

KW - MATSim

KW - Routing

KW - Safety

KW - Simulation

UR - http://www.scopus.com/inward/record.url?scp=85132187073&partnerID=8YFLogxK

U2 - 10.5194/isprs-archives-XLIII-B4-2022-427-2022

DO - 10.5194/isprs-archives-XLIII-B4-2022-427-2022

M3 - Conference contribution

VL - XLIII-B4-2022

T3 - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences - ISPRS Archives

SP - 427

EP - 434

BT - The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences

PB - Copernicus Gesellschaft mbH

CY - Nice, France

ER -