TY - JOUR
T1 - Application of a network safety management tool in urban areas
T2 - Zurich, Switzerland, case study
AU - Rothenfluh, Marco
AU - Menendez, Monica
N1 - Funding Information:
The authors thank all the people involved in the process of applying NSM in the city of Zurich as a pilot site. Specifically, the authors are very grateful to Anja Simma and Gerhard Schuwerk of the Federal Roads Office in Switzerland, Hagen Schüller of the PTV Group, Wernher Brucks of the City of Zurich, and Qiao Ge of the Institute for Transport Planning and Systems at ETH Zurich for providing both data and specific support throughout the project.
Publisher Copyright:
© 2016, National Research Council. All rights reserved.
PY - 2016
Y1 - 2016
N2 - Because of the economic and social cost of traffic accidents, it is essential for road administrators to evaluate where infrastructure investments are necessary to improve the system. Network safety management (NSM) is an analysis tool typically used on freeways and other interurban roads to identify the locations with the highest potential for infrastructure improvements from a safety perspective. A study was done on how this tool could also be used to identify such locations within an urban environment. The area of study was the city of Zurich, Switzerland, and the accident data were for the period 2009 to 2013. The aim was to investigate the application of NSM in urban environments, illustrate it with a real case study, evaluate the results obtained, and test robustness of the results for different input parameters. To do this, georeferenced data were required to have explicit distinctions between the three road network elements used: primary road segments, inter sections, and residential zones. On the basis of different accident cost rates, a prioritization of the individual network elements was made. Results show that mostly network elements with numerous conflict points have the highest safety potential. Further tests reveal that traffic volume is the most influential parameter within the model. Additionally, more differentiated cost rates are presented, and a comparison with the road safety tool Black Spot Management is employed to verify the detected accident clusters. The findings are used to make pragmatic recommendations on the use of NSM in an urban context.
AB - Because of the economic and social cost of traffic accidents, it is essential for road administrators to evaluate where infrastructure investments are necessary to improve the system. Network safety management (NSM) is an analysis tool typically used on freeways and other interurban roads to identify the locations with the highest potential for infrastructure improvements from a safety perspective. A study was done on how this tool could also be used to identify such locations within an urban environment. The area of study was the city of Zurich, Switzerland, and the accident data were for the period 2009 to 2013. The aim was to investigate the application of NSM in urban environments, illustrate it with a real case study, evaluate the results obtained, and test robustness of the results for different input parameters. To do this, georeferenced data were required to have explicit distinctions between the three road network elements used: primary road segments, inter sections, and residential zones. On the basis of different accident cost rates, a prioritization of the individual network elements was made. Results show that mostly network elements with numerous conflict points have the highest safety potential. Further tests reveal that traffic volume is the most influential parameter within the model. Additionally, more differentiated cost rates are presented, and a comparison with the road safety tool Black Spot Management is employed to verify the detected accident clusters. The findings are used to make pragmatic recommendations on the use of NSM in an urban context.
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U2 - 10.3141/2582-05
DO - 10.3141/2582-05
M3 - Article
AN - SCOPUS:85012096168
SN - 0361-1981
VL - 2582
SP - 34
EP - 41
JO - Transportation Research Record
JF - Transportation Research Record
ER -