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Volumn 117, Issue , 2018, Pages 340-345

Crash data modeling with a generalized estimator

Author keywords

Crash data analysis; Generalized event count model; Under Dispersed data

Indexed keywords

DISPERSIONS; INFORMATION ANALYSIS; REGRESSION ANALYSIS;

EID: 85047196083     PISSN: 00014575     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.aap.2018.04.026     Document Type: Article
Times cited : (12)

References (37)
  • 1
    • 57849139673 scopus 로고    scopus 로고
    • A note on modeling vehicle accident frequencies with random-parameters count models
    • Anastasopoulos, P.C., Mannering, F.L., A note on modeling vehicle accident frequencies with random-parameters count models. Accid. Anal. Prev. 41:1 (2009), 153–159.
    • (2009) Accid. Anal. Prev. , vol.41 , Issue.1 , pp. 153-159
    • Anastasopoulos, P.C.1    Mannering, F.L.2
  • 2
    • 84949524138 scopus 로고    scopus 로고
    • Multivariate random parameters collision count data models with spatial heterogeneity
    • Barua, S., El-Basyouny, K., Islam, M.D., Multivariate random parameters collision count data models with spatial heterogeneity. Anal. Methods Accid. Res. 9 (2016), 1–15.
    • (2016) Anal. Methods Accid. Res. , vol.9 , pp. 1-15
    • Barua, S.1    El-Basyouny, K.2    Islam, M.D.3
  • 3
    • 76049102048 scopus 로고    scopus 로고
    • Explaining variation in safety performance of roundabouts
    • Daniels, S., Brijs, T., Nuyts, E., Wets, G., Explaining variation in safety performance of roundabouts. Accid. Anal. Prev. 42:2 (2010), 393–402.
    • (2010) Accid. Anal. Prev. , vol.42 , Issue.2 , pp. 393-402
    • Daniels, S.1    Brijs, T.2    Nuyts, E.3    Wets, G.4
  • 4
    • 84856106141 scopus 로고    scopus 로고
    • The negative binomial-Lindley generalized linear model: characteristics and application using crash data
    • Geedipally, S.R., Lord, D., Dhavala, S.S., The negative binomial-Lindley generalized linear model: characteristics and application using crash data. Accid. Anal. Prev. 45 (2012), 258–265.
    • (2012) Accid. Anal. Prev. , vol.45 , pp. 258-265
    • Geedipally, S.R.1    Lord, D.2    Dhavala, S.S.3
  • 5
    • 84935670624 scopus 로고
    • Econometric models for count data with an application to the patents-r & d relationship
    • Hausman, J., Hall, B.H., Griliches, Z., Econometric models for count data with an application to the patents-r & d relationship. Econometrica 52:4 (1984), 909–938.
    • (1984) Econometrica , vol.52 , Issue.4 , pp. 909-938
    • Hausman, J.1    Hall, B.H.2    Griliches, Z.3
  • 6
    • 84991585664 scopus 로고    scopus 로고
    • Bayesian nonparametric modeling in transportation safety studies: applications in univariate and multivariate settings
    • Heydari, S., Fu, L., Jopseph, L., Miranda-Moreno, L.F., Bayesian nonparametric modeling in transportation safety studies: applications in univariate and multivariate settings. Anal. Methods Accid. Res. 12 (2016), 18–34.
    • (2016) Anal. Methods Accid. Res. , vol.12 , pp. 18-34
    • Heydari, S.1    Fu, L.2    Jopseph, L.3    Miranda-Moreno, L.F.4
  • 7
    • 84959323373 scopus 로고    scopus 로고
    • Multilevel dirichlet process mixture analysis of railway grade crossing crash data
    • Heydari, S., Fu, L., Lord, D., Mallick, B.K., Multilevel dirichlet process mixture analysis of railway grade crossing crash data. Anal. Methods Accid. Res. 9 (2016), 27–43.
    • (2016) Anal. Methods Accid. Res. , vol.9 , pp. 27-43
    • Heydari, S.1    Fu, L.2    Lord, D.3    Mallick, B.K.4
  • 8
    • 85033489080 scopus 로고    scopus 로고
    • Mean-parametrized Conway–Maxwell–Poisson regression models for dispersed counts
    • Huang, A., Mean-parametrized Conway–Maxwell–Poisson regression models for dispersed counts. Stat. Modell. 17:6 (2017), 1–22.
