Skip to main content
Intended for healthcare professionals
Restricted access
Research article
First published January 1999

Empirical Bayes Procedure for Ranking Sites for Safety Investigation by Potential for Safety Improvement

Abstract

The identification of sites requiring investigation for possible safety treatment is one of the most important aspects of infrastructure safety management and has been the subject of considerable research aimed at improving the efficiency of the process. The more recent techniques use the empirical Bayes (EB) method for estimating the safety of specific sites. A refinement of the EB method that is conceptually sound and inherently simple to apply is the focus of this research. With this refinement, the EB estimate of the safety of a site is compared with its expected safety to determine the potential for safety improvement, which forms the basis for ranking sites for safety investigation. A comparative evaluation is provided of the proposed method against other EB methods and the more conventional ones, with data for signalized intersections and two-lane rural highway sections. The refined EB method is shown to be comparatively efficient.

Get full access to this article

View all access and purchase options for this article.

References

1. Hauer E., and Persaud B. Problem of Identifying Hazardous Locations Using Accident Data. In Transportation Research Record 975, TRB, National Research Council, Washington, D.C., 1984, pp. 26–43.
2. Hauer E. Empirical Bayes Approach to the Estimation of “Unsafety”: The Multivariate Regression Method. Accident Analysis and Prevention, Vol. 24, No. 5, 1992, pp. 457–477.
3. Higle J. L., and Witkowski J. M. Bayesian Identification of Hazardous Locations. In Transportation Research Record 1185, TRB, National Research Council, Washington, D.C., 1988, pp. 24–36.
4. Hauer E. Identification of “Sites with Promise.” In Transportation Research Record 1542, TRB, National Research Council, Washington, D.C., 1996, pp. 54–60.
5. Persaud B. N., Cook W., and Kazakov A. Demonstration of New Approaches for Identifying Hazardous Locations and Prioritizing Safety Treatment In Proc., 7th International Conference: Traffic Safety on Two Continents, Lisbon, Portugal, September 22–24, 1997.
6. McGuigan D. R. D. The Use of Relationships Between Road Accidents and Traffic Flow in ‘Black-Spot’ Identification. Traffic Engineering and Control, Aug.-Sept. 1981, pp. 448–453.
7. Jorgensen N. O. Statistical Detection of Accident Blackspots. OTAPIARC 11th International Study Week in Transportation and Safety. Brussels, 1972.
8. Tarko A., Sinha K., and Farooq O. Methodology for Identifying Highway Safety Problem Areas. In Transportation Research Record 1542, TRB, National Research Council, Washington, D.C., 1996, pp. 49–53.
9. Persaud B. N. Estimating the Accident Potential of Ontario Road Sections. In Transportation Research Record 1327, TRB, National Research Council, Washington, D.C., 1991, pp. 47–54.
10. Baker R. J., and Nelder J. A. The GLIM System-Release 3. Rothamsted Experimental Station, Harpenden, U.K., 1978.

Cite article

Cite article

Cite article

OR

Download to reference manager

If you have citation software installed, you can download article citation data to the citation manager of your choice

Share options

Share

Share this article

Share with email
EMAIL ARTICLE LINK
Share on social media

Share access to this article

Sharing links are not relevant where the article is open access and not available if you do not have a subscription.

For more information view the Sage Journals article sharing page.

Information, rights and permissions

Information

Published In

Article first published: January 1999
Issue published: January 1999

Rights and permissions

© 1999 National Academy of Sciences.
Request permissions for this article.

Authors

Affiliations

Bhagwant Persaud
Department of Civil Engineering, Ryerson Polytechnic University, 350 Victoria Street, Toronto, Ontario M5B 2K3, Canada
Craig Lyon
Department of Civil Engineering, University of Toronto, Toronto, Ontario M5S 1A4, Canada
Thu Nguyen
Department of Civil Engineering, Ryerson Polytechnic University, 350 Victoria Street, Toronto, Ontario M5B 2K3, Canada

Metrics and citations

Metrics

Journals metrics

This article was published in Transportation Research Record: Journal of the Transportation Research Board.

