U.S. Department of Transportation
Federal Highway Administration
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Federal Highway Administration Research and Technology
Coordinating, Developing, and Delivering Highway Transportation Innovations
| REPORT |
| This report is an archived publication and may contain dated technical, contact, and link information |
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 |
| Publication Number: FHWA-HRT-14-020 Date: January 2015 |
Publication Number: FHWA-HRT-14-020 Date: January 2015 |
Table 107. Negative binomial regression model estimation results for property damage only crashes (all severities).
Variable |
Coefficient |
Standard Error |
z |
P > z |
95-Percent Confidence Interval |
|
ln_aadt |
0.649 |
0.061 |
10.700 |
< 0.001 |
0.530 |
0.768 |
illinois |
1.195 |
0.108 |
11.080 |
< 0.001 |
0.984 |
1.407 |
Lane10 |
1.047 |
0.227 |
4.610 |
< 0.001 |
0.602 |
1.493 |
Lane11 |
0.431 |
0.166 |
2.610 |
0.009 |
0.107 |
0.756 |
shoulder |
-0.052 |
0.024 |
-2.140 |
0.032 |
-0.100 |
-0.004 |
ln10shld |
-0.119 |
0.060 |
-1.980 |
0.048 |
-0.238 |
-0.001 |
ln11shld |
-0.037 |
0.032 |
-1.160 |
0.246 |
-0.099 |
0.025 |
barrier |
4.346 |
1.807 |
2.400 |
0.016 |
0.804 |
7.889 |
drvwy_den |
0.016 |
0.007 |
2.340 |
0.019 |
0.003 |
0.029 |
solid_CL |
0.563 |
0.215 |
2.620 |
0.009 |
0.143 |
0.984 |
dash1_CL |
0.992 |
0.334 |
2.970 |
0.003 |
0.338 |
1.646 |
curve |
0.253 |
0.076 |
3.340 |
0.001 |
0.105 |
0.402 |
_cons |
-5.401 |
0.486 |
-11.120 |
< 0.001 |
-6.352 |
-4.449 |
ln(Length) |
1 |
(exposure) |
— |
— |
— |
|
/lnalpha |
-0.86727 |
0.117387 |
— |
— |
-1.09734 |
-0.63719 |
alpha |
0.420098 |
0.049314 |
— |
— |
0.333757 |
0.528774 |
Log likelihood = -1473.751
Number of Observations = 877
LR chi2(12) = 425.44
Prob > chi2 = 0
Pseudo R2 = 0.1261
Likelihood-ratio test of alpha=0: chibar2(01) = 254.30 Prob>=chibar2 = 0.000
— Indicates Not Available
Table 108. Negative binomial regression model estimation results for single-vehicle crashes
(all severities).
sv_all |
Coefficient |
Standard Error |
z |
P > z |
95-percent Confidence Interval |
|
ln_aadt |
0.514 |
0.059 |
8.67 |
< 0.001 |
0.398 |
0.631 |
illinois |
1.128 |
0.103 |
10.9 |
< 0.001 |
0.925 |
1.331 |
Lane10 |
0.896 |
0.219 |
4.08 |
< 0.001 |
0.466 |
1.326 |
Lane11 |
0.413 |
0.160 |
2.58 |
0.010 |
0.099 |
0.727 |
shoulder |
-0.064 |
0.024 |
-2.71 |
0.007 |
-0.111 |
-0.018 |
ln10shld |
-0.090 |
0.058 |
-1.56 |
0.120 |
-0.202 |
0.023 |
ln11shld |
-0.030 |
0.031 |
-0.99 |
0.323 |
-0.091 |
0.030 |
barrier |
3.597 |
1.760 |
2.04 |
0.041 |
0.147 |
7.046 |
drvwy_den |
0.017 |
0.007 |
2.630 |
0.009 |
0.004 |
0.030 |
solid_CL |
0.478 |
0.208 |
2.300 |
0.022 |
0.070 |
0.886 |
dash1_CL |
0.923 |
0.324 |
2.850 |
0.004 |
0.288 |
1.559 |
curve |
0.246 |
0.074 |
3.330 |
0.001 |
0.101 |
0.391 |
_cons |
-4.174 |
0.469 |
-8.890 |
< 0.001 |
-5.094 |
-3.254 |
ln(Length) |
1 |
(exposure) |
— |
— |
— |
|
/lnalpha |
-0.94318 |
0.120937 |
— |
— |
-1.180212 |
-0.7061473 |
alpha |
0.389388 |
0.047092 |
— |
— |
0.3072135 |
0.493542 |
Log likelihood = -1493.2046
Number of Observations = 877
LR chi2(12) = 408.55
Prob > chi2 = 0
Pseudo R2 = 0.1203
Likelihood-ratio test of alpha=0: chibar2(01) = 229.65 Prob>=chibar2 = 0.000
— Indicates Not Available
Table 109. Negative binomial regression model estimation results for multiple-vehicle crashes (all severities).
