Smart Cities Management By Integrating Sensors, Models And User Generated Contents
Free (open access)
719 - 730
A. Candelieri, F. Archetti, I. Giordani, G. Arosio & R. Sormani
This paper presents a further innovation of the collaborative decision support network LENVIS, developed in the homonymous European FP7 project (Localized ENVIronmental Services for all, www.lenvis.eu). The system is aimed at supporting water and air quality management and assessing the impact on health computed as emergency hospital admissions. LENVIS has been designed according to the Internet of Services paradigm: several web services, such as sensors data integrators, geographical information systems, predictive and simulation models, and data analytics tools, have been suitably combined to provide complex applications to different stakeholders. LENVIS has been already integrated with popular social networking platforms as Facebook, Twitter and Linkedin ensuring that its information can be assessed seamlessly during a user’s regular internet browsing activities and that the user generated contents can be processed by LENVIS analytics. The experiences referred to in this paper are from Milan, a city in Northern Italy with severe pollution problems, mostly due to Particulate Matters (PM), and three cities in Portugal, where the quality of bathing water affects the way in which population uses water resources. Keywords: smart cities, environment and healthcare management, decision support network, Markov models, social innovation, social networks.
Keywords: smart cities, environment and healthcare management, decision support network, Markov models, social innovation, social networks.