A People-Oriented Paradigm for Smart Cities
Most works in the literature agree on considering the Internet of Things (IoT) as the base technology to collect information related to smart cities. This information is usually offered as open data for its analysis, and to elaborate statistics or provide services which improve the management of the city, making it more efficient and more comfortable to live in. However, it is not possible to actually improve the quality of life of smart cities’ inhabitants if there is no direct information about them and their experiences. To address this problem, we propose using a social and mobile computation model, called the Internet of People (IoP) which empowers smartphones to recollect information about their users, analyze it to obtain knowledge about their habits, and provide this knowledge as a service creating a collaborative information network. Combining IoT and IoP, we allow the smart city to dynamically adapt its services to the needs of its citizens, promoting their welfare as the main objective of the city.
This work has been partially supported by the Spanish Ministry of Science, under project TIN2015-67083-R.
- 1.Nam, T., Pardo, T.A.: Conceptualizing smart city with dimensions of technology, people and institutions. In: Proceedings of the 12th Annual International Digital Government Research Conference: Digital Government Innovation in Challenging Times, Maryland, USA, pp. 282–291 (2011)Google Scholar
- 2.Cohen, B.: What exactly is a smart city. Co. Exist 19 (2012)Google Scholar
- 3.Manville, C., Cochrane, G., Cave, J., Millard, J., Pederson, J.K., Thaarup, R.K., Liebe, A., Wissner, M., Massnink, R., Kotterink, B.: Mapping Smart Cities in the EU (2014)Google Scholar
- 6.Guinard, D., Trifa, V., Mattern, F., Wilde, E.: From the Internet of Things to the Web of Things: Resource-Oriented Architecture and Best Practices. Architecting the Internet of Things, pp. 97–129. Springer, Heidelberg (2011)Google Scholar
- 11.Davenport, T.H., Prusak, L.: Working Knowledge: How Organizations Manage What They Know. Harvard Business School Press, Boston (1998)Google Scholar
- 12.Luckham, D.: Event Processing for Business: Organizing the Real-Time Enterprise. John Wiley & Sons, Hoboken (2011)Google Scholar
- 17.Pérez-Lozano, P., Pérez-Vereda, A., Murillo, J.M., Canal, C.: SafeWalks: aplicación móvil de supervisión de pacientes de Alzheimer. XI Jornadas de Ciencia e Ingeniería de Servicios, Santander (2015)Google Scholar