@article{ref1,
title="Development of a hierarchical tree based regression model for rural traffic crashes",
journal="Journal of the Eastern Asia Society for Transportation Studies",
year="2011",
author="Rengarasu, Terrance M. and Hagiwara, Toru and Hirasawa, Masayuki",
volume="9",
number="",
pages="1731-1746",
abstract="Development of a hierarchical tree based regression model (HTBRM) to find the causal factors of traffic crashes at rural sections of the road is presentenced in this paper. CHAID, a type of rarely used type of HTBRM, was used to model traffic crashes in six national roads of Hokkaido, Japan from 1997 to 2001. CHAID is a non-binary HTBRM; therefore, able to represent the complex relationship between traffic crashes and the independent variables. Here four CHAID models; 1 km non-winter, 1 km winter, 3 km non-winter, and 3 km winter were developed. Models with 3 km road segments were found to be better performing. Tunnels, bridges, and snow sheds were found to be significantly increasing the traffic crashes in winter months of the year. Models lustrated a complex relationship between traffic crashes and the independent variables. Further, several combinations of variables with high number of traffic crashes were identified.<p />",
language="en",
issn="1341-8521",
doi="",
url="http://dx.doi.org/"
}