Publication Details

Wickramasuriya Denagamage, R. C., Perez, P., Ma, J. & Berryman, M. J. (2013). Adapting geospatial business intelligence for regional infrastructure planning. In J. Piantadosi, R. S. Anderssen & J. Boland (Eds.), 20th International Congress on Modelling and Simulation (pp. 1-7). Australia: The Modelling and Simulation Society of Australia and New Zealand Inc.

Link to publisher version (URL)

International Congress on Modelling and Simulation


Business Intelligence (BI) has traditionally been used in organizations as a strategic tool to maximize profit. When coupled with Geographic Information Systems, however, BI can be transformed into a cutting edge decision support system for planning local and regional areas, as we demonstrate in this paper. Local and regional governments often face a major challenge in terms of developing a holistic view upon disjointedly operated utility services in their jurisdictions due to data silos. This limitation has become a serious impediment to infrastructure planning and regional adaptation to changes. Geo-BI provides tools to manage data coming from multiple and disparate sources, and visualize them through online interactive userinterfaces. The SMART Infrastructure Dashboard (SID) is an innovative Geo-BI solution that includes an open-source ETL (Extract, Transform and Load) toolkit to handle various datasets, a spatially-enabled data warehouse hosted in PostgreSQL/PostGIS and proprietary BI software for creating and administering analytical reports and dashboards. SID allows planners and policy makers to analyze the interplay between the use of infrastructure services, demographics and weather parameters across multiple spatial and temporal scales. Furthermore, SID enables planners to run various what-if scenarios related to projected consumption patterns, service vulnerability of utility networks, and transportation demand management. Future research involves enabling the analysis of networks of networks through SID to understand the propagation of cascading failures and benefits in interconnected utility networks.