Exploring Risk Factors with Crash Severity on China Two-Lane Rural Roads Using a Random-Parameter Ordered Probit Model

<table class="table-group" id="tab4"><tr><td><table class="table"><tr><td class="thead-hr" colspan="5"><hr/></td></tr><tr class="thead"><td class="align_left">Model</td><td class="align_center">−2log-likelihood</td><td class="align_center">Chi-square</td><td class="align_center">Df</td><td class="align_center">Sig</td></tr><tr><td class="thead-hr" colspan="5"><hr/></td></tr><tr><td class="align_left">Null hypothesis</td><td class="align_center">2306.652</td><td class="align_center"> </td><td class="align_center"> </td><td class="align_center"> </td></tr><tr><td class="align_left">General</td><td class="align_center">2194.452</td><td class="align_center">14.206</td><td class="align_center">19</td><td class="align_center">0.170</td></tr><tr class="table-tr"><td colspan="5"><hr class="tbody-hr"/></td></tr></table></td></tr></table>

<div>Multicollinearity test variables.</div>

Journal of Advanced Transportation

tab4

Table 4

Table 4: Exploring Risk Factors with Crash Severity on China Two-Lane Rural Roads Using a Random-Parameter Ordered Probit Model 