mv_all |
Coefficient |
Standard Error |
z |
P > z |
95-Percent Confidence Interval |
|
ln_aadt |
1.482 |
0.110 |
13.430 |
< 0.001 |
1.266 |
1.698 |
illinois |
0.628 |
0.171 |
3.680 |
< 0.001 |
0.294 |
0.962 |
Lane10 |
0.769 |
0.470 |
1.640 |
0.102 |
-0.153 |
1.690 |
Lane11 |
0.199 |
0.306 |
0.650 |
0.515 |
-0.400 |
0.798 |
shoulder |
0.007 |
0.040 |
0.160 |
0.872 |
-0.073 |
0.086 |
ln10shld |
-0.223 |
0.132 |
-1.690 |
0.092 |
-0.481 |
0.036 |
ln11shld |
-0.006 |
0.053 |
-0.110 |
0.910 |
-0.110 |
0.098 |
barrier |
5.690 |
2.653 |
2.150 |
0.032 |
0.491 |
10.889 |
drvwy_den |
-0.002 |
0.012 |
-0.160 |
0.875 |
-0.024 |
0.021 |
solid_CL |
0.422 |
0.343 |
1.230 |
0.218 |
-0.250 |
1.094 |
dash1_CL |
0.641 |
0.542 |
1.180 |
0.237 |
-0.421 |
1.703 |
curve |
-0.013 |
0.126 |
-0.100 |
0.921 |
-0.259 |
0.234 |
_cons |
-13.401 |
0.909 |
-14.750 |
< 0.001 |
-15.182 |
-11.620 |
ln(Length) |
1 |
(exposure) |
— |
— |
— |
|
/lnalpha |
-1.1353 |
0.372991 |
— |
— |
-1.866348 |
-0.4042488 |
alpha |
0.321326 |
0.119852 |
— |
— |
0.1546876 |
0.667478 |
Log likelihood = -649.6117
Number of Observations = 877
LR chi2(12) = 213.52
Prob > chi2 = 0
Pseudo R2 = 0.1411
Likelihood-ratio test of alpha=0: chibar2(01) = 12.89 Prob>=chibar2 = 0.000
— Indicates Not Available
Table 110. Negative binomial regression model estimation results for key lane width/shoulder width crashes (all severities).
key_kabco |
Coefficient |
Standard Error |
z |
P > z |
95-Percent Confidence Interval |
|
ln_aadt |
0.606 |
0.059 |
10.27 |
< 0.001 |
0.490 |
0.721 |
illinois |
1.083 |
0.099 |
10.98 |
< 0.001 |
0.890 |
1.277 |
Lane10 |
0.903 |
0.223 |
4.04 |
< 0.001 |
0.465 |
1.341 |
Lane11 |
0.519 |
0.161 |
3.23 |
0.001 |
0.205 |
0.834 |
shoulder |
-0.052 |
0.023 |
-2.26 |
0.024 |
-0.097 |
-0.007 |
ln10shld |
-0.076 |
0.056 |
-1.37 |
0.172 |
-0.185 |
0.033 |
ln11shld |
-0.060 |
0.030 |
-1.97 |
0.049 |
-0.119 |
0.000 |
barrier |
4.305 |
1.888 |
2.28 |
0.023 |
0.604 |
8.006 |
drvwy_den |
0.012 |
0.007 |
1.88 |
0.060 |
-0.001 |
0.025 |
solid_CL |
0.471 |
0.209 |
2.26 |
0.024 |
0.062 |
0.880 |
dash1_CL |
0.800 |
0.323 |
2.47 |
0.013 |
0.166 |
1.433 |
curve |
0.231 |
0.074 |
3.14 |
0.002 |
0.087 |
0.376 |
_cons |
-4.613 |
0.466 |
-9.9 |
<0.001 |
-5.527 |
-3.700 |
ln(Length) |
1 |
(exposure) |
— |
— |
— |
|
/lnalpha |
-0.72081 |
0.102919 |
— |
— |
-0.92253 |
-0.5191 |
alpha |
0.486356 |
0.050055 |
— |
— |
0.397512 |
0.595057 |
Log likelihood = -1684.8577
Number of Observations = 877
LR chi2(12) = 395.990
Prob > chi2 = 0.000
Pseudo R2 = 0.105
Likelihood-ratio test of alpha=0: chibar2(01) = 395.21 Prob>=chibar2 = 0.000
— Indicates Not Available
Table 111. Negative binomial regression model estimation results for single-vehicle crashes (fatal-plus-injury).
