Research Article
Statistical Safety Performance Models considering Pavement and Roadway Characteristics
Table 3
Correlation coefficients between predictor variables (1,811 segments).
| | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 | 13 | 14 |
| (2) Ln_Lgth | 1 | −0.09 | 0.13 | 0.06 | 0.01 | 0.04 | 0.01 | −0.11 | −0.37 | −0.03 | 0.14 | 0.09 | 0.18 | (3) Ln_AADT | −0.12 | 1 | −0.11 | −0.27 | 0.08 | 0.07 | 0.06 | 0.28 | 0.41 | 0.48 | 0.10 | −0.02 | 0.05 | (4) Lq_MPD | 0.13 | −0.01 | 1 | −0.23 | −0.03 | −0.13 | −0.08 | −0.63 | −0.12 | −0.13 | 0.03 | −0.08 | 0.03 | (5) Av_Frict | 0.07 | −0.27 | −0.21 | 1 | −0.10 | −0.09 | −0.14 | 0.20 | −0.17 | −0.02 | −0.03 | 0.01 | −0.07 | (6) Av_Grad | −0.05 | 0.03 | −0.02 | −0.09 | 1 | 0.04 | 0.02 | 0.02 | 0.07 | 0.01 | 0.04 | 0.04 | 0.06 | (7) Lg_Dgcv | −0.01 | −0.02 | −0.05 | −0.03 | 0.01 | 1 | 0.62 | 0.09 | 0.21 | −0.16 | −0.06 | 0.16 | 0.15 | (8) Ln_Lgcv | 0.01 | 0.06 | −0.09 | −0.16 | 0.00 | 0.40 | 1 | 0.07 | 0.23 | −0.19 | −0.06 | 0.15 | 0.13 | (9) PvType | −0.10 | 0.30 | −0.52 | 0.15 | 0.03 | 0.04 | 0.07 | 1 | 0.14 | 0.25 | −0.02 | 0.04 | 0.01 | (10) RrloUrb | −0.38 | 0.42 | −0.09 | −0.19 | 0.06 | 0.12 | 0.23 | 0.13 | 1 | 0.09 | −0.17 | 0.06 | 0.03 | (11) ExsMdn | −0.04 | 0.56 | −0.02 | −0.02 | 0.00 | −0.16 | −0.20 | 0.24 | 0.09 | 1 | 0.16 | −0.04 | 0.00 | (12) ExsShd | 0.15 | 0.08 | 0.06 | −0.03 | 0.04 | −0.06 | −0.06 | −0.02 | −0.17 | 0.16 | 1 | −0.09 | −0.08 | (13) RnkIRI | 0.11 | −0.01 | −0.09 | 0.01 | 0.04 | 0.09 | 0.14 | 0.05 | 0.05 | −0.04 | −0.08 | 1 | 0.56 | (14) RnkRut | 0.19 | 0.06 | 0.05 | −0.07 | 0.05 | 0.09 | 0.13 | 0.02 | 0.03 | −0.00 | −0.08 | 0.57 | 1 |
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Note. 1. The abbreviation of variables is consistent with Table 2. 2. Lower triangular cells report Pearson’s correlation coefficient and upper triangular cells report Spearman’s rank correlation. 3. Significance indicated with -value: <0.01, <0.05, and <0.1. |