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From “shared diagnosis” to “shared action” : how Living Lab process can support decision-making process involving citizen for Smart City

Abstract : In the current era, Smart City projects have to deal with big social, ecological and technological challenges such as digitalization, pollution, democratic aspirations, need to be safe, etc. The higher involvement of multi-stakeholders (such as citizens, users, engineers, researchers, elected representatives, etc.) in the different phases of the projects, is one strategy enabling a variety of perspectives to be considered and thus develop a shared vision of the city. Paradoxically, the dynamic and multiple nature of stakeholders appears to be a source of complications and uncertainty in the decision-making process. Getting a consensus, which means legitimizing a group decision-making process, is often difficult to reach because the different expectations, needs and behaviours. The main hypothesis of the present research is that the consensus process could be facilitated by human and automatic tools through identifying conflicting points and following their evolution after several rounds of discussion. This study will propose a general methodology for two kinds of decision-making process supporting the negotiation between stakeholders within a Living Lab environment, an automatic control system that substitutes the facilitator’s actions and a process supervised by human facilitator. First, a methodology based on a multi-agent system is developed for automatic reaching consensus in large scale group of making decisions without facilitators and direct interaction. Then, a second methodology combining a human facilitator and ICT–based supporting tool. A proposition of multi-criteria and multi-stakeholders methodology supporting consensus reaching processes is used as decision support system tool in Smart City projects under Living Lab environment. Both Living Lab decision-making methodologies, the automatic and the supervised process, were developed, executed and validated in concrete case studies. Throughout using both methods, we can compare how different between the theoretical model and a process of experimenting decision-making tools in the real-life. The results of data analysis from experimentation provide suggestions to improve decision-making process of stakeholders with diverse objective and background in Smart City projects.
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https://hal.univ-lorraine.fr/tel-02517128
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Tran Thi Hoang Giang. From “shared diagnosis” to “shared action” : how Living Lab process can support decision-making process involving citizen for Smart City. Engineering Sciences [physics]. Université de Lorraine, 2019. English. ⟨NNT : 2019LORR0168⟩. ⟨tel-02517128⟩

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