Road network safety evaluation using Bayesian hierarchical joint model

Accident Analysis and Prevention

Volumn 90, Issue , 2016, Pages 152-158

  Wang, Jie ^a   Huang, Helai ^a  

^a CENTRAL SOUTH UNIVERSITY   (China)

Author keywords

Bayesian hierarchical joint model; Macro level variables; Micro level variables; Road network crash prediction; Safety evaluation

Indexed keywords

BINS; EFFICIENCY; MOTOR TRANSPORTATION; RANDOM PROCESSES; ROADS AND STREETS; SAFETY ENGINEERING; TRAFFIC CONTROL; TRANSPORTATION;

HIERARCHICAL DATA STRUCTURE; JOINT MODELING; MICRO LEVEL; NEGATIVE BINOMIAL MODELS; PERFORMANCE INDICATORS; ROAD NETWORK; SAFETY AND EFFICIENCIES; SAFETY EVALUATIONS;

HIGHWAY PLANNING;

BAYES THEOREM; ENVIRONMENTAL PLANNING; HUMAN; PREVENTION AND CONTROL; SAFETY; STATISTICAL MODEL; STATISTICS AND NUMERICAL DATA; THEORETICAL MODEL; TRAFFIC ACCIDENT;

ACCIDENTS, TRAFFIC; BAYES THEOREM; ENVIRONMENT DESIGN; HUMANS; MODELS, STATISTICAL; MODELS, THEORETICAL; SAFETY;

EID: 84959349996     PISSN: 00014575     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.aap.2016.02.018     Document Type: Article

References (49)

