Details
| Original language | English |
|---|---|
| Title of host publication | The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences |
| Subtitle of host publication | XXIV ISPRS Congress, 2022 edition,Commission IV |
| Place of Publication | Nice, France |
| Publisher | Copernicus Gesellschaft mbH |
| Pages | 427–434 |
| Number of pages | 8 |
| Volume | XLIII-B4-2022 |
| Publication status | Published - 2 Jun 2022 |
Publication series
| Name | International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences - ISPRS Archives |
|---|---|
| Publisher | International Society for Photogrammetry and Remote Sensing |
| ISSN (Print) | 1682-1750 |
Abstract
Keywords
- Bike, Crash, Incident, MATSim, Routing, Safety, Simulation
ASJC Scopus subject areas
- Computer Science(all)
- Information Systems
- Social Sciences(all)
- Geography, Planning and Development
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The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences: XXIV ISPRS Congress, 2022 edition,Commission IV. Vol. XLIII-B4-2022 Nice, France: Copernicus Gesellschaft mbH, 2022. p. 427–434 (International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences - ISPRS Archives).
Research output: Chapter in book/report/conference proceeding › Conference contribution › Research › peer review
}
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 -