Before-after safety evaluation using full Bayesian macroscopic multivariate and spatial models

Transportation Research Record

Volumn 2601, Issue , 2016, Pages 128-137

  Islam, M Tazul ^a   El Basyouny, Karim ^c   Ibrahim, Shewkar E ^a,b   Sayed, Tarek ^b  

^a CITY OF EDMONTON   (Canada)

^b UNIVERSITY OF BRITISH COLUMBIA   (Canada)

^c UNIVERSITY OF ALBERTA   (Canada)

Author keywords

[No Author keywords available]

Indexed keywords

CODES (SYMBOLS); POISSON DISTRIBUTION;

BAYESIAN; COLLISION MODELING; CONDITIONAL AUTOREGRESSIVE; LOG-NORMAL; MULTIVARIATE MODELING; PARAMETERS ESTIMATES; SAFETY EVALUATIONS; SPATIAL CORRELATIONS; SPATIAL MODELLING; TRAFFIC COLLISIONS;

PARAMETER ESTIMATION;

EID: 85010868671     PISSN: 03611981     EISSN: 21694052     Source Type: Journal    
DOI: 10.3141/2601-15     Document Type: Article

References (35)

1. Highway Safety Manual. AASHTO, Washington, D.C., 2010.
2. Hauer, E. Observational Before/After Studies in Road Safety Estimating the Effect of Highway and Traffic Engineering Measures on Road Safety. Pergamon Press, Oxford, United Kingdom, 1997.
3. El-Basyouny, K., and T. Sayed. Full Bayes Approach to Before-and-After Safety Evaluation with Matched Comparisons: Case Study of Stop- Sign In-Fill Program. In Transportation Research Record: Journal of the Transportation Research Board, No. 2148, Transportation Research Board of the National Academies, Washington, D.C., 2010, pp. 1-8.
4. El-Basyouny, K., and T. Sayed. A Full Bayes Multivariate Intervention Model with Random Parameters Among Matched Pairs for Before-After Safety Evaluation. Accident Analysis and Prevention, Vol. 43, No. 1, 2011, pp. 87-94.
5. El-Basyouny, K., and T. Sayed. Measuring Safety Treatment Effects Using Full Bayes Non-Linear Safety Performance Intervention Functions. Accident Analysis and Prevention, Vol. 45, 2012, pp. 152-163.
6. El-Basyouny, K., and T. Sayed. Evaluating the Signal Head Upgrade Program in the City of Surrey. Accident Analysis and Prevention, Vol. 50, 2013, pp. 1236-1243.
7. Islam, M. T., and K. El-Basyouny. Full Bayesian Evaluation of the Safety Effects of Reducing the Posted Speed Limit in Urban Residential Area. Accident Analysis and Prevention, Vol. 80, 2015, pp. 18-25.
8. Lan, B., B. Persaud, C. Lyon, and R. Bhim. Validation of a Full Bayes Methodology for Observational Before-After Road Safety Studies and Application to Evaluation of Rural Signal Conversions. Accident Analysis and Prevention, Vol. 41, No. 3, 2009, pp. 574-580.
9. Lan, B., and B. Persaud. Evaluation of Multivariate Poisson Lognormal Bayesian Methods for Before-After Safety Evaluations. Journal of Safety and Security, Vol. 4, No. 3, 2012, pp. 193-210.
10. Lan, B., and R. Srinivasan. Safety Evaluation of Discontinuing Late Nighttime Flash Operations at Signalized Intersections. In Transportation Research Record: Journal of the Transportation Research Board, No. 2398, Transportation Research Board of the National Academies, Washington, D.C., 2013, pp. 1-9.
11. Li, W., A. Carriquiry, M. D. Pawlovich, and T. Welch. The Choice of Statistical Models in Road Safety Countermeasure Effectiveness Studies In Iowa. Accident Analysis and Prevention, Vol. 40, No. 4, 2008, pp. 1531-1542.
12. Park, E. S., J. Park, and T. J. Lomax. A Fully Bayesian Multivariate Approach to Before-After Safety Evaluation. Accident Analysis and Prevention, Vol. 42, No. 4, 2010, pp. 1118-1127.
13. Pawlovich, M. D., W. Li, A. Carriquiry, and T. Welch. Iowa's Experience with Road Diet Measures: Use of Bayesian Approach to Assess Impacts on Collision Frequencies and Collision Rates. In Transportation Research Record: Journal of the Transportation Research Board, No. 1953, Transportation Research Board of the National Academies, Washington, D.C., 2006, pp. 163-171.
14. Persaud, B., B. Lan, C. Lyon, and R. Bhim. Comparison of Empirical Bayes and Full Bayes Approaches for Before-After Road Safety Evaluations. Accident Analysis and Prevention, Vol. 42, No. 1, 2010, pp. 38-43.
15. Levine, N., K. E. Kim, and L. H. Nitz. Spatial Analysis of Honolulu Motor Vehicle Crashes (I): Spatial Patterns. Accident Analysis and Prevention, Vol. 27, No. 5, 1995, pp. 663-674.
