Estimating the safety effects of lane widths on urban streets in Nebraska using the propensity scores-potential outcomes framework

Accident Analysis and Prevention

Volumn 82, Issue , 2015, Pages 180-191

  Wood, Jonathan S ^a   Gooch, Jeffrey P ^a   Donnell, Eric T ^a  

^a The Pennsylvania State University   (United States)

Author keywords

Generalized boosting; Highlights; Lane width; Mixed effects Poisson and negative binomial regression; Propensity scores; Traffic safety; Urban streets

Indexed keywords

BINS; CRASHWORTHINESS; HIGHWAY ENGINEERING; REGRESSION ANALYSIS; SAFETY ENGINEERING;

GENERALIZED BOOSTING; HIGHLIGHTS; LANE WIDTH; NEGATIVE BINOMIAL REGRESSION; PROPENSITY SCORE; TRAFFIC SAFETY; URBAN STREETS;

HIGHWAY ACCIDENTS;

CITY; CROSS-SECTIONAL STUDY; ENVIRONMENTAL PLANNING; HUMAN; NEBRASKA; PREVENTION AND CONTROL; PROPENSITY SCORE; REGRESSION ANALYSIS; SAFETY; TRAFFIC ACCIDENT;

ACCIDENTS, TRAFFIC; CITIES; CROSS-SECTIONAL STUDIES; ENVIRONMENT DESIGN; HUMANS; NEBRASKA; PROPENSITY SCORE; REGRESSION ANALYSIS; SAFETY;

EID: 84935829469     PISSN: 00014575     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.aap.2015.06.002     Document Type: Article

References (63)

