International audience ; This paper presents a brief summary of work being carried out under the Franco-Japanese research project ResTO TerRiN. The main goal of the project is to produce relevant knowledge and effective methods and tools to improve the resilience of a territory against Natech accidents (chemical accidents triggered by natural hazards) especially those due to flood / tsunami. The work is based on a posteriori (in Japan and France) and a priori analysis of the industrial as well as the local governments' emergency management to the Natech accidents during the Great East Japan earthquake and tsunami (GEJET) and during severe flooding events in France. Survey questionnaires in Japan and France are being applied to chemical facilities, to government agencies, and to citizens in France and Japan The data collected are used to model the impact of the natural hazard events on the facilities and the safety barriers, as well as the community and overall social impacts. These results are then used to understand societal and territorial resilience to these complex disasters and propose a Natech resilience model. In this paper we present the preliminary results of the ongoing work in Japan.
International audience ; This paper presents a brief summary of work being carried out under the Franco-Japanese research project ResTO TerRiN. The main goal of the project is to produce relevant knowledge and effective methods and tools to improve the resilience of a territory against Natech accidents (chemical accidents triggered by natural hazards) especially those due to flood / tsunami. The work is based on a posteriori (in Japan and France) and a priori analysis of the industrial as well as the local governments' emergency management to the Natech accidents during the Great East Japan earthquake and tsunami (GEJET) and during severe flooding events in France. Survey questionnaires in Japan and France are being applied to chemical facilities, to government agencies, and to citizens in France and Japan The data collected are used to model the impact of the natural hazard events on the facilities and the safety barriers, as well as the community and overall social impacts. These results are then used to understand societal and territorial resilience to these complex disasters and propose a Natech resilience model. In this paper we present the preliminary results of the ongoing work in Japan.
International audience ; This paper presents a brief summary of work being carried out under the Franco-Japanese research project ResTO TerRiN. The main goal of the project is to produce relevant knowledge and effective methods and tools to improve the resilience of a territory against Natech accidents (chemical accidents triggered by natural hazards) especially those due to flood / tsunami. The work is based on a posteriori (in Japan and France) and a priori analysis of the industrial as well as the local governments' emergency management to the Natech accidents during the Great East Japan earthquake and tsunami (GEJET) and during severe flooding events in France. Survey questionnaires in Japan and France are being applied to chemical facilities, to government agencies, and to citizens in France and Japan The data collected are used to model the impact of the natural hazard events on the facilities and the safety barriers, as well as the community and overall social impacts. These results are then used to understand societal and territorial resilience to these complex disasters and propose a Natech resilience model. In this paper we present the preliminary results of the ongoing work in Japan.
International audience ; This paper presents a brief summary of work being carried out under the Franco-Japanese research project ResTO TerRiN. The main goal of the project is to produce relevant knowledge and effective methods and tools to improve the resilience of a territory against Natech accidents (chemical accidents triggered by natural hazards) especially those due to flood / tsunami. The work is based on a posteriori (in Japan and France) and a priori analysis of the industrial as well as the local governments' emergency management to the Natech accidents during the Great East Japan earthquake and tsunami (GEJET) and during severe flooding events in France. Survey questionnaires in Japan and France are being applied to chemical facilities, to government agencies, and to citizens in France and Japan The data collected are used to model the impact of the natural hazard events on the facilities and the safety barriers, as well as the community and overall social impacts. These results are then used to understand societal and territorial resilience to these complex disasters and propose a Natech resilience model. In this paper we present the preliminary results of the ongoing work in Japan.
International audience ; This paper presents a brief summary of work being carried out under the Franco-Japanese research project ResTO TerRiN. The main goal of the project is to produce relevant knowledge and effective methods and tools to improve the resilience of a territory against Natech accidents (chemical accidents triggered by natural hazards) especially those due to flood / tsunami. The work is based on a posteriori (in Japan and France) and a priori analysis of the industrial as well as the local governments' emergency management to the Natech accidents during the Great East Japan earthquake and tsunami (GEJET) and during severe flooding events in France. Survey questionnaires in Japan and France are being applied to chemical facilities, to government agencies, and to citizens in France and Japan The data collected are used to model the impact of the natural hazard events on the facilities and the safety barriers, as well as the community and overall social impacts. These results are then used to understand societal and territorial resilience to these complex disasters and propose a Natech resilience model. In this paper we present the preliminary results of the ongoing work in Japan.
