Abstract
Abstract This paper presents the development and implementation of an information technology (IT)-based tunnelling risk assessment system (IT-TURISK). IT-TURISK has been developed in a geographic information system (GIS) environment with a capability of performing first-order assessment of tunnelling induced third party impact on surrounding environment within the framework of artificial intelligence (AI) technique. The main emphasis in this study was placed in developing a GIS framework that can be used in tunnelling risk assessment. The developed system permits users to identify potential risk areas by performing computationally intensive tunnelling induced third party impact assessment that takes full advantage of the GIS and the AI technologies. The developed system was successfully applied to a Seoul Metro subway extension project. This paper describes the concept and details of the IT-TURISK development and implementation.
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