A multivariate spatial crash frequency model for identifying sites with promise based on crash types

Accident Analysis & Prevention - Tập 87 - Trang 8-16 - 2016
Aguero-Valverde Jonathan1, Kun-Feng (Ken) Wu2, Eric T. Donnell3
1Department of Civil Engineering, University of Costa Rica, Costa Rica
2Department of Transportation and Logistics Management, National Chiao Tung University, Taiwan, ROC
3Department of Civil and Environmental Engineering, The Pennsylvania State University, United States

Tài liệu tham khảo

AASHTO, 2010 Aguero-Valverde, 2013, Multivariate spatial models of excess crash frequency at area level: case of Costa Rica, Accid. Anal. Prev., 59, 365, 10.1016/j.aap.2013.06.014 Aguero-Valverde, 2013, Full Bayes Poisson gamma, Poisson lognormal, and zero inflated random effects models: comparing the precision of crash frequency estimates, Accid. Anal. Prev., 50, 289, 10.1016/j.aap.2012.04.019 Aguero-Valverde, 2006, Spatial analysis of fatal and injury crashes in Pennsylvania, Accid. Anal. Prev., 38, 618, 10.1016/j.aap.2005.12.006 Aguero-Valverde, 2008, Analysis of road crash frequency with spatial models, Transp. Res. Rec., 2061, 55, 10.3141/2061-07 Aguero-Valverde, 2009, Bayesian multivariate Poisson lognormal models for crash severity modeling and site ranking, Transp. Res. Rec., 2136, 82, 10.3141/2136-10 Barua, 2014, A full Bayesian multivariate count data model of collision severity with spatial correlation, Anal. Methods Accid. Res., 3, 28, 10.1016/j.amar.2014.09.001 Besag, 1974, Spatial interaction and the statistical analysis of lattice systems, J. R. Stat. Soc. Ser. B, 36, 192 Carlin, 1996 Carriquiry, 2004 Cressie, 1993 Dubin, 1988, Estimation of regression coefficients in the presence of spatially auto-correlated error terms, Rev. Econ. Stat., 70, 466, 10.2307/1926785 El-Basyouny, 2014, Assessing the effect of weather states on crash severity and type by use of full Bayesian multivariate safety models, Transp. Res. Rec., 2432, 65, 10.3141/2432-08 El-Basyouny, 2009, Accident prediction models using multivariate Poisson-lognormal regression, Accid. Anal. Prev., 42, 1266, 10.1016/j.aap.2010.02.003 Gelman, 2003 Hauer, 1986, On the estimation of the expected number of accidents, Accid. Anal. Prev., 18, 1, 10.1016/0001-4575(86)90031-X Hauer, 1996, Identification of sites with promise, Transp. Res. Rec., 1542, 54, 10.3141/1542-09 Hauer, 1997 Hauer, 2004, How best to rank sites with promise, Transp. Res. Rec., 1897, 48, 10.3141/1897-07 Huang, 2010, County-level crash risk analysis in Florida: Bayesian spatial modeling, Transp. Res. Rec., 2148, 27, 10.3141/2148-04 Lunn, 2009, The BUGS project: evolution, critique, and future directions, Stat. Med., 28, 3049, 10.1002/sim.3680 Ma, 2006, Bayesian multivariate Poisson regression for models of injury count, by severity, Transp. Res. Rec., 1950, 24, 10.3141/1950-04 Ma, 2008, A multivariate Poisson-lognormal regression model for prediction of crash counts by severity, using Bayesian methods, Accid. Anal. Prev., 40, 964, 10.1016/j.aap.2007.11.002 Mardia, 1988, Multi-dimensional multivariate Gaussian Markov random fields with application to image processing, J. Multivar. Anal., 24, 265, 10.1016/0047-259X(88)90040-1 Miaou, 2003, Roadway traffic crash mapping: a space-time modeling approach, J. Transp. Stat., 6, 33 Miranda-Moreno, 2007, Multiple Bayesian testing procedures for selecting hazardous sites, Accid. Anal. Prev., 39, 1192, 10.1016/j.aap.2007.03.008 Narayanamoorthy, 2013, On accommodating spatial dependence in bicycle and pedestrian injury counts by severity level Lan, 2009, Validation of a full Bayes methodology for observational before–after road safety studies and application to evaluation of rural signal conversions, Accid. Anal. Prev., 41, 574, 10.1016/j.aap.2009.02.010 Lord, 2006, Modeling motor vehicle crashes using Poisson-gamma models: examining the effects of low sample mean values and small sample size on the Estimation of the fixed dispersion parameter, Accid. Anal. Prev., 38, 751, 10.1016/j.aap.2006.02.001 Lord, 2010, The statistical analysis of crash-frequency data: a review and assessment of methodological alternatives, Transp. Res. Part A, 44, 291 Park, 2007, Multivariate Poisson-lognormal models for jointly modeling crash frequency by severity, Transp. Res. Rec., 2019, 1, 10.3141/2019-01 Persaud, 1988, Do traffic signals affect safety? Some methodological issues, Transp. Res. Rec., 1185, 37 Persaud, 2010, Comparison of empirical Bayes and full Bayes approaches for before-after road safety evaluations, Accid. Anal. Prev., 42, 38, 10.1016/j.aap.2009.06.028 Preston, 2010 Sawyer, 2011 Spiegelhalter, 2002, Bayesian measures of model complexity and fit, J. R. Stat. Soc. B, 64, 583, 10.1111/1467-9868.00353 Wang, 2013, A Poisson-lognormal conditional-autoregressive model for multivariate spatial analysis of pedestrian crash counts across neighborhoods, Accid. Anal. Prev., 60, 71, 10.1016/j.aap.2013.07.030 Wood, 2002, Generalised linear accident models and goodness of fit testing, Accid. Anal. Prev., 34, 417, 10.1016/S0001-4575(01)00037-9 Wu, 2013, Examining fatal crash reductions by first harmful events since the introduction of the Federal Highway Safety Improvement Program, Transp. Res. Rec.: J. Transp. Res. Board, 2364, 51, 10.3141/2364-07