1. M. Abdel-Aty, and X. Wang Crash estimation at signalized intersections along corridors: analyzing spatial effect and identifying significant factors Transp. Res. Rec. J. Transp. Res. Board 1953 2006 98 111
2. M. Abdel-Aty, C. Siddiqui, H. Huang, and X. Wang Integrating trip and roadway characteristics to manage safety in traffic analysis zones Transp. Res. Rec. J. Transp. Res. Board 2213 2011 20 28
3. J. Aguero-Valverde, and P. Jovanis Spatial correlation in multilevel crash frequency models: effects of different neighboring structures Transp. Res. Rec. J. Transp. Res. Board 2165 2010 21 32
4. M. Ahmed, H. Huang, M. Abdel-Aty, and B. Guevara Exploring a Bayesian hierarchical approach for developing safety performance functions for a mountainous freeway Accid. Anal. Prev. 43 2011 1581 1589
5. P. Anastasopoulos, and F. Mannering A note on modeling vehicle accident frequencies with random-parameters count models Accid. Anal. Prev. 41 2009 153 159
6. J. Besag, J. York, and E. Molli Bayesian image restoration with two applications in spatial statistics Annu. Inst. Stat. Mathematics 43 1991 1 20
7. E. Cascetta Transportation Systems Analysis: Models and Applications 2009 Springer Science and Business Media New York
8. C. Dong, D. Clarke, X. Yan, and B. Huang Multivariate random-parameters zero-inflated negative binomial regression model: an application to estimate crash frequencies at intersections Accid. Anal. Prev. 70 2014 320 329
9. N. Dong, H. Huang, P. Xu, Z. Ding, and D. Wang Evaluating spatial-proximity structures in crash prediction models at the level of traffic analysis zones Transp. Res. Rec.: J. Transp. Res. Board 2432 2014 46 52
10. N. Dong, H. Huang, and L. Zheng Support vector machine in crash prediction at the level of traffic analysis zones: assessing the spatial proximity effects Accid. Anal. Prev. 82 2015 192 198
11. FHWA, SAFETEA-LU: Safe, Accountable, Flexible Efficient Transportation Equity Act: A Legacy for Users 2005 http://www.fhwa.dot.gov/safetealu
12. A. Gelman, J.B. Carlin, and H. Stern Bayesian Data Analysis 2nd ed. 2003 Chapman & Hall New York
13. A. Gelman, and J. Hill Data Analysis Using Regression and Multilevel/Hierarchical Models 2007 Cambridge University Press Cambridge
14. F. Guo, X. Wang, and M. Abdel-Aty Modeling signalized intersection safety with corridor-level spatial correlations Accid. Anal. Prev. 42 2010 84 92
15. A. Hadayeghi, A. Shalaby, and B. Persaud Safety prediction models: proactive tool for safety evaluation in urban transportation planning applications Transp. Res. Rec.: J. Transp. Res. Board 2019 2007 225 236
16. R. Haynes, A. Jones, V. Kennedy, I. Harvey, and T. Jewell District variations in road curvature in England and Wales and their association with road-traffic crashes Environ. Plan. A 39 2007 1222 1237
17. Highway Safety Manual, 2010. American Association of State Highway and Transportation Officials (AASHTO), Washington, DC.
18. R. Houston The transportation equity act for the 21st century Inst. Transp. Eng. 1998 http://search.proquest.com/docview/224884301
19. B. Huang, L. Lu, Y. Zhang, and J. Lu, A new access density definition and its correlation with crash rates by microscopic traffic simulation method Accid. Anal. Prev. 64 2014 111 122
20. H. Huang, H.C. Chin, and M. Haque Empirical evaluation of alternative approaches in identifying crash hotspots: naive ranking, empirical Bayes and full Bayes Transp. Res. Rec.: J. Transp. Res. Board 2013 2009 32 41
21. H. Huang, and H.C. Chin Modeling road traffic crashes with zero-inflation and site-specific random effects Stat. Methods Appl. 19 2010 445 462
22. H. Huang, M. Abdel-Aty, and A. Darwiche County-level crash risk analysis in Florida: Bayesian spatial modeling Transp. Res. Rec.: J. Transp. Res. Board 2148 2010 27 37
23. H. Huang, and M. Abdel-Aty Multilevel data and Bayesian analysis in traffic safety Accid. Anal. Prev. 42 2010 1556 1565
24. P. Jovanis, and H. Chang Modeling the relationship of accidents to miles traveled Transp. Res. Rec.: J. Transp. Res. Board 1068 1986 42 51
25. K. Kim, M. Brunner, and E. Yamashita Influence of land use population, employment, and economic activity on accidents Transp. Res. Rec.: J. Transp. Res. Board 1953 2006 56 64
26. K. Kim, P. Pant, and E. Yamashita Accidents and accessibility: measuring influences of demographic and land use variables in Honolulu Hawaii Transp. Res. Rec.: J. Transp. Res. Board 2147 2010 9 17
27. K. Kim, P. Pant, E. Yamashita, and I. Brunner Entropy and accident Transp. Res. Rec.: J. Transp. Res. Board 2280 2012 173 182
28. D. Lord, and L. Miranda-Moreno Effects of low sample mean values and small sample size on the estimation of the fixed dispersion parameter of Poisson-gamma models for modeling motor vehicle crashes: a Bayesian perspective Saf. Sci. 46 2008 751 770
29. Y. MacNab Bayesian spatial and ecological models for small-area accident and injury analysis Accid. Anal. Prev. 36 2004 1028 1091
30. N. Malyshkina, F. Mannering, and A. Tarko Markov switching negative binomial models: an application to vehicle accident frequencies Accid. Anal. Prev. 41 2009 217 226
31. S. Miaou The relationship between truck accidents and geometric design of road section: Poisson versus negative binomial regression Accid. Anal. Prev. 26 1994 471 482
32. R. Noland Traffic fatalities and injuries: the effect of changes in infrastructure and other trends Accid. Anal. Prev. 35 2003 599 611
33. R. Noland, and L. Oh The effect of infrastructure and demographic change on traffic-related fatalities and crashes: a case study of Illinois county-level data Accid. Anal. Prev. 36 2004 525 532
34. B. Park, D. Lord, and J. Hart Bias properties of Bayesian statistics in finite mixture of negative regression models for crash data analysis Accid. Anal. Prev. 42 2010 741 749
35. R. Petzold Proactive Approach to Safety Planning 2003 U.S. Department of Transportation, Federal Highway Administration, Public Roads
36. A. Pirdavani, T. Brijs, T. Bellemans, B. Kochan, and G. Wets Evaluating the road safety effects of a fuel cost increase measure by means of zonal crash prediction modeling Accid. Anal. Prev. 50 2013 186 195
37. M. Poch, and F. Mannering Negative binomial analysis of intersection-accident frequencies J. Transp. Eng. 122 1996 105 113
38. S. Pulugurtha, V. Duddu, and Y. Kotagiri Traffic analysis zone level crash estimation models based on land use characteristics Accid. Anal. Prev. 50 2013 678 687
39. M. Quddus Modeling area-wide count outcomes with spatial correlation and heterogeneity: an analysis of London crash data Accid. Anal. Prev. 40 2008 1486 1497
40. C. Siddiqui, and M. Abdel-Aty Nature of modeling boundary pedestrian crashes at Zones Transp. Res. Rec.: J. Transp. Res. Board 2299 2012 31 40
41. D. Speigelhalter, N. Best, B. Carlin, and V. Linde Bayesian measures of model complexity and fit J. Royal Statistical Soc. Ser. B 64 2003 583 616
42. M.C. Taylor, D.A. Lynam, and A. Baruya The Effects of Drivers' Speed on the Frequency of Road Accidents 2000 Transport Research Laboratory TRL Crowthorne, Berkshire
43. X. Wang, Y. Song, R. Yu, and G. Schultz Safety modeling of suburban arterials in Shanghai China Accid. Anal. Prev. 70 2014 215 224
44. S. Washington, J. Metarko, I. Fomunung, R. Ross, F. Julian, and E. Moran An inter-regional comparison: fatal crashes in the Southeastern and Non-Southeastern United States: preliminary findings Accid. Anal. Prev. 31 1999 135 146
45. S. Washington, I. Van Schalkwyk, S. Mitra, M. Meyer, E. Dumbaugh, and M. Zoll NCHRP Report 546: Incorporating Safety into Long-Range Transportation Planning 2006 Transportation Research Board Washington, DC
46. K. Xie, X. Wang, H. Huang, and X. Chen Corridor-level signalized intersection safety analysis in Shanghai, China using Bayesian hierarchical models Accid. Anal. Prev. 50 2013 25 33
47. P. Xu, H. Huang, N. Dong, and M. Abdel-Aty Sensitivity analysis in the context of regional safety modeling: identifying and assessing the modifiable areal unit problem Accid. Anal. Prev. 70 2014 110 120
48. P. Xu, and H. Huang Modeling crash spatial heterogeneity: random parameter versus geographically weighting Accid. Anal. Prev. 75 2015 16 25
49. Q. Zeng, and H. Huang Bayesian spatial joint modeling of traffic crashes on an urban road network Accid. Anal. Prev. 67 2014 105 112