International audience ; This paper presents a brief summary of work being carried out under the Franco-Japanese research project ResTO TerRiN. The main goal of the project is to produce relevant knowledge and effective methods and tools to improve the resilience of a territory against Natech accidents (chemical accidents triggered by natural hazards) especially those due to flood / tsunami. The work is based on a posteriori (in Japan and France) and a priori analysis of the industrial as well as the local governments' emergency management to the Natech accidents during the Great East Japan earthquake and tsunami (GEJET) and during severe flooding events in France. Survey questionnaires in Japan and France are being applied to chemical facilities, to government agencies, and to citizens in France and Japan The data collected are used to model the impact of the natural hazard events on the facilities and the safety barriers, as well as the community and overall social impacts. These results are then used to understand societal and territorial resilience to these complex disasters and propose a Natech resilience model. In this paper we present the preliminary results of the ongoing work in Japan.
International audience ; These last years have seen the multiplication of plat- forms dedicated to the conception and simulation of agent-based models for studying complex systems. If these platforms allowed to democratize this modeling approach, they are often complex to use by non-computer scientists as most of them require to define models by writing numerous code lines. In this paper, we present GAMAGraM, a new graphical modeling plug-in integrated into the GAMA platform. This plug-in allows users to define models from a graphical interface. Defining a model with the GAMAGraM plu- gin means first defining the structure of the model by a conceptual entity-relationship diagram, then defining the properties of entities through dedicated dialog boxes. The graphical editor provides auto- compilation tools allowing to ease the work of the modelers.
International audience ; These last years have seen the multiplication of plat- forms dedicated to the conception and simulation of agent-based models for studying complex systems. If these platforms allowed to democratize this modeling approach, they are often complex to use by non-computer scientists as most of them require to define models by writing numerous code lines. In this paper, we present GAMAGraM, a new graphical modeling plug-in integrated into the GAMA platform. This plug-in allows users to define models from a graphical interface. Defining a model with the GAMAGraM plu- gin means first defining the structure of the model by a conceptual entity-relationship diagram, then defining the properties of entities through dedicated dialog boxes. The graphical editor provides auto- compilation tools allowing to ease the work of the modelers.
International audience ; Human behavior can be influenced by social interactions. The study of how human behavior change has applications in different fields such as marketing, military, psychology, robotics, human-machine interface, anthropology, computational sciences, economics or epidemiology. Applying Modeling and Simulation to study human behavior is encouraged to avoid the long waiting times that takes natural observations of desired events. In our study, we provide a model for human social interaction and influence during a product launch using the Cell-DEVS formalism, the CD++ simulator, Agent-Based Modeling and Bounded Confidence Models. We studied how the size of the market, attributes of an individual and number of people that a human interacts with can affect human behavior.
International audience ; Context and motivation Environmental issues now pose a threat to human civilization worldwide [1]. The risks associated with delayed reaction and adaptation times make the situation urgent [2]. The problems are amplified by their systemic nature: First the environment is degrading on all fronts at the same time and at the global planetary scale. Second the complexity and intertwining of our socio-economic organization are extreme. As focal points of human activity, urban areas concentrate and amplify environmental pressures in a direct or indirect way. Faced with this situation, researchers mobilize; in particular systemic and pluridisciplinary approaches have the wind in their sails. Nevertheless, and despite the urgency, there is a clear lack of transfer of sustainability science findings from the academic world to the political one. In this context, opening the discussion on how to ensure and accelerate the transfer of knowledge and associated tools developed by researchers on systemic modeling at local scale towards local decision makers is critical. The objectives of the CITiES project 1, which builds on such a statement in the framework of"Land Use and Transport Interaction" modeling (LUTI), meet this need 2, at least in part (see for example [3] for a general overview of LUTI). In particular, we tackle two important bottlenecks: the complexity of the calibration processes and the assessment of the reliability of the models. For some time now, researchers interact with institutional actors to specify relevant urban policy scenarios and indicators used in LUTI models. But it seems that these interactions with stakeholders are not enoughto favor a large diffusion of these tools: Integrating end-users in the entire modeling process, from the definition of the objectives of the modeling exercise to the validation processes, appears as a determining factor. For example, the models' calibration processes must be appropriate to the constraints and limitations of local agencies and they ...