    • (2017) Stat. Modell. , vol.17 , Issue.6 , pp. 1-22
    • Huang, A.1
  • 9
    • 0002067601 scopus 로고
    • Unified treatment of a broad class of discrete probability distributions
    • Katz, L., Unified treatment of a broad class of discrete probability distributions. Classical Contagious Discrete Distrib. 1 (1965), 175–182.
    • (1965) Classical Contagious Discrete Distrib. , vol.1 , pp. 175-182
    • Katz, L.1
  • 10
    • 84931374239 scopus 로고    scopus 로고
    • Application of the hyper‐Poisson generalized linear model for analyzing motor vehicle crashes
    • Khazraee, S.H., Sáez- Castillo, A.J., Geedipally, S.R., Lord, D., Application of the hyper‐Poisson generalized linear model for analyzing motor vehicle crashes. Risk Anal. 35:5 (2015), 919–930.
    • (2015) Risk Anal. , vol.35 , Issue.5 , pp. 919-930
    • Khazraee, S.H.1    Sáez-Castillo, A.J.2    Geedipally, S.R.3    Lord, D.4
  • 11
    • 2142819395 scopus 로고
    • Statistical models for political science event counts: bias in conventional procedures and evidence for the exponential Poisson regression model
    • King, G., Statistical models for political science event counts: bias in conventional procedures and evidence for the exponential Poisson regression model. Am. J. Polit. Sci. 32:3 (1988), 838–863.
    • (1988) Am. J. Polit. Sci. , vol.32 , Issue.3 , pp. 838-863
    • King, G.1
  • 12
    • 84929063354 scopus 로고
    • Variance specification in event count models: from restrictive assumptions to a generalized estimator
    • King, G., Variance specification in event count models: from restrictive assumptions to a generalized estimator. Am. J. Polit. Sci., 1989, 762–784.
    • (1989) Am. J. Polit. Sci. , pp. 762-784
    • King, G.1
  • 13
    • 0000546278 scopus 로고
    • Specification test for Poisson regression models
    • Lee, L.F., Specification test for Poisson regression models. Int. Econ. Rev. 27:3 (1986), 689–706.
    • (1986) Int. Econ. Rev. , vol.27 , Issue.3 , pp. 689-706
    • Lee, L.F.1
  • 14
    • 0003926451 scopus 로고    scopus 로고
    • The prediction of accidents on digital networks: characteristics and issues related to the application of accident prediction models
    • Lord, D., The prediction of accidents on digital networks: characteristics and issues related to the application of accident prediction models. Ph.D. Dissertation, Department of Civil Engineering, University of Toronto, Toronto, Ont, 2000.
    • (2000) Ph.D. Dissertation, Department of Civil Engineering, University of Toronto, Toronto, Ont
    • Lord, D.1
  • 15
    • 85047179732 scopus 로고    scopus 로고
    • Safety prediction with datasets characterised with excess zero responses and Long tails
    • Dominique Lord Simon Washington Emerald Publishing Limited
    • Lord, D., Geedipally, S.R., Safety prediction with datasets characterised with excess zero responses and Long tails. Lord, Dominique, Washington, Simon, (eds.) Safe Mobility: Challenges, Methodology and Solutions Transport and Sustainability, vol. 11, 2018, Emerald Publishing Limited, 297–323.
    • (2018) Safe Mobility: Challenges, Methodology and Solutions Transport and Sustainability , vol.11 , pp. 297-323
    • Lord, D.1    Geedipally, S.R.2
  • 16
    • 77955889152 scopus 로고    scopus 로고
    • Extension of the application of Conway-Maxwell-Poisson models: analyzing traffic crash data exhibiting underdispersion
    • Lord, D., Geedipally, S.R., Guikema, S.D., Extension of the application of Conway-Maxwell-Poisson models: analyzing traffic crash data exhibiting underdispersion. Risk Anal. 30:8 (2010), 1268–1276.
    • (2010) Risk Anal. , vol.30 , Issue.8 , pp. 1268-1276
    • Lord, D.1    Geedipally, S.R.2    Guikema, S.D.3
  • 17
    • 77952089434 scopus 로고    scopus 로고
    • The statistical analysis of crash-frequency data: a review and assessment of methodological alternatives
