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==== Urban Computing ==== | ==== Urban Computing ==== | ||
- | Lorem ipsum dolor sit amet, consectetur adipiscing elit. Quisque convallis mauris eget nisl bibendum elementum. Morbi et dui magna. Duis pretium turpis sed lectus consequat, in porttitor libero pulvinar. Proin consequat urna eget molestie finibus. Curabitur pretium porta mi, at laoreet libero venenatis sit amet. Cras congue nisl ac lobortis congue. Vestibulum nulla velit, auctor sit amet rutrum eu, congue at nulla. | + | The expression //Urban Computing// designates the process of acquiring, integrating and analyzing large volumes of heterogeneous data, generated by various sources in the urban space. These sources range from environmental sensors to official governmental data, and include the direct participation of citizens in crowdsourcing or volunteered information initiatives. Data and information managed in this process are directed to the understanding and solution of urban problems that are typical of large cities in Brazil and abroad, such as mobility, public health, air and sound pollution, water and energy consumption, and many others. There is a three-fold concern: on improving the urban environment for human (co)existence, on improving urban quality of living, and on improving the conditions for the operation, by governmental authorities and public utility companies, of the various systems that comprise the city. Our objectives in Urban Computing research is to establish a qualified cycle for collection, integration and use of geographic information to the benefit of society, fostering the evolution of the state-of-the-art in topics along this cycle, such as spatial data infrastructures. Research outcomes are applied to typical urban problems, with an emphasis on the use of geographic location as a factor for data integration and for communicating findings, as feedback to the society. |