Research Article
Analysis of Work-Zone Crashes Using the Ordered Probit Model with Factor Analysis in Egypt
Table 7
The weight of each influential factor.
| Common factor | Weight of the common factor Ai | Factor | Absolute value | The weight of factor on corresponding common factor (normalization) Ak | Weight of factor WK |
| | 0.333 | Number of lane closures | 0.29 | 0.262 | 0.087 | | Type of surface construction | 0.279 | 0.252 | 0.084 | Advanced work-zone information | Road Character | 0.274 | 0.247 | 0.082 | | Road class | 0.265 | 0.239 | 0.080 |
| | 0.238 | Day of week | 0.399 | 0.346 | 0.082 | Visibility and traffic condition | Month | 0.381 | 0.330 | 0.078 | | Time | 0.373 | 0.324 | 0.077 |
| | 0.162 | Crash type | 0.587 | 0.420 | 0.068 | Crash characteristic | Number of the vehicles | 0.348 | 0.249 | 0.040 | | Vehicle type | 0.461 | 0.330 | 0.053 |
| | 0.152 | Gender | 0.6 | 0.526 | 0.080 | Driver skills | Age | 0.541 | 0.474 | 0.072 |
| Weather condition | 0.116 | Weather condition | 0.845 | 1.000 | 0.116 |
| Total | 1 | | | 5 | 1 |
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