    • Lord, D., Mannering, F., The statistical analysis of crash-frequency data: a review and assessment of methodological alternatives. Transp. Res. Part A Policy Pract. 44:5 (2010), 291–305.
    • (2010) Transp. Res. Part A Policy Pract. , vol.44 , Issue.5 , pp. 291-305
    • Lord, D.1    Mannering, F.2
  • 18
    • 42749089792 scopus 로고    scopus 로고
    • Application of the Conway–Maxwell–Poisson generalized linear model for analyzing motor vehicle crashes
    • Lord, D., Guikema, S.D., Geedipally, S.R., Application of the Conway–Maxwell–Poisson generalized linear model for analyzing motor vehicle crashes. Accid. Anal. Prev. 40:3 (2008), 1123–1134.
    • (2008) Accid. Anal. Prev. , vol.40 , Issue.3 , pp. 1123-1134
    • Lord, D.1    Guikema, S.D.2    Geedipally, S.R.3
  • 20
    • 0025499621 scopus 로고
    • A bivariate negative binomial model to explain traffic accident migration
    • Maher, M.J., A bivariate negative binomial model to explain traffic accident migration. Accid. Anal. Prev. 22:5 (1990), 487–498.
    • (1990) Accid. Anal. Prev. , vol.22 , Issue.5 , pp. 487-498
    • Maher, M.J.1
  • 21
    • 84893489445 scopus 로고    scopus 로고
    • Analytic methods in accident research: methodological frontier and future directions
    • Mannering, F.L., Bhat, C.R., Analytic methods in accident research: methodological frontier and future directions. Anal. Methods Accid. Res. 1 (2014), 1–22.
    • (2014) Anal. Methods Accid. Res. , vol.1 , pp. 1-22
    • Mannering, F.L.1    Bhat, C.R.2
  • 22
    • 84964907242 scopus 로고    scopus 로고
    • Unobserved heterogeneity and the statistical analysis of highway accident data
    • Mannering, F.L., Shankar, V., Bhat, C.R., Unobserved heterogeneity and the statistical analysis of highway accident data. Anal. Methods Accid. Res. 11 (2016), 1–16.
    • (2016) Anal. Methods Accid. Res. , vol.11 , pp. 1-16
    • Mannering, F.L.1    Shankar, V.2    Bhat, C.R.3
  • 23
    • 0028486329 scopus 로고
    • The relationship between truck accidents and geometric design of road sections: Poisson versus negative binomial regressions
    • Miaou, S.P., The relationship between truck accidents and geometric design of road sections: Poisson versus negative binomial regressions. Accid. Anal. Prev. 26:4 (1994), 471–482.
    • (1994) Accid. Anal. Prev. , vol.26 , Issue.4 , pp. 471-482
    • Miaou, S.P.1
  • 24
    • 1842428184 scopus 로고    scopus 로고
    • Modeling traffic crash-flow relationships for intersections: dispersion parameter, functional form, and Bayes versus empirical Bayes methods
    • Miaou, S.P., Lord, D., Modeling traffic crash-flow relationships for intersections: dispersion parameter, functional form, and Bayes versus empirical Bayes methods. Transp. Res. Rec.: J. Transp. Res. Board 1840 (2003), 31–40.
    • (2003) Transp. Res. Rec.: J. Transp. Res. Board , vol.1840 , pp. 31-40
    • Miaou, S.P.1    Lord, D.2
  • 26
    • 31044449725 scopus 로고    scopus 로고
    • Accident prediction model for railway-highway interfaces
    • Oh, J., Washington, S.P., Nam, D., Accident prediction model for railway-highway interfaces. Accid. Anal. Prev., 38(2), 2006, 346.
    • (2006) Accid. Anal. Prev. , vol.38 , Issue.2 , pp. 346
    • Oh, J.1    Washington, S.P.2    Nam, D.3
  • 27
    • 85050291160 scopus 로고    scopus 로고
    • Global status report on road safety - 2013: supporting a decade of action
    • 286-286
    • Organization, W. H, Global status report on road safety - 2013: supporting a decade of action. Inj. Prev., 15(4), 2013 286-286.
    • (2013) Inj. Prev. , vol.15 , Issue.4
    • Organization, W. H,1
  • 28
    • 41549126806 scopus 로고    scopus 로고
    • Multivariate Poisson-Lognormal models for jointly modeling crash frequency by severity
    • Park, E.S., Lord, D., Multivariate Poisson-Lognormal models for jointly modeling crash frequency by severity. Transp. Res. Rec. 2019 (2007), 1–6.
