Geographically weighted negative binomial regression applied to zonal level safety performance models

Marcos José Timbó Lima Gomes; Flávio José Craveiro Cunto; Alan Ricardo da Silva

doi:10.1016/j.aap.2017.06.011

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Geographically weighted negative binomial regression applied to zonal level safety performance models

Marcos José Timbó Lima Gomes Flávio José Craveiro Cunto Alan Ricardo da Silva

Year: 2017 Journal: Accident Analysis & Prevention Vol: 106 Pages: 254-261 Publisher: Elsevier BV

DOI: 10.1016/j.aap.2017.06.011

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Keywords:

Overdispersion Negative binomial distribution Generalized linear model Statistics Poisson regression Poisson distribution Count data Spatial analysis Quasi-likelihood Econometrics Regression analysis Poison control Binomial distribution Computer science Mathematics Population

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0.98

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Topics

Traffic and Road Safety

Physical Sciences → Engineering → Safety, Risk, Reliability and Quality

Urban Transport and Accessibility

Social Sciences → Social Sciences → Transportation

Spatial and Panel Data Analysis

Social Sciences → Economics, Econometrics and Finance → Economics and Econometrics

Geographically weighted negative binomial regression applied to zonal level safety performance models

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