1. AASHTO Highway Safety Manual 2010 American Association of State Highway and Transportation Officials Washington, D.C
2. M.A. Abdel-aty, and A.E. Radwan Modeling traffic accident occurrence and involvement Accid. Anal. Prev. 32 2000 633 642
3. W. An Bayesian propensity score estimators: incorporating uncertainties in propensity scores into causal inference Sociol. Methodol. 40 2010 151 189
4. J.D. Angrist, and J.-S. Pischke Mastering Metrics: The Path From Cause to Effect 2014 Princeton University Press
5. N. Aul, and G. Davis Use of propensity score matching method and hybrid Bayesian method to estimate crash modification factors of signal installation Transp. Res. Rec. J. Transp. Res. Board 1950 2006 17 23
6. S.J. Brener, B.W. Lytle, I.P. Casserly, J.P. Schneider, E.J. Topol, and M.S. Lauer Propensity analysis of long-term survival after surgical or percutaneous revascularization in patients with multivessel coronary artery disease and high-risk features Circulation 109 2004 2290 2295
7. L.-Y. Chang Analysis of freeway accident frequencies: negative binomial regression versus artificial neural network Saf. Sci. 43 2005 541 557
8. R.B. D'Agostino Propensity scores in cardiovascular research Circulation 115 2007 2340 2343
9. D.B. Dunson Commentary: practical advantages of Bayesian analysis of epidemiologic data Am. J. Epidemiol. 153 2001 1222 1226
10. R. Elvik, P. Christensen, and A. Amundsen Speed and Road Accidents: An Evaluation of the Power Model 2004 Oslo Norway
11. G. Firebaugh Seven Rules For Social Research 2008 Princeton University Press
12. A. Gelman, and J. Hill Data Analysis Using Regression and Multilevel/Hierarchical Models 2006 Cambridge University Press
13. A. Gelman, J.B. Carlin, H.S. Stern, D.B. Dunson, A. Vehtari, and D.B. Rubin Bayesian Data Analysis 3rd ed. 2014 CRC Press
14. F. Gross, and P.P. Jovanis Estimation of the safety effectiveness of lane and shoulder width: case-control approach J. Transp. Eng. 133 2007 362 369
15. F. Gross, and P.P. Jovanis Safety effectiveness of lane and shoulder width combinations on rural, two-lane, undivided roads Transp. Res. Rec. J. Transp. Res. Board 2103 2009 42 49
16. C. Guo, and M.W. Fraser Propensity Score Analysis 1st ed. 2010 Sage Publications, Inc. Washington, D.C
17. M. Hadi, J. Aruldhas, L.-F. Chow, and J. Wattleworth Estimating safety effects of cross-section design for various highway types using negative binomial regression Transp. Res. Rec. J. Transp. Res. Board 1500 1995 169 177
18. T. Hastie, R. Tibshirani, and J. Friedman The Elements of Statistical Learning 2nd ed. 2009 Springer
19. E. Hauer Observational Before-after Studies in Road Safety: Estimating the Effect of Highway and Traffic Engineering Measures on Road Safety 1997 Emerald Group Publishing Limited Bingley, UK
20. E. Hauer, F.M. Council, and Y. Mohammedshah Safety models for urban four-lane undivided road segments Transp. Res. Rec. J. Transp. Res. Board 2004 96 105
21. J.M. Hilbe Negative Binomial Regression 2011 Cambridge University Press
22. K. Hirano, G.W. Imbens, and G. Ridder Efficient estimation of average treatment effects using the estimated propensity score Econometrica 71 2003 1161 1189
23. W.M. Holmes Using Propensity Scores in Quasi-Experimental Designs 2013 SAGE Publications
24. P. Jovanis, and H. Chang Modeling the relationship between accidents and miles traveled Transp. Res. Rec. J. Transp. Res. Board 1068 1986 42 51
25. J.D.Y. Kang, and J.L. Schafer Demystifying double robustness: a comparison of alternative strategies for estimating a population mean from incomplete data Stat. Sci. 22 2007 569 573
26. V. Karwa, A.B. Slavković, and E.T. Donnell Causal inference in transportation safety studies: comparison of potential outcomes and causal diagrams Ann. Appl. Stat. 5 2011 1428 1455
27. P. Kennedy A Guide to Econometrics 6th ed. 2008 Blackwell Publishing Malden, MA
28. M. Kruse Costs of traffic injuries Inj. Prev. 2013 10.1136/injuryprev-2013-040757
29. Thanh Q. Le, and Richard Jon Porter Safety effects of cross-section design on urban and suburban roads Transportation Research Board 92nd Annual Meeting No. 13-5120 2013
30. B.K. Lee, J. Lessler, and E.A. Stuart Improving propensity score weighting using machine learning Stat. Med. 29 2010 337 346
31. A. Linden, J.L. Adams, and N. Roberts Using propensity scores to construct comparable control groups for disease management program Dis. Manag. Health Outcomes J. 13 2005 107 115
32. F.L. Mannering, and C. Bhat Analytic methods in accident research: methodologial frontier and future directions Anal. Methods Accid. Res. 1 2014 1 22
33. D.F. McCaffrey, G. Ridgeway, and A.R. Morral Propensity score estimation with boosted regression for evaluating causal effects in observational studies Psychol. Methods 2004 9
