Across the globe there is an increasing injury problem caused by traffic collision frequencies.This is being largely caused by a growing gap between transportation demand and networkcapacity due to limited available resources. As such, it is increasingly important for roadauthorities to have tools to aid them in efficiently allocating available road safety resources. Onesuch tool is the use of a black spot program to identify, analyze, and remedy hazardouslocations. Micro-level collision prediction models (CPMs) have traditionally been used but ofteninvolve numerous case studies and extensive time. As an alternative, it has been suggested thatmacro-level CPMs be used in region-wide black spot programs as a pro-active approach to roadsafety improvement programs (RSIPs). However, as shown by Lovegrove and Sayed, asignificant collision database is required to generate the necessary models. As a result,Khondaker proposed that models be transferred from one municipality to regions that do nothave sufficient data. This study investigates the effectiveness of applying transferred models toa black spot program for the City of Kelowna (COK). The results suggest that transferred macrolevelCPMs can be effectively used in road safety analysis to complement traditional RSIPs.Several Collision Prone Zones (CPZs) were identified and ranked for diagnosis and four werecarried forward through a full case study.
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