sv_fi |
Coefficient |
Standard. Error |
z |
P > z |
95-Percent Confidence Interval |
|
ln_aadt |
0.562 |
0.112 |
5.01 |
< 0.001 |
0.342 |
0.783 |
illinois |
0.427 |
0.189 |
2.26 |
0.024 |
0.057 |
0.798 |
Lane10 |
-0.035 |
0.428 |
-0.08 |
0.935 |
-0.874 |
0.804 |
Lane11 |
0.193 |
0.305 |
0.63 |
0.528 |
-0.406 |
0.791 |
shoulder |
-0.116 |
0.045 |
-2.58 |
0.010 |
-0.203 |
-0.028 |
ln10shld |
0.063 |
0.106 |
0.6 |
0.551 |
-0.144 |
0.271 |
ln11shld |
-0.023 |
0.061 |
-0.39 |
0.699 |
-0.142 |
0.095 |
barrier |
0.576 |
3.244 |
0.18 |
0.859 |
-5.783 |
6.934 |
drvwy_den |
0.007 |
0.013 |
0.590 |
0.553 |
-0.017 |
0.032 |
solid_CL |
0.530 |
0.369 |
1.440 |
0.151 |
-0.194 |
1.253 |
dash1_CL |
0.345 |
0.615 |
0.560 |
0.575 |
-0.860 |
1.550 |
curve |
0.081 |
0.141 |
0.580 |
0.563 |
-0.194 |
0.357 |
_cons |
-5.385 |
0.882 |
-6.100 |
<0.001 |
-7.114 |
-3.656 |
ln(Length) |
1 |
(exposure) |
— |
— |
— |
|
/lnalpha |
-1.10368 |
0.491638 |
— |
— |
-2.06727 |
-0.1400852 |
alpha |
0.331649 |
0.163051 |
— |
— |
0.1265307 |
0.8692842 |
Log likelihood = -579.36383
Number of Observations = 877
LR chi2(12) = 64.28
Prob > chi2 = 0
Pseudo R2 = 0.0526
Likelihood-ratio test of alpha=0: chibar2(01) = 6.35 Prob>=chibar2 = 0.006
— Indicates Not Available
Table 112. Negative binomial regression model estimation results for multiple-vehicle crashes (fatal-plus-injury).
mv_fi |
Coefficient |
Standard Error |
z |
P > z |
95-percent Confidence Interval |
|
ln_aadt |
1.142 |
0.162 |
7.060 |
< 0.001 |
0.825 |
1.459 |
illinois |
0.557 |
0.248 |
2.240 |
0.025 |
0.071 |
1.043 |
Lane10 |
0.427 |
0.992 |
0.430 |
0.667 |
-1.517 |
2.371 |
Lane11 |
0.762 |
0.481 |
1.580 |
0.114 |
-0.182 |
1.705 |
shoulder |
0.146 |
0.059 |
2.470 |
0.013 |
0.030 |
0.262 |
ln10shld |
-0.185 |
0.219 |
-0.840 |
0.398 |
-0.613 |
0.244 |
ln11shld |
-0.100 |
0.078 |
-1.290 |
0.196 |
-0.252 |
0.052 |
barrier |
5.476 |
4.069 |
1.350 |
0.178 |
-2.498 |
13.450 |
drvwy_den |
-0.011 |
0.019 |
-0.570 |
0.570 |
-0.048 |
0.026 |
solid_CL |
0.129 |
0.559 |
0.230 |
0.817 |
-0.966 |
1.225 |
dash1_CL |
0.533 |
0.836 |
0.640 |
0.524 |
-1.106 |
2.173 |
curve |
0.126 |
0.186 |
0.680 |
0.498 |
-0.238 |
0.490 |
_cons |
-12.279 |
1.343 |
-9.140 |
<0.001 |
-14.911 |
-9.646 |
ln(Length) |
1 |
(exposure) |
— |
— |
— |
|
/lnalpha |
-1.18079 |
0.886305 |
— |
— |
-2.917915 |
0.5563366 |
alpha |
0.307036 |
0.272128 |
— |
— |
0.0540463 |
1.744271 |
Log likelihood = -374.64352
Number of Observations = 877
LR chi2(12) = 79.46
Prob > chi2 = 0
Pseudo R2 = 0.0959
Likelihood-ratio test of alpha=0: chibar2(01) = 1.73 Prob>=chibar2 = 0.094
— Indicates Not Available
Table 113. Negative binomial regression model estimation results for key lane-width/shoulder-width crashes (fatal-plus-injury).