16. Black, W. R., and I. Thomas. Accidents on Belgium's Motorways: A Network Autocorrelation Analysis. Journal of Transport Geography, Vol. 6, No. 1, 1998, pp. 23-31.
17. Nicholson, A. Analysis of Spatial Distributions of Accidents. Safety Science, Vol. 31, No. 1, 1999, pp. 71-91.
18. Miaou, S.-P., J. J. Song, and B. K. Mallick. Roadway Traffic Collision Mapping: A Space-Time Modeling Approach. Journal of Transportation and Statistics, Vol. 6, No. 1, 2003, pp. 33-57.
19. MacNab, Y. C. Bayesian Spatial and Ecological Models for Small-Area Accident and Injury Analysis. Accident Analysis and Prevention, Vol. 36, No. 6, 2004, pp. 1019-1028.
20. Aguero-Valverde, J., and P. Jovanis. Spatial Analysis of Fatal and Injury Crashes in Pennsylvania. Accident Analysis and Prevention, Vol. 38, No. 3, 2006, pp. 618-625.
21. Quddus, M. A. Modelling Area-Wide Count Outcomes with Spatial Correlation and Heterogeneity: An Analysis of London Collision Data. Accident Analysis and Prevention, Vol. 40, No. 4, 2008, pp. 1486-1497.
22. El-Basyouny, K., and T. Sayed. Urban Arterial Accident Prediction Models with Spatial Effects. In Transportation Research Record: Journal of the Transportation Research Board, No. 2102, Transportation Research Board of the National Academies, Washington, D.C., 2009, pp. 27-33.
23. Mitra, S. Spatial Autocorrelation and Bayesian Spatial Statistical Method for Analyzing Intersections Prone to Injury Crashes. In Transportation Research Record: Journal of the Transportation Research Board, No. 2136, Transportation Research Board of the National Academies, Washington, D.C., 2009, pp. 92-100.
24. Huang, H., M. A. Abdel-Aty, and A. L. Darwiche. County-Level Collision Risk Analysis in Florida: Bayesian Spatial Modeling. In Transportation Research Record: Journal of the Transportation Research Board, No. 2148, Transportation Research Board of the National Academies, Washington, D.C., 2010, pp. 27-37.
25. Ahmed, M., H. Huang, M. Abdel-Aty, and B. Guevara. Exploring a Bayesian Hierarchical Approach for Developing Safety Performance Functions for a Mountainous Freeway. Accident Analysis and Prevention, Vol. 43, No. 4, 2011, pp. 1581-1589.
26. El-Basyouny, K., and T. Sayed. Collision Prediction Models Using Multivariate Poisson-Lognormal Regression. Accident Analysis and Prevention, Vol. 41, No. 4, 2009, pp. 820-828.
27. Song, J., M. Ghosh, S. Miaou, and B. Mallick. Bayesian Multivariate Spatial Models for Roadway Traffic Collision Mapping. Journal of Multivariate Analysis, Vol. 97, No. 1, 2006, pp. 246-273.
28. Spiegelhalter, D., A. Thomas, N. Best, and D. Lunn. WinBUGS User Manual. MRC Biostatistics Unit, Cambridge, United Kingdom, 2005.
29. Aguero-Valverde, J. Multivariate Spatial Models of Excess Collision Frequency at Area Level: Case Of Costa Rica. Accident Analysis and Prevention, Vol. 59, 2013, pp. 365-373.
30. Wang, Y., and K. M. Kockelman. A Poisson-Lognormal Conditional-Autoregressive Model for Multivariate Spatial Analysis of Pedestrian Collision Counts Across Neighborhoods. Accident Analysis and Prevention, Vol. 60, 2013, pp. 71-84.
31. Narayanamoorthy, S., R. Paleti, and C. R. Bhat. On Accommodating Spatial Dependence in Bicycle and Pedestrian Injury Counts by Severity Level. Transportation Research Part B, Vol. 55, 2013, pp. 245-264.
32. Barua, S., K. El-Basyouny, and M. T. Islam A Full Bayesian Multivariate Count-Data Model of Collision Severity with Spatial Correlation. Analytic Methods in Accident Research, Vol. 3-4, 2014, pp. 28-43.
33. Islam, M. T., K. El-Basyouny, and S. E. Ibrahim. The Impact of Lowered Residential Speed Limits on Vehicle Speed Behavior. Safety Science, Vol. 62, 2014, pp. 483-494.
34. Lunn, D. J., A. Thomas, N. Best, and D. Spiegelhalter. WinBUGS: A Bayesian Modelling Framework: Concepts, Structure, and Extensibility. Statistics and Computing, Vol. 10, No. 4, 2000, pp. 325-337.
35. Brooks, S. P., and A. Gelman. Alternative Methods for Monitoring Convergence of Iterative Simulations. Journal of Computational and Graphical Statistics, Vol. 7, No. 4, 1998, pp. 434-455.