Illawarra Data Hub

Illawarra Data Hub

The SMART Infrastructure Facility (SMART) at the University of Wollongong has collaborated with AURIN to develop a data hub for the Illawarra region. This data hub allows AURIN users to query information on utility services, like water and electricity distribution, solid waste collection or transport patterns at various geographical levels in the Illawarra region.
The Illawarra Data Hub provides the most comprehensive and coherent dataset for AURIN users to engage into thorough analyses of socio-demographic and spatial drivers of demand on utilities, as well as interdependencies between utility services across the region. These new opportunities allow AURIN users to address critical issues attached to urban and regional research and to better inform region planning.


Project Overview

The overall objective of the Illawarra Data Hub project is to provide AURIN users with a comprehensive source of information to undertake spatial analyses of utility consumption patterns and their evolution in the region. Technically, the project team first negotiated and confirmed data access for AURIN users with primary data custodians (i.e. utility operators), and then made available licensed datasets and their associated metadata repositories through the AURIN Portal.

The Illawarra Data Hub enables remote access by the AURIN Portal to the regional infrastructure data warehouse developed by SMART. This data warehouse contains reliable datasets at various spatial scales like statistical areas (Level 1 and 2), postal areas or local government areas. Monthly or quarterly aggregates are available to AURIN users, depending on the primary data source.

A client-server link has been established between the SMART data warehouse (PostGRES/PostGIS) and the AURIN Portal, using GeoJSON transfer protocols. Data is available for visualisation or direct download by AURIN users.

Project output

The Illawarra Data Hub project delivers access to invaluable datasets and analytical capabilities to a wide range of end-users, for example:

  • Human Geographers: urban and regional development, have to take into account specific objectives, like better liveability or sustainability, while accommodating demographic challenges, like ageing or household re-composition. The Illawarra Data Hub provides the necessary information to demonstrate eventual links between climate, demographic and land use characteristics and consumption patterns over time.
  • Regional Planners: modern regional planning needs to take into account not only interdependencies between demographic, economic and land use changes, but also the impact of settlements and behavioural patterns on the resilience of current and future utility networks. The Illawarra Data Hub provides robust evidence for planners to project past and current demand patterns into various future scenarios.
  • Infrastructure Analysts: interdependencies between utility services not only originate from connectedness between networks but also, and increasingly, from synergies and trade-offs emerging from demand patterns. The Illawarra Data Hub provides infrastructure analysts with more evidence to gain insights into spatial, technical, social and economic drivers of these interdependencies.

Project Team

The SMART Infrastructure Facility (Simulation, Modelling, Analysis, Research and Teaching) is an important national research institution at the University of Wollongong purposed with developing integrated infrastructure planning and management. The Facility is undertaking interdisciplinary research to assist policymakers, business and the community to better understand the infrastructure challenges ahead. SMART is identifying solutions that will underpin a more competitive economy and improve livability for society.

With offices in Sydney CBD and the Facility in Wollongong, SMART provides strategic advice, research and skills training across the whole infrastructure industry. SMART’s key research groups include:

  1. Computer Simulation for Sustainable Transport Systems
  2. Advanced Geometrics for Regional and Urban Planning
  3. Computational Intelligence for Optimal Decision and Operation
  4. Geo-social Intelligence for Urban Resilience and Liveability
  5. Social Simulation for Demographic Dynamics and Transitions
Pasca Perez bwProf Pascal Perez
Research Leader / SMART Director
02 4252 8238

Project partners

Sydney Water NSW Bureau of Transport Statistics Endeavour Energy Redmondis

Further reading

  • SMART Infrastructure Dashboard (SID), University of Wollongong,
  • Perez, P, Wickramasuriya, R, Ma, J & Berryman, M 2013, ‘Using Geospatial Business Intelligence to Support Regional Infrastructure Governance’, Knowledge-based Systems, vol. 53, pp. 80-89
  • Wickramasuriya, R, Perez, P, Ma, J & Berryman, M, 2013, ‘Adapting Geospatial Business Intelligence for Regional Infrastructure Planning’ MODSIM 2013, Adelaide, Australia
  • Ma, J, Wickramasuriya, R, Safadi, M, Davies, T & Perez, P, 2013 ‘A Conceptual Method for Modeling Residential Utility Consumption Using Complex Fuzzy Sets’, IFSA (International Fuzzy Sets Association) World Congress, Edmonton, Canada
  • Wickramasuriya, R, Chisholm, L, Puotinen, M, Gill, N & Klepeis, P, 2010, ‘Parcel subdivision automation for agent-based land use modelling’, International Congress on Environmental Modelling and Software. Ottawa, Ontario, Canada