@article{ref1,
title="A simultaneous safety analysis of crash frequency and severity for highway-rail grade crossings: the competing risks method",
journal="Journal of advanced transportation",
year="2020",
author="Keramati, Amin and Lü, Pan and Zhou, Xiaoyi and Tolliver, Denver",
volume="2020",
number="",
pages="e8878911-e8878911",
abstract="This paper proposes a mathematical model, the competing risks method, to investigate highway-rail grade crossing (HRGC) crash frequency and crash severity simultaneously over a 30-year period. The proposed competing risks model is a special type of survival analysis to accommodate the competing nature of multiple outcomes from the same event of interest; in this case, the competing multiple outcomes are crash severities, while event of interest is crash occurrence. Knowledge-gain-based benefits to be discovered through the application of this model and 30-year dataset are as follows: (1) a straightforward and integrated one-step estimation process that considers both crash frequency and severity likelihood in the same model, so direct hazard ranking considering both crash frequency and severity likelihood is possible; (2) interpretative effects of identified covariates from both the direction and magnitude perspectives; and (3) the long-term cumulative effect of contributors with the cumulative incidence function.<p /> <p>Language: en</p>",
language="en",
issn="0197-6729",
doi="10.1155/2020/8878911",
url="http://dx.doi.org/10.1155/2020/8878911"
}