34. L.C. McCandless, P. Gustafson, and P.C. Austin Bayesian propensity score analysis for observational data Stat. Med. 28 2009 94 112
35. S.-P. Miaou The relationship between truck accidents and geometric design of road sections: Poisson versus negative binomial regressions Accid. Anal. Prev. 26 1994 471 482
36. R.B. 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
37. J.M. Oakes, and T.R. Church Invited commentary: advancing propensity score methods in epidemiology Am. J. Epidemiol. 165 2007 1119 1121 discussion 1122-3
38. P.Y.-J. Park, and F.F. Saccomanno Reducing treatment selection bias for estimating treatment effects using propensity score method J. Transp. Eng. 133 2007 112 118
39. X. Qin, J.N. Ivan, N. Ravishanker, and J. Liu Hierarchical Bayesian estimation of safety performance functions for two-lane highways using Markov Chain Monte Carlo Modeling J. Transp. Eng. 131 2005 345 351
40. S. Rabe-Hesketh, and A. Skrondal Multilevel and Longitudinal Modeling Using Stata 2nd ed. 2008 Stata Press
41. G. Ridgeway The State of boosting Comput. Sci. Stat. 31 1999 172 181
42. P.R. Rosenbaum Observational Studies 2nd ed. 2002 Springer Series in Statistics New York
43. P.R. Rosenbaum, and D.B. Rubin The central role of propensity score in observational studies for causal effects Biometrika 70 1983 41 55
44. D.B. Rubin Assignment to treatment group on the basis of a covariate J. Educ. Stat. 2 1977 1 26
45. D.B. Rubin Discussion of paper by D. Basu Am. Stat. Assoc. 75 1980 591 593
46. D.B. Rubin The use of propensity scores in applied Bayesian inference Bayesian Stat. 2 1985 463 472
47. L. Sasidharan, and E.T. Donnell Application of propensity scores and potential outcomes to estimate effectiveness of traffic safety countermeasures: exploratory analysis using intersection lighting data Accid. Anal. Prev. 50 2013 539 553
48. L. Sasidharan, and E.T. Donnell Propensity scores-potential outcomes framework to incorporate severity probabilities in the highway safety manual crash prediction algorithm Accid. Anal. Prev. 71 2014 183 193
49. M. Schonlau Boosted regression (boosting): an introductory tutorial and a Stata plugin Stata J. 5 2005 330 354
50. V. Shankar, F. Mannering, and W. Barfield Effect of roadway geometrics and environmental factors on rural freeway accident frequencies Accid. Anal. Prev. 27 1995 371 389
51. Stata Corp., 2013. Stata 13 Documentation.
52. J.G. Strathman, K.J. Dueker, T. Williams, 2001. Analysis of Design Attributes and Crashes on the Oregon Highway System.
53. T. Stürmer, S. Schneeweiss, M.A. Brookhart, K.J. Rothman, J. Avorn, and R.J. Glynn Analytic strategies to adjust confounding using exposure propensity scores and disease risk scores: nonsteroidal antinflammatory drugs and short-term mortality in the elderly Am. J. Epidemiol. 161 2005 891 898
54. J. Thompson Bayesian Analysis With Stata 2014 Stata Press
55. S.T. Tin, A. Woodward, and S. Ameratunga What influences the association between previous and future crashes among cyclists? A propensity score analysis Plos One 9 2014 1 6
56. Transportation Econometrics Modeling Group at UCF, 2014. 2015 Transportation Research Board (TRB) Data Contest [WWW Document]. URL http://www.people.cecs.ucf.edu/neluru/TRBDataContest.html.
57. D. Westreich, and S.R. Cole Invited commentary: positivity in practice Am. J. Epidemiol. 171 2010 674 681
58. D. Westreich, J. Lessler, and M.J. Funk Propensity score estimation: neural networks, support vector machines, decision trees (CART), and meta-classifiers as alternatives to logistic regression J. Clin. Epidemiol. 63 2010 826 833
59. J.S. Wood, E.T. Donnell, and R.J. Porter Comparison of safety effect estimates obtained from empirical Bayes before-after study propensity scores-potential outcomes framework, and regression model with cross sectional data Accid. Anal. Prev. 75 2014 144 154
60. J.S. Wood, and R.J. Porter Safety Impacts of Design Exceptions on Nonfreeway Segments Transp. Res. Rec. J. Transp. Res. Board 2358 2013 29 37
61. R. Wyss, A.R. Ellis, M.A. Brookhart, C.J. Girman, M. Jonsson Funk, R. LoCasale, and T. Stürmer The role of prediction modeling in propensity score estimation an evaluation of logistic regression, Bcart, and the covariate-balancing propensity score Am. J. Epidemiol. 180 2014 645 655
62. O. Yanmaz-Tuzel, and K. Ozbay A comparative full Bayesian before-and-after analysis and application to urban road safety countermeasures in New Jersey Accid. Anal. Prev. 42 2010 2099 2107
63. C.M. Zigler, K. Watts, R.W. Yeh, Y. Wang, B.A. Coull, and F. Dominici Model feedback in Bayesian propensity score estimation Biometrics 69 2013 263 273