Table 1.
Variable selection of deterioration prediction model for concrete beam bridge.
Table 2.
Number of bridges used in different studies.
Fig 1.
Prediction model of deterioration state of concrete slab bridge.
Table 3.
Variable types and roles.
Table 4.
Confusion matrix.
Table 5.
Evaluation results of ML prediction model for concrete beam bridge.
Fig 2.
Optimal path of bridge inspection based on prediction of bridge deterioration.
Table 6.
Importance of input variables in DT model of concrete beam bridge.
Table 7.
Summary of P values from the Mann‐Whitney U test.
Table 8.
Chi-square and Cramer’s V test results.
Fig 3.
Current highway bridge inspection scheduling process.
Fig 4.
Improved highway bridge inspection scheduling process.
Table 9.
The prediction results of DT model.
Table 10.
Chi-square and Cramer’s V test results between adjacent asset conditions.
Table 11.
Example of concrete beam bridge having co-existing deteriorations.