VIEW ALL JOURNAL METRICS

Article usage*

Total views and downloads: 194

*Article usage tracking started in December 2016


Altmetric

See the impact this article is making through the number of times it’s been read, and the Altmetric Score.
Learn more about the Altmetric Scores



Articles citing this one

Receive email alerts when this article is cited

Web of Science: 0

Crossref: 128

  1. A New Approach for Identifying Safety Improvement Sites on Rural Highw...
    Go to citation Crossref Google Scholar
  2. Comparative Evaluation of Crash Hotspot Identification Methods: Empiri...
    Go to citation Crossref Google Scholar
  3. A systematic approach to macro-level safety assessment and contributin...
    Go to citation Crossref Google Scholar
  4. Traffic safety analysis and model updating for freeways using Bayesian...
    Go to citation Crossref Google Scholar
  5. Factors influencing fatal vehicle-involved crash consequence metrics a...
    Go to citation Crossref Google Scholar
  6. The use of crowdsourcing data for analyzing pedestrian safety in urban...
    Go to citation Crossref Google Scholar
  7. Method for Estimating the Monetary Benefit of Improving Annual Average...
    Go to citation Crossref Google Scholar
  8. An integrated solution to identify pedestrian-vehicle accident prone l...
    Go to citation Crossref Google Scholar
  9. Bivariate macro-level safety analysis of non-motorized vehicle crashes...
    Go to citation Crossref Google Scholar
  10. Benefit–Cost-Based Method to Determine When Safety Performance Functio...
    Go to citation Crossref Google Scholar
  11. Safe Route Mapping of Roadways Using Multiple Sourced Data
    Go to citation Crossref Google Scholar
  12. Empirical Bayes application on low-volume roads: Oregon case study
    Go to citation Crossref Google Scholar
  13. Screening Dangerous Intersections at City Level
    Go to citation Crossref Google Scholar
  14. Macrolevel Traffic Safety Longitudinal Comparison in Shanghai, China
    Go to citation Crossref Google Scholar
  15. Urban Road Accident Black Spot Identification and Classification Appro...
    Go to citation Crossref Google Scholar
  16. Vulnerable road users’ crash hotspot identification on multi-lane arte...
    Go to citation Crossref Google Scholar
  17. Copula-based joint modeling of crash count and conflict risk measures ...
    Go to citation Crossref Google Scholar
  18. Using vehicle data as a surrogate for highway accident data
    Go to citation Crossref Google Scholar
  19. Meso-level hotspot identification for suburban arterials
    Go to citation Crossref Google Scholar
  20. Multivariate Bayesian hierarchical Gaussian copula modeling of the non...
    Go to citation Crossref Google Scholar
  21. Modeling bicycle crash costs using big data: A grid-cell-based Tobit m...
    Go to citation Crossref Google Scholar
  22. Application of Random Effects Nonlinear Model for Analyzing Motorized ...
    Go to citation Crossref Google Scholar
  23. Generalized criteria for evaluating hotspot identification methods
    Go to citation Crossref Google Scholar
  24. Segmentation effect on developing safety performance functions for rur...
    Go to citation Crossref Google Scholar
  25. Accident risk analysis based on motorway exposure: an application of b...
    Go to citation Crossref Google Scholar
  26. Transferability of safety performance functions and hotspot identifica...
    Go to citation Crossref Google Scholar
  27. Recognizing the reasons of the accidents based on the rural drivers’ m...
    Go to citation Crossref Google Scholar
  28. Evaluation of hot spot identification methods for municipal roads
    Go to citation Crossref Google Scholar
  29. Hotspot identification considering daily variability of traffic flow a...
    Go to citation Crossref Google Scholar
  30. Investigating the relationship between driver's ticket frequency and d...
    Go to citation Crossref Google Scholar
