Utilização de ferramenta colaborativa no mapeamento de áreas propícias para o provimento de tecnologia sociais em saneamento

Abstract

Unplanned population growth causes major disruptions to urban development, especially for inefficient basic sanitation. Today, urbanization and its phenomena can be studied more efficiently through geographic information systems. Furthermore, the advancement of information technology has also promoted the popularization of the use of cartography and geoprocessing, which are intuitively used in smartphones. With this power, cartography came to be used as an instrument of self-assertion in the spatial context, translated by the claim of rights by common people. This, added to the growth of experiences in social technologies and the need for greater popular participation in government decisions, justified the elaboration of this research. In this sense, this work proposed the use of a collaborative tool for the development of social technologies in sanitation, through the mapping of the most needy or proper areas, promoting a reflection on the use of geospatial data made available in this work by communities and social organizations. The characterization of the research was defined as a qualitative-quantitative approach. The methodology began with the collection of geospatial information and data provided by official agencies and other studies to map the concentration of subnormal agglomerates in the neighborhoods of Belém. Subsequently, the situation of basic sanitation in the city was analyzed and, with the information extracted, the neighborhoods of Belém with the most deficits were weighted so that, together with the inhabited islands, was elaborate the map of the proper areas for the development of social sanitation technologies. As a result of the mappings, 26 neighborhoods and 17 islands were selected, within the municipal limits. Finally, it was also discussed by whom and how the information generated could be used in the municipality and made available through a link and QR Code, access to the collaborative tool Google My Maps, with all the geospatial data used in the research.