Abstract: The new challenges in the smart city context are mainly related to the stimulation of the city users towards taking more sustainable behaviors, in mobility and energy. The state of the art in this case is mainly focused on classical smart city solution for informing the city users and or for engaging them with specific wired rules toward virtuous models. And not using flexible languages and predictive models, pushing them towards a larger range of virtuous habits. On this regards, the main problems are the computation of user behavior via data analytic (semantic computing, machine learning), as well as the formalization of strategies via simple and well formalized language for producing engagements to the city users, which can be understood by city operators. In this paper, a solution for city users engagement is studied and implemented for Sii-Mobility Smart city national project in Italy has been presented. The solution has been implemented thanks to the exploitation of Km4City model and semantic computing. The paper also presents the validation of results about the effective usage of the solution by providing some statistical evidence about the efficient assessment of user behavior and of engagement rules acceptance rate.

User Engagement Engine for Smart City Strategies / Badii, Claudio; Bellini, Pierfrancesco; Cenni, Daniele; Difino, Angelo; Paolucci, Michela; Nesi, Paolo. - STAMPA. - (2017), pp. 1-7. (Intervento presentato al convegno 2017 IEEE International Conference on Smart Computing, SMARTCOMP 2017 tenutosi a chn nel 2017) [10.1109/SMARTCOMP.2017.7947059].

User Engagement Engine for Smart City Strategies

BADII, CLAUDIO;BELLINI, PIERFRANCESCO;CENNI, DANIELE;DIFINO, ANGELO;PAOLUCCI, MICHELA;NESI, PAOLO
2017

Abstract

Abstract: The new challenges in the smart city context are mainly related to the stimulation of the city users towards taking more sustainable behaviors, in mobility and energy. The state of the art in this case is mainly focused on classical smart city solution for informing the city users and or for engaging them with specific wired rules toward virtuous models. And not using flexible languages and predictive models, pushing them towards a larger range of virtuous habits. On this regards, the main problems are the computation of user behavior via data analytic (semantic computing, machine learning), as well as the formalization of strategies via simple and well formalized language for producing engagements to the city users, which can be understood by city operators. In this paper, a solution for city users engagement is studied and implemented for Sii-Mobility Smart city national project in Italy has been presented. The solution has been implemented thanks to the exploitation of Km4City model and semantic computing. The paper also presents the validation of results about the effective usage of the solution by providing some statistical evidence about the efficient assessment of user behavior and of engagement rules acceptance rate.
2017
2017 IEEE International Conference on Smart Computing, SMARTCOMP 2017
2017 IEEE International Conference on Smart Computing, SMARTCOMP 2017
chn
2017
Badii, Claudio; Bellini, Pierfrancesco; Cenni, Daniele; Difino, Angelo; Paolucci, Michela; Nesi, Paolo
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Utilizza questo identificatore per citare o creare un link a questa risorsa: https://hdl.handle.net/2158/1094657
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