  31. Trends of Crash Mitigations at High Crash Intersections in Nevada, US ...
    Go to citation Crossref Google Scholar
  32. Serious Conflicts: A Safety Performance Measure at Signalized Intersec...
    Go to citation Crossref Google Scholar
  33. IDENTIFICATION OF PEDESTRIAN BLACK SPOTS USING ARCGIS AND IMPROVEMENTS...
    Go to citation Crossref Google Scholar
  34. Influence of Multiple Freeway Design Features on Freight Traffic Safet...
    Go to citation Crossref Google Scholar
  35. Safety assessment of Czech motorways and national roads
    Go to citation Crossref Google Scholar
  36. School zone safety modeling in countermeasure evaluation and decision
    Go to citation Crossref Google Scholar
  37. Freeway single and multi-vehicle crash safety analysis: Influencing fa...
    Go to citation Crossref Google Scholar
  38. Modeling of time-dependent safety performance using anonymized and agg...
    Go to citation Crossref Google Scholar
  39. Identifying High Crash Risk Highway Segments Using Jerk-Cluster Analys...
    Go to citation Crossref Google Scholar
  40. Effects of globally obtained informative priors on bayesian safety per...
    Go to citation Crossref Google Scholar
  41. Comparative Analysis of Empirical Bayes and Bayesian Hierarchical Mode...
    Go to citation Crossref Google Scholar
  42. A comparative analysis of black spot identification methods and road a...
    Go to citation Crossref Google Scholar
  43. Development of an accident prediction model for Italian freeways
    Go to citation Crossref Google Scholar
  44. Optimization Model to Determine Critical Budgets for Managing Pavement...
    Go to citation Crossref Google Scholar
  45. Analysis of real-time crash risk for expressway ramps using traffic, g...
    Go to citation Crossref Google Scholar
  46. A Rear-End Collision Risk Evaluation and Control Scheme Using a Bayesi...
    Go to citation Crossref Google Scholar
  47. A Novel Framework for Sustainable Traffic Safety Programs Using the Pu...
    Go to citation Crossref Google Scholar
  48. Benchmarking regions using a heteroskedastic grouped random parameters...
    Go to citation Crossref Google Scholar
  49. Bayesian Poisson hierarchical models for crash data analysis: Investig...
    Go to citation Crossref Google Scholar
  50. Ranking cities for safety investigation by potential for safety improv...
    Go to citation Crossref Google Scholar
  51. An international review of challenges and opportunities in development...
    Go to citation Crossref Google Scholar
  52. Chapter 16. Detecting High-Risk Accident Locations
    Go to citation Crossref Google Scholar
  53. Identifying crash risk factors and high risk locations on an interstat...
    Go to citation Crossref Google Scholar
  54. Applying Machine Learning Algorithms to Highway Safety EEPDO
    Go to citation Crossref Google Scholar
  55. Evaluating Crash Risk in Urban Areas Based on Vehicle and Pedestrian M...
    Go to citation Crossref Google Scholar
  56. Identifying areas of high risk for collisions: A Canda-wide study of g...
    Go to citation Crossref Google Scholar
  57. Analysis of Traffic Crashes Involving Pedestrians Using Big Data: Inve...
    Go to citation Crossref Google Scholar
  58. Identifying safety factors associated with crash frequency and severit...
    Go to citation Crossref Google Scholar
  59. Introducing GIS as legitimate instrument to deal with road accident da...
    Go to citation Crossref Google Scholar
  60. Developing a Clustering-Based Empirical Bayes Analysis Method for Hots...
    Go to citation Crossref Google Scholar
  61. A review of methods for highway-railway crossings safety management pr...
    Go to citation Crossref Google Scholar
  62. Hotspot Identification for Shanghai Expressways Using the Quantitative...
    Go to citation Crossref Google Scholar
  63. An optimization model for improving highway safety
    Go to citation Crossref Google Scholar
  64. Development of safety performance functions for Spanish two-lane rural...
