2025/07/06 by Md Al Amin, Randy B Machemehl, Randy B. Machemehl
Engineering · Social Sciences · #Infrastructure Maintenance and Monitoring #Smart Parking Systems Research #Transportation Planning and Optimization
paper · doi:10.1177/03611981251341350
openalex publication_date 2025/07/06 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/29
Highway authorities create and implement pavement maintenance and rehabilitation (M&R) programs to keep pavement conditions at a suitable level. Highway agencies generally face financial uncertainty for initiatives involving pavement repair and restoration because of limited resources and fluctuating government policies. Furthermore, natural and manufactured hazards, as well as rising concerns about inequity and ecology in the face of limited resources, make maintaining the pavement network at user-satisfactory standards significantly more difficult. In addition, recent research has found evidence of inequity and social injustice in tranportation policy and decision making. In this paper, a pavement M&R scheduling and budget allocation model is explored, with consideration in the formulation gives to maximization of average network condition, minimization of a horizontal equity measure (Gini index), and prioritization of pavement M&R based on social vulnerability. The uncertainty of available budget is modeled as a chance-constrained optimization problem. The proposed model provides an M&R program for the pavement network that achieves certain levels of equity vertically and horizontally. A case study examining the pavement network from Rockwall, Texas is conducted. The solutions for different chances of budget constraint are presented. Also, the value of the system to the decision maker is discussed. The results show that the proposed model is a practical and flexible way to include equity considerations in the management of pavement maintenance at the network level.