Researcher Develops Digital System To Bridge Gap Between Infrastructure Design, Lifecycle Management
The construction and infrastructure sector has long grappled with a paradox: while digital technology dominates the design phase of buildings, roads, and bridges, critical information is routinely lost once physical construction begins. This disconnect between design data and operational management represents a significant inefficiency in an industry increasingly reliant on sophisticated digital modeling tools. Oluwatoyin […]
The construction and infrastructure sector has long grappled with a paradox: while digital technology dominates the design phase of buildings, roads, and bridges, critical information is routinely lost once physical construction begins. This disconnect between design data and operational management represents a significant inefficiency in an industry increasingly reliant on sophisticated digital modeling tools.
Oluwatoyin Lawal, a thought-leader and researcher who completed his PhD at the University of Florida in May 2025, has co-invented an Asset Management System that addresses this persistent challenge. Developed alongside his doctoral supervisor, the Urban Asset Lifecycle Information Model creates a continuous link between digital infrastructure models and their physical counterparts, ensuring that lifecycle information remains accessible from initial design through construction, operation, and eventual decommissioning.
The innovation emerged as a byproduct of Lawal’s doctoral research, which examined how cutting-edge developments in building informatics could transform infrastructure management. His work recognized that while virtually every built structure begins as a digital model, this foundational information—which he describes as the asset’s DNA—is typically discarded once construction concludes. The resulting gap leaves facility managers and operators without access to critical design data that could inform maintenance decisions, renovation planning, and long-term asset performance.
Lawal’s asset management solution leverages recent advances in City Information Modeling, Digital Twins, and Artificial Intelligence to keep initial design models active throughout an asset’s entire lifespan. Rather than treating the digital model as a temporary design tool, the system transforms it into a living repository that evolves alongside the physical infrastructure it represents. This approach enables continuous data flow between the digital and physical realms, supporting more informed decision-making at every stage of an asset’s lifecycle.
The Urban Asset Lifecycle Information Model incorporates Artificial Intelligence for improved intuition in managing existing infrastructure, enabling the system to analyze patterns, predict maintenance needs, and optimize resource allocation. Additionally, the integration of Internet-of-Things technology facilitates seamless information flow between the digital and physical worlds, allowing real-time monitoring and responsive management of infrastructure assets.
The significance of this work was recognized when Lawal received the ARCC King Students Medal for outstanding research in 2025. The award acknowledged his contributions to digital infrastructure asset management and his innovative application of emergent technologies such as Digital Twins and Artificial Intelligence to solve longstanding industry challenges.
His research addresses critical inefficiency in infrastructure development. Despite technology’s pervasive role in contemporary life, the construction sector has not fully leveraged digital tools beyond the design phase. This underutilization means that valuable information captured during planning and design becomes inaccessible precisely when it would prove most useful—during the decades-long operational phase when maintenance, upgrades, and performance monitoring occur.
The system’s implications extend particularly to developing countries where infrastructure deficits remain substantial. In these contexts, the Urban Asset Lifecycle Information Model offers a pathway to prolonging infrastructure lifespan by providing an interface that can pre-analyze stress on assets, predict potential failures, and prevent damages before they occur. This predictive capability becomes especially valuable in resource-constrained environments where reactive maintenance proves both costly and disruptive.
Lawal now works with a firm specializing in infrastructure solutions, where he anticipates deploying his expertise on a broader scale. This transition from academic research to industry application represents an opportunity to implement his innovations across diverse infrastructure projects, potentially transforming how organizations approach asset management in practice.
The convergence of his leadership development background with technical expertise in infrastructure management reflects an increasingly important trend: the recognition that technological innovation alone cannot drive industry transformation without parallel attention to organizational capacity, change management, and leadership. His interdisciplinary perspective positions him to address not only the technical dimensions of infrastructure management but also the human and organizational factors that determine whether innovative solutions achieve meaningful adoption.
As cities worldwide confront aging infrastructure and mounting pressure to optimize asset performance, solutions that bridge the gap between design and operations become increasingly critical. Lawal’s Urban Asset Lifecycle Information Model offers a framework for ensuring that the substantial investment in digital design translates into long-term operational value, transforming how infrastructure assets are conceived, built, and managed throughout their lifespans.