    Go to citation Crossref Google Scholar
  65. A novel dynamic segmentation model for identification and prioritizati...
    Go to citation Crossref Google Scholar
  66. Evaluation of safety effectiveness of multiple cross sectional feature...
    Go to citation Crossref Google Scholar
  67. Modeling spatial relationships between multimodal transportation infra...
    Go to citation Crossref Google Scholar
  68. Developing Updatable Crash Prediction Model for Network Screening: Cas...
    Go to citation Crossref Google Scholar
  69. Bayesian Latent Class Safety Performance Function for Identifying Moto...
    Go to citation Crossref Google Scholar
  70. A Feasibility Study for Developing a Transferable Accident Prediction ...
    Go to citation Crossref Google Scholar
  71. Comparison of Italian and Hungarian Black Spot Ranking
    Go to citation Crossref Google Scholar
  72. A Bayesian network model to predict accidents on Swiss ...
    Go to citation Crossref Google Scholar
  73. Exploring an Alternative Method of Hazardous Location Identification: ...
    Go to citation Crossref Google Scholar
  74. Multivariate Full Bayesian Hot Spot Identification and Ranking...
    Go to citation Crossref Google Scholar
  75. Engineering Solutions to Enhance Traffic Safety Performance on Two-Lan...
    Go to citation Crossref Google Scholar
  76. Application of the Empirical Bayes Method with the Finite Mixture Mode...
    Go to citation Crossref Google Scholar
  77. Prediction of road accidents: comparison of two Bayesian methods
    Go to citation Crossref Google Scholar
  78. Finite mixture modeling for vehicle crash data with application to hot...
    Go to citation Crossref Google Scholar
  79. A note on hotspot identification for urban expressways
    Go to citation Crossref Google Scholar
  80. Developing a Cluster-Based Algorithm for Collision Hotspot Identificat...
    Go to citation Crossref Google Scholar
  81. Applying quantile regression for modeling equivalent property damage o...
    Go to citation Crossref Google Scholar
  82. Comparative analysis of the spatial analysis methods for hotspot ident...
    Go to citation Crossref Google Scholar
  83. The Road Accident Analyzer: A Tool to Identify High-Risk Road Location...
    Go to citation Crossref Google Scholar
  84. Application of Poisson random effect models for highway network screen...
    Go to citation Crossref Google Scholar
  85. Estimating Spatially and Temporally Continuous Bicycle Volumes by Usin...
    Go to citation Crossref Google Scholar
  86. Comparison of Sichel and Negative Binomial Models in Hot Spot Identifi...
    Go to citation Crossref Google Scholar
  87. Case–control analysis in highway safety: Accounting for sites with mul...
    Go to citation Crossref Google Scholar
  88. Bayesian road safety analysis: Incorporation of past evidence and effe...
    Go to citation Crossref Google Scholar
  89. Computational Bayesian Statistics in Transportation Modeling: From Roa...
    Go to citation Crossref Google Scholar
  90. Clustering-Based Roadway Segment Division for the Identification of Hi...
    Go to citation Crossref Google Scholar
  91. A Nonparametric Approach to Road Safety Analysis - Does It Make a Diff...
    Go to citation Crossref Google Scholar
  92. Road Accident Prediction Model for the Roads of National Significance ...
    Go to citation Crossref Google Scholar
  93. Prediction of road accidents: A Bayesian hierarchical approach
    Go to citation Crossref Google Scholar
  94. Effectiveness of Bayesian Updating Attributes in Data Transferability ...
    Go to citation Crossref Google Scholar
  95. Evaluation of Pedestrian Safety...
    Go to citation Crossref Google Scholar
  96. Full versus Simple Safety Performance Functions...
    Go to citation Crossref Google Scholar
  97. Part 2. Beyond single-outcome models: Decompositions of aggregate and ...
    Go to citation Crossref Google Scholar