key_kabc |
Coefficient |
Standard Error |
z |
P > z |
95-Percent Confidence Interval |
|
ln_aadt |
0.598 |
0.114 |
5.27 |
< 0.001 |
0.376 |
0.821 |
illinois |
0.523 |
0.180 |
2.9 |
0.004 |
0.170 |
0.875 |
Lane10 |
0.080 |
0.458 |
0.17 |
0.862 |
-0.819 |
0.978 |
Lane11 |
0.552 |
0.319 |
1.73 |
0.084 |
-0.073 |
1.178 |
shoulder |
-0.070 |
0.044 |
-1.6 |
0.109 |
-0.155 |
0.015 |
ln10shld |
0.068 |
0.105 |
0.65 |
0.518 |
-0.138 |
0.274 |
ln11shld |
-0.093 |
0.060 |
-1.55 |
0.121 |
-0.211 |
0.025 |
barrier |
0.314 |
3.738 |
0.08 |
0.933 |
-7.014 |
7.641 |
drvwy_den |
0.009 |
0.013 |
0.67 |
0.501 |
-0.017 |
0.034 |
solid_CL |
0.288 |
0.397 |
0.72 |
0.469 |
-0.490 |
1.066 |
dash1_CL |
0.416 |
0.629 |
0.66 |
0.508 |
-0.815 |
1.648 |
curve |
0.034 |
0.147 |
0.23 |
0.818 |
-0.255 |
0.322 |
_cons |
-5.392 |
0.888 |
-6.07 |
<0.001 |
-7.132 |
-3.651 |
ln(Length) |
1 |
(exposure) |
— |
— |
— |
|
/lnalpha |
0.481668 |
0.153744 |
— |
0.180335 |
0.783001 |
|
alpha |
1.618773 |
0.248877 |
— |
— |
1.197619 |
2.18803 |
Log likelihood = -817.20472
Number of Observations = 877
LR chi2(12) = 66
Prob > chi2 = 0.0000
Pseudo R2 = 0.0388
Likelihood-ratio test of alpha=0: chibar2(01) = 144.74 Prob>=chibar2 = 0.000
— Indicates Not Available
Table 114. Negative binomial regression model estimation results for single-vehicle crashes (PDO).
