CONSISTENCY AND RELEVANCE OF VGI AVAILABLE FROM SOCIAL NETWORKS FOR EMERGENCY MITIGATION AND MUNICIPAL MANAGEMENT
- 1Department of Mathematics - Geomatic Engineering Group, Faculty of Science & Technology, University of Coimbra, Apartado 3008, 3001-501 Coimbra, Portugal
- 2Institute for Systems Engineering & Computers at Coimbra (INESCC), Rua Sílvio Lima - Edifício DEEC, S.3.4, 3030-290 Coimbra, Portugal
- 3Setúbal School of Technology, Campus do IPS, Estefanilha, 2914-504 Setúbal, Portugal
- 4CISUC - Department of Informatics Engineering, Faculty of Science & Technology, University of Coimbra, Rua Sílvio Lima, 3030-290 Coimbra, Portugal
- 5Institute for Systems Engineering & Computers, Research and Development at Lisboa (INESC-ID), Rua Alves Redol, 9 (office 435), 1000-029 Lisbon, Portugal
Keywords: Volunteered Geographic Information (VGI), Flickr, Emergency Mitigation, Municipal Management, Accuracy
Abstract. Volunteered geographical information (VGI) is an increasing source of data for many applications. In order to explore some of these sources of data, an algorithm was conceived and implemented in the ExploringVGI platform enabling the collection of georeferenced data from collaborative projects that provide an Application Programming Interface (API). This paper presents a preliminary study to evaluate the consistency and relevance of VGI extracted from Flickr platform for emergency mitigation and municipal management. The study carried out was based on data extraction and analysis with keywords related to emergency events (“Accident”, “Flood” and “Fire apartment”), and municipal management (“Graffiti” and “Homeless”) in four European cities (Frankfurt, Lisbon, London, and Rome). The proposed approach sets up a region of interest on a map, selects one or more keywords for the search, and carries out a search using the Flickr API. Data detected and extracted were then loaded into a database and further analysed to verify whether they were consistently obtained through consecutive searches at different locations. A statistical analysis performed on data collected for each case provided us with: the total number of data collected for each keyword and location; their relevance in terms of search goal; and the quality of the associate geolocation of the post. Results obtained illustrate the effectiveness of the approach when applied to different scenarios, which contributes to assess the role that VGI available on the Web may have in different events depending on the specific context of a geolocation/keyword(s) combination.