Safety Effects of Automated Mobile Photo Enforcement

  • Author / Creator
    Li, Ran
  • This thesis evaluated the safety effects of automated mobile enforcement at both the segment-based level and city-wide level over a period of eight years. For the segment-based evaluation, the before-and-after Empirical Bayes (EB) method was used to account for the regression-to-the-mean effect and other confounding factors. Locally developed safety performance functions and yearly calibration factors for different collision severities/types were developed by using a group of reference urban arterial roads. The results showed consistent reductions in different collision severities/types ranging from 14% to 20%, with the highest reductions observed for severe (i.e. injury and fatal) collisions. The comparison between continuous and discontinuous enforcement strategies on different arterials revealed that continuous enforcement was far more effective in reducing all collision severities and types. Moreover, the thesis also validated the spillover effects on nearby segments. For the city-wide evaluation, generalized linear regression models were adopted to investigate the relationship between the enforcement variables and the monthly number of collisions. It was found that both the deployment hours and the number of issued tickets had an inverse relationship with the collision frequency. The analysis results also suggested that 1,500 hours of deployment should be the threshold to guarantee significant impacts on collision reduction.

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  • Graduation date
  • Type of Item
  • Degree
    Master of Science
  • DOI
  • License
    This thesis is made available by the University of Alberta Libraries with permission of the copyright owner solely for non-commercial purposes. This thesis, or any portion thereof, may not otherwise be copied or reproduced without the written consent of the copyright owner, except to the extent permitted by Canadian copyright law.