sv_o |
Coefficient |
Standard Error |
z |
P > z |
95-Percent Confidence Interval |
|
ln_aadt |
0.515 |
0.065 |
7.9 |
< 0.001 |
0.387 |
0.643 |
illinois |
1.307 |
0.117 |
11.17 |
< 0.001 |
1.077 |
1.536 |
Lane10 |
1.029 |
0.240 |
4.3 |
< 0.001 |
0.560 |
1.499 |
Lane11 |
0.427 |
0.175 |
2.44 |
0.015 |
0.083 |
0.770 |
shoulder |
-0.054 |
0.026 |
-2.04 |
0.041 |
-0.105 |
-0.002 |
ln10shld |
-0.113 |
0.064 |
-1.77 |
0.077 |
-0.238 |
0.012 |
ln11shld |
-0.031 |
0.034 |
-0.9 |
0.370 |
-0.097 |
0.036 |
barrier |
4.386 |
1.928 |
2.27 |
0.023 |
0.606 |
8.166 |
drvwy_den |
0.018 |
0.007 |
2.490 |
0.013 |
0.004 |
0.032 |
solid_CL |
0.499 |
0.230 |
2.170 |
0.030 |
0.048 |
0.951 |
dash1_CL |
1.031 |
0.356 |
2.900 |
0.004 |
0.333 |
1.728 |
curve |
0.288 |
0.081 |
3.570 |
<0.001 |
0.130 |
0.447 |
_cons |
-4.589 |
0.519 |
-8.840 |
<0.001 |
-5.606 |
-3.572 |
ln(Length) |
1 |
(exposure) |
— |
— |
— |
|
/lnalpha |
-0.76859 |
0.121186 |
— |
— |
-1.006113 |
-0.5310743 |
alpha |
0.463665 |
0.05619 |
— |
— |
0.3656375 |
0.587973 |
Log likelihood = -1390.4041
Number of Observations = 877
LR chi2(12) = 397.58
Prob > chi2 = 0
Pseudo R2 = 0.1251
Likelihood-ratio test of alpha=0: chibar2(01) = 239.28 Prob>=chibar2 = 0.000
— Indicates Not Available
Table 115. Negative binomial regression model estimation results for multiple-vehicle crashes (PDO).
mv_o |
Coefficient |
Standard Error |
z |
P > z |
95-Percent Confidence Interval |
|
ln_aadt |
1.727 |
0.144 |
12.010 |
< 0.001 |
1.445 |
2.009 |
illinois |
0.671 |
0.222 |
3.020 |
0.003 |
0.236 |
1.105 |
Lane10 |
0.686 |
0.542 |
1.270 |
0.206 |
-0.376 |
1.749 |
Lane11 |
-0.198 |
0.383 |
-0.520 |
0.605 |
-0.948 |
0.552 |
shoulder |
-0.095 |
0.052 |
-1.810 |
0.071 |
-0.197 |
0.008 |
ln10shld |
-0.186 |
0.167 |
-1.120 |
0.264 |
-0.514 |
0.141 |
ln11shld |
0.068 |
0.070 |
0.980 |
0.329 |
-0.069 |
0.205 |
barrier |
5.742 |
3.298 |
1.740 |
0.082 |
-0.722 |
12.207 |
drvwy_den |
0.004 |
0.014 |
0.290 |
0.775 |
-0.024 |
0.032 |
solid_CL |
0.568 |
0.420 |
1.350 |
0.176 |
-0.254 |
1.391 |
dash1_CL |
0.653 |
0.682 |
0.960 |
0.338 |
-0.684 |
1.991 |
curve |
-0.096 |
0.161 |
-0.590 |
0.552 |
-0.412 |
0.220 |
_cons |
-15.436 |
1.179 |
-13.090 |
<0.001 |
-17.747 |
-13.124 |
ln(Length) |
1 |
(exposure) |
— |
— |
— |
|
/lnalpha |
-0.79447 |
0.433001 |
— |
— |
-1.643133 |
0.0542011 |
alpha |
0.451823 |
0.19564 |
— |
— |
0.1933733 |
1.055697 |
Log likelihood = -469.42118
Number of Observations = 877
LR chi2(12) = 178.04
Prob > chi2 = 0
Pseudo R2 = 0.1594
Likelihood-ratio test of alpha=0: chibar2(01) = 9.54 Prob>=chibar2 = 0.001
— Indicates Not Available
Table 116. Negative binomial regression model estimation results for key lane-width/shoulder-width crashes (PDO).