    • (2007) Transp. Res. Rec. , vol.2019 , pp. 1-6
    • Park, E.S.1    Lord, D.2
  • 29
    • 0002333607 scopus 로고    scopus 로고
    • Negative binomial analysis of intersection-accident frequencies
    • Poch, M., Mannering, F.L., Negative binomial analysis of intersection-accident frequencies. J. Transp. Eng. 122:2 (1996), 105–113.
    • (1996) J. Transp. Eng. , vol.122 , Issue.2 , pp. 105-113
    • Poch, M.1    Mannering, F.L.2
  • 30
    • 84863304598 scopus 로고    scopus 로고
    • R: A Language and Environment for Statistical Computing
    • R Foundation for Statistical Computing Vienna, Austria
    • R Core Team, R: A Language and Environment for Statistical Computing. 2013, R Foundation for Statistical Computing, Vienna, Austria http://www.R-project.org/.
    • (2013)
    • R Core Team1
  • 31
    • 85045719766 scopus 로고    scopus 로고
    • Development of a Random Parameters Negative Binomial-Lindley Generalized Linear Model to Analyze Over-Dispersed Data. Analytic Methods in Accident Research
    • in press
    • Shaon, M.R.R., Qin, X., Shirazi, A., Lord, D., Geedipally, S.R., Development of a Random Parameters Negative Binomial-Lindley Generalized Linear Model to Analyze Over-Dispersed Data. Analytic Methods in Accident Research. in press, 2018, 10.1016/j.amar.2018.04.002).
    • (2018)
    • Shaon, M.R.R.1    Qin, X.2    Shirazi, A.3    Lord, D.4    Geedipally, S.R.5
  • 32
    • 0032157430 scopus 로고    scopus 로고
    • Evaluating median crossover likelihoods with clustered accident counts: an empirical inquiry using the random effects negative binomial model
    • Shankar, V., Albin, R., Milton, J., Mannering, F., Evaluating median crossover likelihoods with clustered accident counts: an empirical inquiry using the random effects negative binomial model. Transp. Res. Rec. 1635:1 (1998), 44–48.
    • (1998) Transp. Res. Rec. , vol.1635 , Issue.1 , pp. 44-48
    • Shankar, V.1    Albin, R.2    Milton, J.3    Mannering, F.4
  • 33
    • 84959462804 scopus 로고    scopus 로고
    • A semiparametric negative binomial generalized linear model for modeling Over dispersed count data with a heavy tail: characteristics and applications to crash data
    • Shirazi, M., Lord, D., Dhavala, S.S., Geedipally, S.R., A semiparametric negative binomial generalized linear model for modeling Over dispersed count data with a heavy tail: characteristics and applications to crash data. Accid. Anal. Prev. 91 (2016), 10–18.
    • (2016) Accid. Anal. Prev. , vol.91 , pp. 10-18
    • Shirazi, M.1    Lord, D.2    Dhavala, S.S.3    Geedipally, S.R.4
  • 35
    • 85047227849 scopus 로고    scopus 로고
    • An application of the negative binomial–generalized exponential model for analyzing traffic crash data with excess zeros.
    • Vangala, P., Lord, D., Geedipally, S.R., 2014. An application of the negative binomial–generalized exponential model for analyzing traffic crash data with excess zeros.
    • (2014)
    • Vangala, P.1    Lord, D.2    Geedipally, S.R.3
  • 36
    • 56749106251 scopus 로고    scopus 로고
    • Crash frequency analysis with generalized additive models
    • Xie, Y., Zhang, Y., Crash frequency analysis with generalized additive models. Transp. Res. Rec. J. Transp. Res. Board 2061 (2008), 39–45.
    • (2008) Transp. Res. Rec. J. Transp. Res. Board , vol.2061 , pp. 39-45
    • Xie, Y.1    Zhang, Y.2
  • 37
    • 84882380698 scopus 로고    scopus 로고
    • Evaluating the double Poisson generalized linear model
    • Zou, Y., Geedipally, S.R., Lord, D., Evaluating the double Poisson generalized linear model. Accid. Anal. Prev., 59(5), 2013, 497.
    • (2013) Accid. Anal. Prev. , vol.59 , Issue.5 , pp. 497
    • Zou, Y.1    Geedipally, S.R.2    Lord, D.3


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