@inproceedings{c6c567522bcc47d1b1d3c623c9724e93,
title = "Finite mixture modeling approach for developing crash modification factors in highway safety analysis",
abstract = "This study aimed to investigate the relative performance of two alternative models (negative binomial (NB) model and two-component finite mixture of negative binomial models (FMNB-2)) in terms of crash modification factors (CFMs). For a modeling dataset, rural multilane segment crash data for divided highways in California and Texas were used. The resultant CMF function from the FMNB-2 model showed several good properties over the NB model. First, the safety effect of a covariate was better reflected by the CMF function from the FMNB-2 model, since the model takes into account the differential responsiveness of crash frequency to the covariate. Second, the safety effect did not increase continuously without a limit, but leveled off after a certain value of the covariate, which makes more logical sense. However, there was a possibility that a U-shaped relationship could be found, which opens up a new avenue for discussion among highway safety community.",
keywords = "Crash modification factor, Finite mixture model, Highway safety, Negative binomial model",
author = "Park, {B. J.} and C. Lee and D. Lord and Kim, {D. G.}",
year = "2014",
language = "English",
series = "Proceedings of the 19th International Conference of Hong Kong Society for Transportation Studies, HKSTS 2014 - Transportation and Infrastructure",
publisher = "Hong Kong Society for Transportation Studies Limited",
pages = "493--500",
editor = "Z. Leng and Wang, {Y. H.}",
booktitle = "Proceedings of the 19th International Conference of Hong Kong Society for Transportation Studies, HKSTS 2014 - Transportation and Infrastructure",
note = "19th International Conference of Hong Kong Society for Transportation Studies: Transportation and Infrastructure, HKSTS 2014 ; Conference date: 13-12-2014 Through 15-12-2014",
}