key_o |
Coefficient |
Standard Error |
z |
P > z |
95-Percent Confidence Interval |
|
ln_aadt |
0.615 |
0.066 |
9.37 |
< 0.001 |
0.486 |
0.743 |
illinois |
1.276 |
0.113 |
11.25 |
< 0.001 |
1.054 |
1.498 |
Lane10 |
1.059 |
0.245 |
4.33 |
< 0.001 |
0.579 |
1.539 |
Lane11 |
0.494 |
0.177 |
2.8 |
0.005 |
0.148 |
0.841 |
shoulder |
-0.046 |
0.026 |
-1.8 |
0.072 |
-0.097 |
0.004 |
ln10shld |
-0.104 |
0.063 |
-1.67 |
0.096 |
-0.227 |
0.018 |
ln11shld |
-0.049 |
0.034 |
-1.45 |
0.147 |
-0.115 |
0.017 |
barrier |
5.253 |
2.057 |
2.55 |
0.011 |
1.221 |
9.286 |
drvwy_den |
0.013 |
0.007 |
1.85 |
0.065 |
-0.001 |
0.028 |
solid_CL |
0.544 |
0.232 |
2.35 |
0.019 |
0.090 |
0.999 |
dash1_CL |
0.913 |
0.358 |
2.55 |
0.011 |
0.211 |
1.614 |
curve |
0.292 |
0.081 |
3.6 |
< 0.001 |
0.133 |
0.451 |
_cons |
-5.167 |
0.523 |
-9.88 |
< 0.001 |
-6.192 |
-4.141 |
ln(Length) |
1 |
(exposure) |
— |
— |
— |
|
/lnalpha |
-0.5778 |
0.107196 |
— |
— |
-0.7879 |
-0.3677 |
alpha |
0.561129 |
0.060151 |
— |
— |
0.454797 |
0.692322 |
Log likelihood = -1524.6018
Number of Observations = 877
LR chi2(12) = 391.03
Prob > chi2 = 0
Pseudo R2 = 0.1137
Likelihood-ratio test of alpha=0: chibar2(01) = 363.82 Prob>=chibar2 = 0.000
— Indicates Not Available
Table 117. Multinomial logit model estimation results for total crashes (all types and severities)—base outcome: PDO.
Severity |
Variable |
Coefficient |
Standard Error |
z |
P > z |
95-Percent Confidence Interval |
|
0 |
(base outcome) |
— |
— |
— |
— |
— |
— |
1 |
ln_aadt |
0.103 |
0.190 |
0.540 |
0.588 |
-0.270 |
0.476 |
illinois |
-2.615 |
0.301 |
-8.700 |
0.000 |
-3.205 |
-2.026 |
|
Lane10 |
-0.993 |
0.914 |
-1.090 |
0.277 |
-2.784 |
0.797 |
|
Lane11 |
-0.125 |
0.546 |
-0.230 |
0.819 |
-1.195 |
0.945 |
|
shoulder |
-0.079 |
0.071 |
-1.110 |
0.267 |
-0.218 |
0.060 |
|
ln10shld |
0.216 |
0.173 |
1.250 |
0.211 |
-0.123 |
0.555 |
|
ln11shld |
0.023 |
0.088 |
0.260 |
0.797 |
-0.150 |
0.195 |
|
barrier |
-5.154 |
7.644 |
-0.670 |
0.500 |
-20.137 |
9.829 |
|
drvway_den |
-0.008 |
0.025 |
-0.330 |
0.739 |
-0.058 |
0.041 |
|
solid_CL |
-0.905 |
0.767 |
-1.180 |
0.238 |
-2.409 |
0.599 |
|
dash1_CL |
0.857 |
1.031 |
0.830 |
0.406 |
-1.163 |
2.877 |
|
curve |
-0.377 |
0.237 |
-1.590 |
0.111 |
-0.842 |
0.087 |
|
_cons |
-1.450 |
1.448 |
-1.000 |
0.316 |
-4.288 |
1.387 |
|
2 |
ln_aadt |
0.038 |
0.134 |
0.280 |
0.780 |
-0.226 |
0.301 |
illinois |
-0.007 |
0.257 |
-0.030 |
0.980 |
-0.511 |
0.498 |
|
Lane10 |
-1.107 |
0.630 |
-1.760 |
0.079 |
-2.341 |
0.127 |
|
Lane11 |
