Utilising non-GIS data into GIS for infrastructure asset management and risk assessment

Utilising non-GIS data into GIS for infrastructure asset management and risk assessment

Infrastructure asset management (IAM) is a systematic approach to managing physical assets such as roads, bridges, buildings and utilities throughout their life cycles and the IAM team is responsible within government departments to optimise the performance, safety and longevity of infrastructure assets and maintain infrastructure assets effectively. IAM teams usually use emerging digital technologies such as Building Information Modelling (BIM), GIS and related systems for various purposes including asset evaluation, defect analysis, data modelling and visualisation, data sharing and making informed decisions. The IAM team may engage with construction engineering contractors to execute relevant projects. A well-developed infrastructure information management system using emerging technologies such as GIS should include storing essential asset data, integration of multiple data sources, analysis and detection of network faults, and facilitating effective risk assessment and management. On the other hand, a gap exists in extracting infrastructure asset details from construction contractors, which are essential for asset management and risk assessment. This research project addresses this gap in knowledge by developing a conceptual design model which establishes connections with external sources to capture asset details into enterprise GIS servers. This research has utilised a design science research approach and developed a model to cover this research gap by creating applications that automate the conversion of non-GIS data into GIS systems which can be customised for different cities or regions. As a result, this model and output of GIS data enable IAM teams to display all relevant objects within specific areas on the map, examine them in detail, assess and assign ratings to each object, as well as search for all objects based on categories or names.

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