'The Political Science Association of Kasetsart University'
Abstract
This study investigates how local agencies can allocate resources effectively to manage deteriorating urban road infrastructure through proactive maintenance strategies, public-private partnerships (PPPs), and data-driven decision-making. Addressing the growing challenges of aging infrastructure, limited budgets, and insufficient maintenance planning, the research highlights the need for practical guidance in implementing these strategies at the local level. A systematic literature review analyzed research on proactive maintenance, PPPs, and data-driven management practices, focusing on their contributions to sustainability, cost efficiency, and optimized resource allocation. Findings confirm that proactive maintenance reduces long-term costs, extends infrastructure lifespan, and minimizes costly reactive repairs. PPPs share financial and operational risks, promote private sector innovation, and encourage sustainable practices, while predictive analytics improve planning by forecasting maintenance needs and reducing disruptions. Despite these benefits, challenges such as political resistance, data limitations, and lack of exploration of PPPs in long-term maintenance hinder effective planning. Policymakers are encouraged to prioritize proactive maintenance and integrate data analytics to ensure efficient use of public funds
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