Development of safety performance functions and a GIS based spatial analysis of collision data for the City of Saskatoon
type: CreativeWork
description: The American Association of State Highway and Transportation Officials (AASHTO) produced the first edition of the Highway Safety Manual (HSM) in 2010. The HSM introduces a six-step safety management process which provides engineers with a systematic and scientific approach to identifying and managing safety concerns on a road network. Each step plays a vital role in improving the safety of target road networks, and the first step, network screening, is the step where the safety issues are first identified. This is accomplished through the use of a series of Safety Performance Functions (SPFs). SPFs are mathematical equations that relate the collision frequency at a particular location with traffic volume and roadway characteristics. The purpose of this research is to develop a series of locally derived SPFs for the City of Saskatoon to allow engineers to estimate the expected number of collisions for the purpose of evaluating new roadway design alternatives and screening the existing roadway network in terms of safety. By developing locally derived SPFs, it may be possible to obtain a better prediction of the expected number of collisions than from using the base model SPFs provided in the HSM. The development of SPFs required three separate databases containing roadway characteristics, traffic volume, and collision records to be integrated into a single database. Using the statistical program R-Language, SPFs were developed and validated for the City of Saskatoon. The developed SPFs were used to conduct a network screening of Saskatoon’s roadways and intersections to identify locations with safety concerns. The results from the network screening were incorporated into ArcGIS to allow for a visual analysis of the spatial collision patterns. Finally, the locally derived SPFs were compared with the HSM base model SPFs to determine if other jurisdictions would benefit from developing their own locally derived SPFs for urban areas.
abstract: The American Association of State Highway and Transportation Officials (AASHTO) produced the first edition of the Highway Safety Manual (HSM) in 2010. The HSM introduces a six-step safety management process which provides engineers with a systematic and scientific approach to identifying and managing safety concerns on a road network. Each step plays a vital role in improving the safety of target road networks, and the first step, network screening, is the step where the safety issues are first identified. This is accomplished through the use of a series of Safety Performance Functions (SPFs). SPFs are mathematical equations that relate the collision frequency at a particular location with traffic volume and roadway characteristics. The purpose of this research is to develop a series of locally derived SPFs for the City of Saskatoon to allow engineers to estimate the expected number of collisions for the purpose of evaluating new roadway design alternatives and screening the existing roadway network in terms of safety. By developing locally derived SPFs, it may be possible to obtain a better prediction of the expected number of collisions than from using the base model SPFs provided in the HSM. The development of SPFs required three separate databases containing roadway characteristics, traffic volume, and collision records to be integrated into a single database. Using the statistical program R-Language, SPFs were developed and validated for the City of Saskatoon. The developed SPFs were used to conduct a network screening of Saskatoon’s roadways and intersections to identify locations with safety concerns. The results from the network screening were incorporated into ArcGIS to allow for a visual analysis of the spatial collision patterns. Finally, the locally derived SPFs were compared with the HSM base model SPFs to determine if other jurisdictions would benefit from developing their own locally derived SPFs for urban areas.
author: Parisien, Jordan
language: eng
keywords: Safety Performance Functions, Network Screening, GIS, empirical Bayes
date published: 2012-09-17
date modified: 2026-07-24T04:27:06Z
provider: University of Saskatchewan
publisher: Networked Digital Library of Theses and Dissertations
type: WebPage
source organization: University of Saskatchewan

PropertyValue
property ID: Handle
value: https://hdl.handle.net/10388/ETD-2012-06-567