International audience ; Context and motivation Environmental issues now pose a threat to human civilization worldwide [1]. The risks associated with delayed reaction and adaptation times make the situation urgent [2]. The problems are amplified by their systemic nature: First the environment is degrading on all fronts at the same time and at the global planetary scale. Second the complexity and intertwining of our socio-economic organization are extreme. As focal points of human activity, urban areas concentrate and amplify environmental pressures in a direct or indirect way. Faced with this situation, researchers mobilize; in particular systemic and pluridisciplinary approaches have the wind in their sails. Nevertheless, and despite the urgency, there is a clear lack of transfer of sustainability science findings from the academic world to the political one. In this context, opening the discussion on how to ensure and accelerate the transfer of knowledge and associated tools developed by researchers on systemic modeling at local scale towards local decision makers is critical. The objectives of the CITiES project 1, which builds on such a statement in the framework of"Land Use and Transport Interaction" modeling (LUTI), meet this need 2, at least in part (see for example [3] for a general overview of LUTI). In particular, we tackle two important bottlenecks: the complexity of the calibration processes and the assessment of the reliability of the models. For some time now, researchers interact with institutional actors to specify relevant urban policy scenarios and indicators used in LUTI models. But it seems that these interactions with stakeholders are not enoughto favor a large diffusion of these tools: Integrating end-users in the entire modeling process, from the definition of the objectives of the modeling exercise to the validation processes, appears as a determining factor. For example, the models' calibration processes must be appropriate to the constraints and limitations of local agencies and they ...
International audience ; Context and motivation Environmental issues now pose a threat to human civilization worldwide [1]. The risks associated with delayed reaction and adaptation times make the situation urgent [2]. The problems are amplified by their systemic nature: First the environment is degrading on all fronts at the same time and at the global planetary scale. Second the complexity and intertwining of our socio-economic organization are extreme. As focal points of human activity, urban areas concentrate and amplify environmental pressures in a direct or indirect way. Faced with this situation, researchers mobilize; in particular systemic and pluridisciplinary approaches have the wind in their sails. Nevertheless, and despite the urgency, there is a clear lack of transfer of sustainability science findings from the academic world to the political one. In this context, opening the discussion on how to ensure and accelerate the transfer of knowledge and associated tools developed by researchers on systemic modeling at local scale towards local decision makers is critical. The objectives of the CITiES project 1, which builds on such a statement in the framework of"Land Use and Transport Interaction" modeling (LUTI), meet this need 2, at least in part (see for example [3] for a general overview of LUTI). In particular, we tackle two important bottlenecks: the complexity of the calibration processes and the assessment of the reliability of the models. For some time now, researchers interact with institutional actors to specify relevant urban policy scenarios and indicators used in LUTI models. But it seems that these interactions with stakeholders are not enoughto favor a large diffusion of these tools: Integrating end-users in the entire modeling process, from the definition of the objectives of the modeling exercise to the validation processes, appears as a determining factor. For example, the models' calibration processes must be appropriate to the constraints and limitations of local agencies and they ...
International audience ; Context and motivation Environmental issues now pose a threat to human civilization worldwide [1]. The risks associated with delayed reaction and adaptation times make the situation urgent [2]. The problems are amplified by their systemic nature: First the environment is degrading on all fronts at the same time and at the global planetary scale. Second the complexity and intertwining of our socio-economic organization are extreme. As focal points of human activity, urban areas concentrate and amplify environmental pressures in a direct or indirect way. Faced with this situation, researchers mobilize; in particular systemic and pluridisciplinary approaches have the wind in their sails. Nevertheless, and despite the urgency, there is a clear lack of transfer of sustainability science findings from the academic world to the political one. In this context, opening the discussion on how to ensure and accelerate the transfer of knowledge and associated tools developed by researchers on systemic modeling at local scale towards local decision makers is critical. The objectives of the CITiES project 1, which builds on such a statement in the framework of"Land Use and Transport Interaction" modeling (LUTI), meet this need 2, at least in part (see for example [3] for a general overview of LUTI). In particular, we tackle two important bottlenecks: the complexity of the calibration processes and the assessment of the reliability of the models. For some time now, researchers interact with institutional actors to specify relevant urban policy scenarios and indicators used in LUTI models. But it seems that these interactions with stakeholders are not enoughto favor a large diffusion of these tools: Integrating end-users in the entire modeling process, from the definition of the objectives of the modeling exercise to the validation processes, appears as a determining factor. For example, the models' calibration processes must be appropriate to the constraints and limitations of local agencies and they ...
