This paper deals with the convergence of Social Media and Geographic Information and discusses its potential as useful source of knowledge in spatial planning. With the underlying assumption of the acknowledgement of the innovation that digital geographic information- including Spatial Data Infrastructures (SDI) and Volunteered Geographic Information (VGI)- is already bringing to urban and regional planning, the authors argue Social Media may also play an important role due to both their pervasiveness in content exchange and their emerging spatial convergence. To support this thesis, a review of best practice examples in different domain is presented in order to understand what tools are currently available and what kind of knowledge can be extracted from Social Media. On the base of this analysis, the paper present an original user-friendly tool developed by the authors to extract information from Social Media and to perform Spatial-Temporal Textual (STTx) analysis. The paper ends with some brief conclusions on the opportunities for the application of STTx analysis in urban and regional planning

Campagna, Michele

Massa, Pierangelo

REAL CORP

Social Media Geographic Information:

Current developments and opportunities in urban and regional planning

In the last decade unprecedented wealth of digital (geographic) information has been made available to planners to support analysis, design and decision-making. On the one hand, developments in Spatial Data Infrastructures (SDI) (i.e. INSPIRE Directive 2007/02/EC in Europe) are fostering the access and reuse of authoritative Geographic Information (GI) according to common data, technology, and policy standards (Campagna and Craglia, 2012). On the other hand, advancement in geobrowsers and mobile technologies enabled citizens acting as volunteer sensors (Goodchild, 2007) to crowdsource GI real-time in a bottom-up fashion. More recently, widespread social media success favoured the diffusion of geo-referenced multimedia (Sui and Goodchild, 2011), or Social media Geographic Information (SMGI). The latter can be considered an innovative Big Data source, inasmuch as traditional data collection and spatial analysis techniques may be not fully suitable for eliciting the full knowledge potential out of them. Furthermore, this potential may be considered still limited for the public users both in terms of access and available analysis methods and tools. Accordingly new methods and tools should be developed. In the light of these premises, the authors present an assessment framework for social media data analysis methods and tools, with the aims of defining the current state of development as well as opportunities for decision-support in spatial planning. The poster illustrates the assessment framework, referring to real world case studies documented in literature and proposes an original methodology for social media data spatial analysis (i.e. spatio-temporal-textual analysis) developed by the authors, addressing pitfalls in existing practices

MASSA, PIERANGELO

CAMPAGNA, MICHELE

Archivio istituzionale della ricerca - Università di Cagliari