Research Article
Application of the Empirical Bayes Method with the Finite Mixture Model for Identifying Accident-Prone Spots
Table 2
Modeling results of NB models for Periods 1 and 2.
| Estimates | Period 1 (years 1997 and 1998) |
Period 2 (years 1999, 2000, and 2001) | Value | SE | Value | SE |
| Intercept | −7.836 | 0.497 | −8.116 | 0.453 |
Ln(average daily traffic) | 1.093 | 0.054 | 1.137 | 0.048 | Lane width | −0.044 | 0.020 | −0.055 | 0.018 | Total shoulder width | −0.013 | 0.004 | −0.012 | 0.004 | Curve density | 0.026 | 0.014 | 0.024 | 0.013 | | 0.825 | 0.062 | 0.792 | 0.049 | Log-likelihood | 2924.490 | 3409.444 | AIC | 5860.980 | 6830.880 | BIC | 5892.850 | 6862.763 |
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SE: standard error.
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