-0.172 |
0.368 |
-0.470 |
0.641 |
-0.893 |
0.550 |
|
shoulder |
0.082 |
0.053 |
1.540 |
0.124 |
-0.023 |
0.186 |
|
ln10shld |
0.133 |
0.152 |
0.880 |
0.380 |
-0.164 |
0.431 |
|
ln11shld |
-0.032 |
0.070 |
-0.450 |
0.650 |
-0.170 |
0.106 |
|
barrier |
1.097 |
4.403 |
0.250 |
0.803 |
-7.532 |
9.726 |
|
drvway_den |
-0.022 |
0.017 |
-1.300 |
0.192 |
-0.054 |
0.011 |
|
solid_CL |
-0.331 |
0.495 |
-0.670 |
0.504 |
-1.301 |
0.639 |
|
dash1_CL |
-0.595 |
0.771 |
-0.770 |
0.441 |
-2.107 |
0.917 |
|
curve |
-0.218 |
0.168 |
-1.300 |
0.194 |
-0.547 |
0.111 |
|
_cons |
-2.529 |
1.099 |
-2.300 |
0.021 |
-4.683 |
-0.375 |
|
3 |
ln_aadt |
0.257 |
0.168 |
1.530 |
0.126 |
-0.073 |
0.587 |
illinois |
0.613 |
0.393 |
1.560 |
0.119 |
-0.157 |
1.383 |
|
Lane10 |
-0.057 |
0.693 |
-0.080 |
0.934 |
-1.416 |
1.302 |
|
Lane11 |
0.443 |
0.481 |
0.920 |
0.357 |
-0.500 |
1.386 |
|
shoulder |
0.085 |
0.073 |
1.160 |
0.248 |
-0.059 |
0.229 |
|
ln10shld |
-0.069 |
0.215 |
-0.320 |
0.747 |
-0.491 |
0.352 |
|
ln11shld |
-0.097 |
0.096 |
-1.010 |
0.312 |
-0.284 |
0.091 |
|
barrier |
-1.734 |
5.888 |
-0.290 |
0.768 |
-13.273 |
9.806 |
|
drvway_den |
-0.022 |
0.019 |
-1.130 |
0.258 |
-0.060 |
0.016 |
|
solid_CL |
0.884 |
0.485 |
1.820 |
0.068 |
-0.067 |
1.836 |
|
dash1_CL |
-1.950 |
1.012 |
-1.930 |
0.054 |
-3.934 |
0.034 |
|
curve |
0.179 |
0.205 |
0.870 |
0.382 |
-0.222 |
0.580 |
|
_cons |
-5.679 |
1.441 |
-3.940 |
0.000 |
-8.503 |
-2.855 |
|
4 |
ln_aadt |
0.228 |
0.351 |
0.650 |
0.516 |
-0.460 |
0.917 |
illinois |
-0.130 |
0.700 |
-0.190 |
0.853 |
-1.501 |
1.242 |
|
Lane10 |
1.177 |
1.687 |
0.700 |
0.485 |
-2.129 |
4.484 |
|
Lane11 |
1.441 |
1.082 |
1.330 |
0.183 |
-0.681 |
3.562 |
|
shoulder |
0.207 |
0.156 |
1.320 |
0.186 |
-0.099 |
0.513 |
|
ln10shld |
-0.671 |
0.962 |
-0.700 |
0.486 |
-2.557 |
1.216 |
|
ln11shld |
-0.211 |
0.189 |
-1.110 |
0.265 |
-0.581 |
0.160 |
|
barrier |
-3.203 |
12.442 |
-0.260 |
0.797 |
-27.589 |
21.183 |
|
drvway_den |
-0.054 |
0.050 |
-1.090 |
0.276 |
-0.152 |
0.043 |
|
solid_CL |
0.672 |
1.006 |
0.670 |
0.504 |
-1.300 |
2.644 |
|
dash1_CL |
0.528 |
1.968 |
0.270 |
0.788 |
-3.330 |
4.386 |
|
curve |
0.403 |
0.425 |
0.950 |
0.343 |
-0.430 |
1.236 |
|
_cons |
-7.442 |
3.027 |
-2.460 |
0.014 |
-13.376 |
-1.508 |
|
Log likelihood = -1543.1747
Number of observation = 2397
LR chi2(48) = 198.440
Prob > chi2 = 0.000
Pseudo R2 = 0.060
— Indicates Not Available
Table 118. Multinomial logit model estimation results for fatal-plus-injury crashes (all types)—base outcome: possible injury.
