BIM for Underground Stations: Supporting Decision Making on Lifecycle Stages

Urban underground infrastructures are valuable assets and thus demanding effective planning, construction and maintenance. While enabling greater visibility and reliability into the processes and subsystems of underground construction, applications of BIM, machine learning and computer vision in underground construction represent different sets of opportunities and challenges from their use in above-ground construction. This body of work presents on a study of BIM for underground stations driven by desire for efficiency and interoperability to improve decision making for construction lifecycle. The findings qualitatively demonstrate the benefits and challenges of BIM in facilitating the digital transition of tunnelling and underground construction.