FROM DIGITIZATION TO DIGITAL TRANSFORMATION IN INFRASTRUCTURE ASSET MANAGEMENT: CHALLENGES AND FUTURE DIRECTION

Effective public infrastructure asset management is essential for ensuring the safety, sustainability, and resilience of societal systems.As infrastructure systems age and grow in complexity, data-driven approaches have become increasingly vital in supporting informed decision-making and resource optimization.However, effective infrastructure asset management planning is hindered by numerous challenges, such as financial constraints, data deficiencies, and technological barriers.This study examines the digital transformation of infrastructure asset management in the Republic of Korea, focusing on the key barriers and future directions for improvement.In particular, this paper analyzes these issues with a specific focus on data acquisition and analysis problems, highlighting the gaps in data collection, processing, and usage in decision-making.The findings provide valuable lessons on improving data quality, addressing data silos, advancing real-time monitoring, and fostering analytical capabilities.This study concludes with actionable recommendations by identifying areas to advance infrastructure management practices, such as the importance of component-level data collection, centralized data platforms, standardized governance, and global collaboration.The results of this study contribute to the expanding body of knowledge on digital asset management and provide policymakers and practitioners with a roadmap for enhancing infrastructure resilience through data-driven strategies.

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Publication Details

Published
2025-06-17
DOI
https://doi.org/10.22260/ccc2025/0048
Primary Topic
BIM and Construction Integration
Type
article
Field-Weighted Citation Impact
0.00

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article

FROM DIGITIZATION TO DIGITAL TRANSFORMATION IN INFRASTRUCTURE ASSET MANAGEMENT: CHALLENGES AND FUTURE DIRECTION

Hongjo Kim, Seungwon Baek, Jonghyeon Ahn, M. Kim et al.
BIM and Construction Integration
article

FROM DIGITIZATION TO DIGITAL TRANSFORMATION IN INFRASTRUCTURE ASSET MANAGEMENT: CHALLENGES AND FUTURE DIRECTION

Hongjo Kim, Seungwon Baek, Jonghyeon Ahn, M. Kim, Tae-Hyun Kyung
article en

Abstract

Effective public infrastructure asset management is essential for ensuring the safety, sustainability, and resilience of societal systems.As infrastructure systems age and grow in complexity, data-driven approaches have become increasingly vital in supporting informed decision-making and resource optimization.However, effective infrastructure asset management planning is hindered by numerous challenges, such as financial constraints, data deficiencies, and technological barriers.This study examines the digital transformation of infrastructure asset management in the Republic of Korea, focusing on the key barriers and future directions for improvement.In particular, this paper analyzes these issues with a specific focus on data acquisition and analysis problems, highlighting the gaps in data collection, processing, and usage in decision-making.The findings provide valuable lessons on improving data quality, addressing data silos, advancing real-time monitoring, and fostering analytical capabilities.This study concludes with actionable recommendations by identifying areas to advance infrastructure management practices, such as the importance of component-level data collection, centralized data platforms, standardized governance, and global collaboration.The results of this study contribute to the expanding body of knowledge on digital asset management and provide policymakers and practitioners with a roadmap for enhancing infrastructure resilience through data-driven strategies.

National Research Foundation, National Research Foundation of Korea, Ministry of Science and ICT, South Korea
Industry, innovation and infrastructure
Openalex Percentile: Top 78%
BIM and Construction Integration
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FROM DIGITIZATION TO DIGITAL TRANSFORMATION IN INFRASTRUCTURE ASSET MANAGEMENT: CHALLENGES AND FUTURE DIRECTION — Hongjo Kim, Seungwon Baek, et al. · (2025) | TGRS Research Map | TGRS