severity_rev |
Variable |
Coefficient |
Standard Error |
z |
P > z |
95-Percent Confidence Interval |
|
1 |
(base outcome) |
— | — |
— |
— |
— |
— |
2 |
ln_aadt |
-0.273 |
0.231 |
-1.180 |
0.237 |
-0.726 |
0.180 |
illinois |
2.531 |
0.388 |
6.530 |
<0.001 |
1.771 |
3.290 |
|
Lane10 |
0.011 |
1.163 |
0.010 |
0.992 |
-2.267 |
2.290 |
|
Lane11 |
0.044 |
0.689 |
0.060 |
0.949 |
-1.305 |
1.394 |
|
shoulder |
0.163 |
0.091 |
1.780 |
0.075 |
-0.016 |
0.342 |
|
ln10shld |
-0.191 |
0.250 |
-0.770 |
0.444 |
-0.682 |
0.299 |
|
ln11shld |
-0.063 |
0.118 |
-0.530 |
0.594 |
-0.294 |
0.168 |
|
barrier |
10.549 |
9.177 |
1.150 |
0.250 |
-7.438 |
28.537 |
|
drvway_den |
-0.006 |
0.031 |
-0.200 |
0.840 |
-0.067 |
0.054 |
|
solid_CL |
0.618 |
0.866 |
0.710 |
0.475 |
-1.079 |
2.316 |
|
dash1_CL |
-1.659 |
1.326 |
-1.250 |
0.211 |
-4.258 |
0.940 |
|
curve |
0.147 |
0.304 |
0.490 |
0.627 |
-0.448 |
0.742 |
|
_cons |
0.604 |
1.785 |
0.340 |
0.735 |
-2.895 |
4.103 |
|
3 |
ln_aadt |
-0.057 |
0.263 |
-0.220 |
0.829 |
-0.572 |
0.459 |
illinois |
3.230 |
0.505 |
6.400 |
<0.001 |
2.240 |
4.220 |
|
Lane10 |
1.030 |
1.226 |
0.840 |
0.401 |
-1.372 |
3.432 |
|
Lane11 |
0.758 |
0.781 |
0.970 |
0.332 |
-0.773 |
2.289 |
|
shoulder |
0.184 |
0.111 |
1.660 |
0.096 |
-0.033 |
0.401 |
|
ln10shld |
-0.389 |
0.299 |
-1.300 |
0.192 |
-0.974 |
0.196 |
|
ln11shld |
-0.155 |
0.141 |
-1.100 |
0.273 |
-0.432 |
0.122 |
|
barrier |
7.135 |
10.398 |
0.690 |
0.493 |
-13.245 |
27.514 |
|
drvway_den |
-0.005 |
0.033 |
-0.150 |
0.884 |
-0.069 |
0.059 |
|
solid_CL |
1.739 |
0.882 |
1.970 |
0.049 |
0.010 |
3.468 |
|
dash1_CL |
-3.028 |
1.529 |
-1.980 |
0.048 |
-6.025 |
-0.030 |
|
curve |
0.542 |
0.336 |
1.610 |
0.107 |
-0.116 |
1.199 |
|
_cons |
-2.654 |
2.127 |
-1.250 |
0.212 |
-6.823 |
1.515 |
|
4 |
ln_aadt |
-0.047 |
0.406 |
-0.120 |
0.907 |
-0.843 |
0.748 |
illinois |
2.492 |
0.779 |
3.200 |
0.001 |
0.966 |
4.017 |
|
Lane10 |
2.603 |
2.183 |
1.190 |
0.233 |
-1.676 |
6.882 |
|
Lane11 |
1.840 |
1.247 |
1.480 |
0.140 |
-0.604 |
4.284 |
|
shoulder |
0.310 |
0.178 |
1.740 |
0.082 |
-0.039 |
0.660 |
|
ln10shld |
-1.145 |
1.307 |
-0.880 |
0.381 |
-3.707 |
1.417 |
|
ln11shld |
-0.289 |
0.217 |
-1.330 |
0.183 |
-0.715 |
0.137 |
|
barrier |
4.281 |
15.898 |
0.270 |
0.788 |
-26.879 |
35.442 |
|
drvway_den |
-0.041 |
0.057 |
-0.720 |
0.472 |
-0.152 |
0.070 |
|
solid_CL |
1.370 |
1.227 |
1.120 |
0.264 |
-1.035 |
3.775 |
|
dash1_CL |
-0.305 |
2.244 |
-0.140 |
0.892 |
-4.702 |
4.092 |
|
curve |
0.757 |
0.496 |
1.530 |
0.127 |
-0.216 |
1.730 |
|
_cons |
-4.744 |
3.408 |
-1.390 |
0.164 |
-11.423 |
1.936 |
|
Log likelihood = -464.69741
Number of Observations = 426
LR chi2(36) = 112.18
Prob > chi2 = 0
Pseudo R2 = 0.1077
— Indicates Not Available
