Generalised linear accident models and goodness of fit testing

G. R. Wood*

*Corresponding author for this work

    Research output: Contribution to journalArticlepeer-review

    58 Citations (Scopus)

    Abstract

    A practical resolution of the low mean value problem which is a barrier to goodness of fit testing for the commonly used generalised linear accident model, and the mechanism of these models were discussed. The number of loss-of-control injury accidents, over 5 years, against 24 h vehicle flow for 392 approaches to intersections in New Zealand, were presented. Results showed that the accident variance grew larger than the accident mean as the mean increasesed. This indicated that a negative binomial distribution might be appropriate for the number of accidents at a given flow.

    Original languageEnglish
    Pages (from-to)417-427
    Number of pages11
    JournalAccident Analysis and Prevention
    Volume34
    Issue number4
    DOIs
    Publication statusPublished - Jul 2002

    Keywords

    • Generalised linear model
    • Low mean value
    • Negative binomial
    • Pearson's X
    • Poisson
    • Scaled deviance

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