Study Details
Study Title: Assessing Critical Factors Associated with Bicycle Collisions at Urban Signalized Intersections
Authors: Oh et al.
Publication Date:JAN, 2008
Abstract: Understanding which factors strongly influence bicycle collisions at urban signalized intersections is an important process in improving the safety of bicyclists and in guiding the safe design of urban signalized intersections. This study recognizes this and has accordingly developed prediction models, using numerous potential variables, concerning bicycle crash occurrences at signalized intersections by conducting field surveys at 151 intersections at the Incheon Metropolitan Area in Korea. This study made a careful application and assessment of relevant statistical models for bicycle-related crashes. Consequently, it was revealed that the Poisson regression model would be suitable for estimating the probability of bicycle crashes at intersections. Based on the analysis of the parameters estimated in both primary and alternative models, significant explanatory factors (and their direction of association) were selected as follows: average daily traffic volume (+), presence of bus stops (-), sidewalk widths (-), number of driveways (+), presence of speed restrict devices (-), presence of crosswalks (+), and industrial land use (+). With respect to the suggestions made for future bicycle safety research, there is a need to include additional factors of the characteristics of the driver, geometric road design, and operational features for data in the analysis. Educational approaches or improvement of roadway designs should also be performed in order to encourage people to use bicycles as an alternative and safe mode of travel. Furthermore, the authors of this study believe that the levels of safety of bicycle travel at existing or future intersections may be estimated through the use of bicycle crash prediction models. Finally, the study suggests that efficient countermeasures may be implemented in order to decrease crash rates and reduce socio-economic loss.
Study Citation: J., J. Jun, E. Kim, and M. Kim "Assessing Critical Factors Associated with Bicycle Collisions at Urban Signalized Intersections." TRB 87th Annual Meeting Compendium of Papers CD-ROM. Washington, D.C., (2008).
CMFs Associated With This Study
Category: Access management
Countermeasure: Change number of driveways near signalized intersection from X to Y (bike crashes)
| CMF | CRF(%) | Quality | Crash Type | Crash Severity | Roadway Type | Area Type |
|---|---|---|---|---|---|---|
 | |  | Vehicle/bicycle | All | Not Specified |
Category:Advanced technology and ITS
Countermeasure: Presence of speed restriction devices (bike crashes)
| CMF | CRF(%) | Quality | Crash Type | Crash Severity | Roadway Type | Area Type |
|---|---|---|---|---|---|---|
| 0.28 | 71.92 | | Vehicle/bicycle | All | Not Specified |
Category:Bicyclists
Countermeasure: Change sidewalk width from X to Y meters (bike crashes)
| CMF | CRF(%) | Quality | Crash Type | Crash Severity | Roadway Type | Area Type |
|---|---|---|---|---|---|---|
| | | Vehicle/bicycle | All | Not Specified |
Countermeasure: Presence of crosswalk at signalized intersection (bike crashes)
| CMF | CRF(%) | Quality | Crash Type | Crash Severity | Roadway Type | Area Type |
|---|---|---|---|---|---|---|
| 8.76 | -775.83 | text text | Vehicle/bicycle | All | Not Specified |
Category:Transit
Countermeasure: Presence of bus stops (bike crashes)
| CMF | CRF(%) | Quality | Crash Type | Crash Severity | Roadway Type | Area Type |
|---|---|---|---|---|---|---|
| 0.18 | 81.91 | | Vehicle/bicycle | All | Not Specified |
