Dr Soheil Sabri1, Mr Ged Griffin1, Mr Doug Bowles2, Dr Yiqun Chen1, Professor Abbas Rajabifard1
1The University of Melbourne, Department of Infrastructure Engineering, Centre for Spatial Data Infrastructures and Land Administration and Centre for Disaster Management and Public Safety, PARKVILLE, Australia, 2Swinburne University of Technology, Melbourne, Australia
The spatio-temporal link of criminal offending has been recognised a key area of research within criminology and this has led to the development of the concept of spatial criminology. However, despite the large amount of digital data available, the major problem is limited capability for data sources to facilitate reliable and timely crime analysis for decision making. Recent research and development on Spatial Data Infrastructures (SDIs) has addressed this challenge by facilitating multi-sourced and multi-dimensional data access and integration. Yet, there is a lack of research in spatial criminology on how the current SDIs can be leveraged to support more realistic and timely analysis and decision making. This paper aims to develop a conceptual framework as the road map for the next generation of spatial criminology decision support systems. Based on data available at the Australian Urban Research Infrastructure Network (AURIN), crime data custodians, local governments, and Australian Bureau of Statistics (ABS) a demonstrator has been developed in an Intelligent Decision Support System (IDSS) to support national macro and meso level criminological analysis. The demonstrator accesses and integrates a range of data sets through web services to help researchers develop their own tools and visualise potential offending hotspots and discover underlying drivers of this behaviour. The paper concludes by proposing the road map for development of next generation spatial criminology decision support systems for more advanced analytical products to establish crime risk and resilience ratings as the features of urban liveability indices.
Soheil Sabri is an Urban Planner and Spatial Scientist. He holds a PhD and Master degree in Urban Planning and worked as a consultant, senior lecturer, and researcher in urban planning and spatial analysis. He is currently a Research Fellow in Urban Analytics in the Centre for SDIs and Land Administration at The University of Melbourne. His research focuses on enabling spatial information and technological innovation in smart urban planning and design to improve urban quality of life. Soheil has recently managed developing an Urban Analytics Data Infrastructure as a new generation of Spatial Data Infrastructures.