An Analysis of Causality for Road Accident Data Using Graphical Models

Abstract

The technique of graphical modelling (Whittaker, 1990) can be used to identify the dependence relationships between variables representing characteristics of recorded road accidents. It allows large multi-dimensional tables to be analysed by looking for conditional independence relationships among the variables. The variables under study can often be divided into groups that are ordered in time or by a hypothesised causal assumption. For these situations graphical chain models (Whittaker, 1990) are used to explore causal relationships between the variables. Some examples are given for a six-dimensional and a ten-dimensional contingency table.

Citation

Tunaru, R.S. and Jarrett, D.F. (1998), "An Analysis of Causality for Road Accident Data Using Graphical Models", Griffiths, J.D. (Ed.) Mathematics in Transport Planning and Control, Emerald Group Publishing Limited, Leeds, pp. 279-290. https://doi.org/10.1108/9780585474182-027