International audience ; Context and motivation Environmental issues now pose a threat to human civilization worldwide [1]. The risks associated with delayed reaction and adaptation times make the situation urgent [2]. The problems are amplified by their systemic nature: First the environment is degrading on all fronts at the same time and at the global planetary scale. Second the complexity and intertwining of our socio-economic organization are extreme. As focal points of human activity, urban areas concentrate and amplify environmental pressures in a direct or indirect way. Faced with this situation, researchers mobilize; in particular systemic and pluridisciplinary approaches have the wind in their sails. Nevertheless, and despite the urgency, there is a clear lack of transfer of sustainability science findings from the academic world to the political one. In this context, opening the discussion on how to ensure and accelerate the transfer of knowledge and associated tools developed by researchers on systemic modeling at local scale towards local decision makers is critical. The objectives of the CITiES project 1, which builds on such a statement in the framework of"Land Use and Transport Interaction" modeling (LUTI), meet this need 2, at least in part (see for example [3] for a general overview of LUTI). In particular, we tackle two important bottlenecks: the complexity of the calibration processes and the assessment of the reliability of the models. For some time now, researchers interact with institutional actors to specify relevant urban policy scenarios and indicators used in LUTI models. But it seems that these interactions with stakeholders are not enoughto favor a large diffusion of these tools: Integrating end-users in the entire modeling process, from the definition of the objectives of the modeling exercise to the validation processes, appears as a determining factor. For example, the models' calibration processes must be appropriate to the constraints and limitations of local agencies and they ...
National audience ; This article describes the methodology adopted for the implementation of simulation scenarios for an LandUse and Transport Integrated model, referring to the territory of the Grenoble Urban Region, in the IsereDepartment in France. The assumptions behind these simulation scenarios were derived from theassumptions of residential and transportation supply evolution, at 2030, contained in the Grenoble UrbanRegion's Scheme of Territorial Coherence (SCOT). The SCOT is a strategic urban planning tool for themedium and long term, defining for a group of municipalities an integrated and coherent urban project, interms of economic development, spatial and environmental planning, housing, mobility and services, andland use. Simulation scenarios serve to feed the Tranus_Grenoble model implemented in collaboration withthe Urban Planning Agency of the Grenoble Urban Region (AURG), with the aim of providing anoperational tool that supports the territorial analysis and the planning activity and in particular with thefunction of simulating the impact of policies envisaged in the SCOT and verifying its effectiveness. Thearticle outlines the methodology behind the implementation fo simulation scenarios, the adaptation of thehypotheses contained in the Plan to the model structure and the process of treating and consolidatingdifferent databases, prospective studies, socio-economic and econometric parameters. The article illustratesthe basic structure of the Tranus_Grenoble model, the features and objectives of the SCOT for the UrbanRegion of Grenoble, the structure of the base scenario of the model and the methodology for implementingthe simulation scenarios. ; In questo articolo si illustra la metodologia adottata per l'implementazione degli scenari di simulazione di un modello di tipo integrato trasporti-uso del suolo, riferito al territorio della Regione Urbana di Grenoble, nel Dipartimento dell'Isere in Francia. Le ipotesi alla base di tali scenari di simulazione sono state ricavate a partire dalle ipotesi di evoluzione dell'offerta residenziale e di trasporto, all'orizzonte 2030, contenute nello Schema di Coerenza Territoriale (SCOT) della Regione Urbana di Grenoble. Lo SCOT è uno strumento di pianificazione urbana strategica per il medio e lungo periodo, che definisce per un gruppo di comuni un progetto integrato e coerente di territorio, in materia di sviluppo economico, pianificazione spaziale e ambientale, offerta abitativa, di mobilità e servizi, di uso del suolo. Gli scenari di simulazione servono ad alimentare il modello Tranus_Grenoble implementato in collaborazione con l'Agenzia per l'Urbanistica della Regione Urbana di Grenoble (AURG), con l'obiettivo di fornire uno strumento operazionale che sia di supporto all'attività di analisi e di pianificazione territoriale ed in particolare con la funzione di simulare l'impatto delle politiche previste nello SCOT sul territorio e verificarne l'efficacia. L'articolo espone la metodologia alla base del lavoro di scenarizzazione e di adattamento delle ipotesi contenute nel Piano alla struttura del modello ed il processo di trattamento e messa in coerenza di diverse basi di dati, studi di prospettiva, parametri di tipo socio-economico e econometrico. Nell'articolo viene illustrata la struttura di base del modello Tranus_Grenoble, le caratteristiche e gli obiettivi dello SCOT per la Regione Urbana di Grenoble, la struttura dello scenario base del modello e la metodologia di implementazione degli scenari di simulazione.
