A platform for research: civil engineering, architecture and urbanism
A platform for research: civil engineering, architecture and urbanism
Pavement maintenance and rehabilitation budget allocation considering multiple objectives and multiple stakeholders
Highways play an important role in economic and social development at both national and regional levels. As a major component of highway infrastructure, pavements require significant funding to be maintained at an acceptable level of service. Allocating the budget for pavement maintenance and rehabilitation (M&R) is a complex decision-making process for a highway agency. This allocation of funding across M&R activities and across districts becomes a challenging process with the presence of multiple stakeholders, constrained budgets, customer satisfaction, agencies' strategic goals, and deteriorating pavement conditions. This paper proposes an extended goal-programming framework for allocating the available pavement M&R budget across multiple management districts of a highway agency over its planning horizon. A case study of applying the proposed model is conducted using data from the Texas Department of Transportation (TxDOT), where five objectives are considered: maximise the proportion of pavement sections with best conditions, minimise the proportion of pavement sections with worst conditions, minimise crash severities through pavement M&R, minimise energy consumption due to M&R activities, and maximise the total lane mile of pavement sections receiving M&R treatments. A sensitivity analysis is also conducted to examine the effect of different parameter values on the results of budget allocation.
Pavement maintenance and rehabilitation budget allocation considering multiple objectives and multiple stakeholders
Highways play an important role in economic and social development at both national and regional levels. As a major component of highway infrastructure, pavements require significant funding to be maintained at an acceptable level of service. Allocating the budget for pavement maintenance and rehabilitation (M&R) is a complex decision-making process for a highway agency. This allocation of funding across M&R activities and across districts becomes a challenging process with the presence of multiple stakeholders, constrained budgets, customer satisfaction, agencies' strategic goals, and deteriorating pavement conditions. This paper proposes an extended goal-programming framework for allocating the available pavement M&R budget across multiple management districts of a highway agency over its planning horizon. A case study of applying the proposed model is conducted using data from the Texas Department of Transportation (TxDOT), where five objectives are considered: maximise the proportion of pavement sections with best conditions, minimise the proportion of pavement sections with worst conditions, minimise crash severities through pavement M&R, minimise energy consumption due to M&R activities, and maximise the total lane mile of pavement sections receiving M&R treatments. A sensitivity analysis is also conducted to examine the effect of different parameter values on the results of budget allocation.
Pavement maintenance and rehabilitation budget allocation considering multiple objectives and multiple stakeholders
Amin, Md Al (author) / Pan, Shidong (author) / Zhang, Zhanmin (author)
2023-01-28
Article (Journal)
Electronic Resource
English
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