GISualisation: a tool for visually supporting planning processes

The evaluation of quality of life in cities can be supported by the analysis of data coming from different sources and describing different aspects such as economic, social, environmental, energy, housing or mobility issues. Nevertheless, the analysis of such big amounts of data is difficult so that only expert technicians can access to their inner contents. Furthermore, the outcomes of these analyses are often presented in static outcomes which reproduce the reasoning of technicians who have not expertise in urban studies. Thus, planners and decision-makers have to base their own choices on given outcomes without opportunities for personally investigating the inner contents of data. In order to facilitate the data exploration and readability by non-technicians, a GIS-based visualization tool, namely “GISualisation”, has been realized to give to both planners and actors involved in planning processes, a decision support system useful to visualize the inter-relations between data which describe cities. The tool is a web-based interactive visual tool, which works on geo-referenced dynamic maps, currently created with free Web GIS applications. GISualisation displays data on a map and offers the possibility to select and filter data by single attributes, allowing users to interact readily with large databases and customise the visualisation of information. Thus, the tool offers a simple interface to visualise GIS data on the basis of users’ requests, providing a support for planners and decision-makers to explore data and detect issues of inefficiency, ineffectiveness or critical areas which needs further reasoning on their planning or design. Furthermore, it can be used in collaborative and participatory session so to improve the information sharing among participants. Depending on the case study, the tool can be adapted and customized to visualise different type of data, ensuring user-friendliness and possibility to explore the relationships between data. GISualisation has already been applied in investigating inefficiencies in a public transport system (Pensa, Masala, Arnone, & Rosa, 2013), in studying pedestrian paths in an urban area, in analysing urban population health and in the evaluation of social housing projects. Further developments will include the integration with the interactive Visualisation Tool (InViTo) (Pensa, Masala, & Lami, 2013; Pensa & Masala, 2014) and the possibility to include real-time data feeds. Through GISualisation, data on quality of life can be investigated and visually analysed so to offer a new tool to actors involved in planning process for detecting critical areas and improving the urban planning process.