Knowledge and Decision for Smart Cities Initiatives - Cases of Paris and Nice

Pierre-Emmanuel Arduin (pierre-emmanuel.arduin@dauphine.fr), Elsa Negre (elsa.negre@lamsade.dauphine.fr) and Camille Rosenthal-Sabroux
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Pierre-Emmanuel Arduin: DRM - Dauphine Recherches en Management - Université Paris Dauphine-PSL - PSL - Université Paris Sciences et Lettres - CNRS - Centre National de la Recherche Scientifique
Elsa Negre: LAMSADE - Laboratoire d'analyse et modélisation de systèmes pour l'aide à la décision - Université Paris Dauphine-PSL - PSL - Université Paris Sciences et Lettres - CNRS - Centre National de la Recherche Scientifique
Camille Rosenthal-Sabroux: LAMSADE - Laboratoire d'analyse et modélisation de systèmes pour l'aide à la décision - Université Paris Dauphine-PSL - PSL - Université Paris Sciences et Lettres - CNRS - Centre National de la Recherche Scientifique

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Abstract: Smart City is a concept for which no standard definition has been adopted either in theoretical researches or in empirical projects. Several definitions and classifications, different from each other, have been proposed. However, all definitions agree on the fact that a smart city is an urban space that tends to improve the daily life (work, school, etc.) of its citizens (broadly defined). This is an improvement from different points of view: social, political, economic, governmental, etc. This paper presents a case study by comparing two French cities considered smart by different classifications: Paris and Nice.

Keywords: Smart City; Knowledge; Decision Support System; Digital Knowledge Ecosystem (search for similar items in EconPapers)
Date: 2016-03-13
New Economics Papers: this item is included in nep-ure
Note: View the original document on HAL open archive server: https://hal.science/hal-01292680v1
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Citations: View citations in EconPapers (1)

Published in The second IEEE International Conference on Industrial Informatics and Computer Systems (CIICS16), Mar 2016, Sharjah, United Arab Emirates

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