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Factors Affecting Maintenance Probability and Resurfacing Thickness Based on the Pavement Management System
2020
Advances in Civil Engineering
In order to investigate the key factors and analyze their effects on maintenance and rehabilitation (M&R) strategies, data for 2495 pavement sections were collected from the pavement management system (PMS), including pavement performance data, traffic data, material property data, and M&R record data. Logistic regression was first employed to explore the influential factors on maintenance probability. Afterward, the classification tree model was established to find out the key factors on
doi:10.1155/2020/8817081
fatcat:coozndc7wndbxapzt3fqtuikkm