  98. Study on Road Traffic Safety Evaluation Based on Improved Bayes Model
    Go to citation Crossref Google Scholar
  99. Grade X—A Network Screening and Countermeasure Analysis Tool for Highw...
    Go to citation Crossref Google Scholar
  100. Fully Bayesian Approach to Investigate and Evaluate Ranking Criteria f...
    Go to citation Crossref Google Scholar
  101. Systematic Framework for Incorporating Safety in Network-Level Transpo...
    Go to citation Crossref Google Scholar
  102. Developing a model for prioritising high crash road segments
    Go to citation Crossref Google Scholar
  103. Investigation of key factors for accident severity at railroad grade c...
    Go to citation Crossref Google Scholar
  104. Revisiting Variability of Dispersion Parameter of Safety Performance f...
    Go to citation Crossref Google Scholar
  105. Comparison of empirical Bayes and full Bayes approaches for before–aft...
    Go to citation Crossref Google Scholar
  106. Road Traffic Safety Micro-Evaluation Based on Bayes Theory
    Go to citation Crossref Google Scholar
  107. How to Incorporate Accident Severity and Vehicle Occupancy into the Ho...
    Go to citation Crossref Google Scholar
  108. Spatial Autocorrelation and Bayesian Spatial Statistical Method for An...
    Go to citation Crossref Google Scholar
  109. Hotspot Identification: A Full Bayesian Hierarchical Modeling Approach
    Go to citation Crossref Google Scholar
  110. A survey of operational definitions of hazardous road locations in som...
    Go to citation Crossref Google Scholar
  111. Analysis of Road Crash Frequency with Spatial Models
    Go to citation Crossref Google Scholar
  112. Tool with Road-Level Crash Prediction for Transportation Safety Planni...
    Go to citation Crossref Google Scholar
  113. Comparative Analysis of Techniques for Identifying Locations of Hazard...
    Go to citation Crossref Google Scholar
  114. New Criteria for Evaluating Methods of Identifying Hot Spots
    Go to citation Crossref Google Scholar
  115. Bayesian multiple testing procedures for hotspot identification
    Go to citation Crossref Google Scholar
  116. A crash-prediction model for multilane roads
    Go to citation Crossref Google Scholar
  117. Comparison of Alternative Methods for Identifying Sites with High Prop...
    Go to citation Crossref Google Scholar
  118. A Comparative Study of Alternative Model Structures and Criteria for R...
    Go to citation Crossref Google Scholar
  119. Identifying Intersections with Potential for Red Light–Related Safety ...
    Go to citation Crossref Google Scholar
  120. Experimental evaluation of hotspot identification methods
    Go to citation Crossref Google Scholar
  121. Bayesian ranking of sites for engineering safety improvements: Decisio...
    Go to citation Crossref Google Scholar
  122. Alternative Risk Models for Ranking Locations for Safety Improvement
    Go to citation Crossref Google Scholar
  123. Screening the Road Network for Sites with Promise
    Go to citation Crossref Google Scholar
  124. Calibration and Transferability of Accident Prediction Models for Urba...
    Go to citation Crossref Google Scholar
  125. Pedestrian Collision Prediction Models for Urban Intersections
    Go to citation Crossref Google Scholar
  126. A simple method for identifying and correcting crash problems on urban...
    Go to citation Crossref Google Scholar
  127. Improving Moran’s Index to Identify Hot Spots in Traffic Safety
    Go to citation Crossref Google Scholar

Figures and tables

Figures & Media

Tables

View Options

Get access

Access options

If you have access to journal content via a personal subscription, university, library, employer or society, select from the options below:


Alternatively, view purchase options below:

Purchase 24 hour online access to view and download content.

Access journal content via a DeepDyve subscription or find out more about this option.

View options

PDF/ePub

View PDF/ePub