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Table of contents
Acknowledgements
Abstract
Résumé
Introduction
Introduction (Français)
Part 1 An Overview on Innovation Studies and Urban Innovation Networks
Partie 1 (Français) Un aperçu sur les études sur l’innovation et les réseaux d’innovation urbaine
1 An Overview on Innovation: A Path Towards Environmental and Societal Challenges.
1.1 First Period of Innovation Policy Framework – Post WW II to 1980’s: Innovation for Growth
1.2 Second Period of Innovation Policy Framework – 1980’s to 2000’s: National Systems of Innovation
1.3 Third and Current Framing of Innovation Policy: Transformative Change
1.4 Diffusion of Innovations
1.5 Conclusion Chapter 1
2 Theoretical and Modelling Approaches for the Dynamics of Complex Urban Systems and Diffusion of Innovations
2.1 Urban Systems Modelling
2.1.1 Neoclassical and Behavioural Approaches in Urban Theory
2.1.2 Systems Dynamics Modelling
2.1.3 Urban Systems Dynamics and Simulation
2.1.4 Spatial Urban Dynamics
2.1.5 Land-Use Change Modelling
2.2 Innovation Diffusion as a Spatial Process
Time and Space
2.2 Resilience: A Review of Theoretical Conceptualizations in Urban Studies and Business Management
2.3.1 Conceptual Views on Resilience
2.3.2 Regional Resilience
2.3.3 Business Continuity Management: An Attempt to Integrate Resilience in Business Management
2.3.4 Urban Resilience and Sustainability Transition
2.3.5 Sustainability Transition: A Theoretical Review on Multiscale Modelling of Urban Resilience Under a Network Approach
2.3.6 Overview of Research Questions
2.4 Conclusion Chapter 2
3 Study Area and Data
3.1 Urban and economic context in the Swiss region: the canton of Valais-Wallis
3.1.1 Demography
3.1.2 Economy
3.1.3 Nature, Climate Change and Spatial Planning in Valais
3.2 A rationale to Choose Renewable Energy Technologies as Innovation Indicators
3.3 The Energy Transition Context in Valais – Wallis
3.4 Swiss Data
3.5 The Urban and Economic Context in the South Region of France
3.5.1 Demography and Economy
3.5.2 Nature and Climate Change in the South Region of France
3.6 The Energy Context in the South Region
3.7 French Data
3.8 Conclusion Chapter 3
4 Integrating Network Science for Spatial Diffusion and Resilience Modelling to Renewable Energies: A Theoretical Background
4.1 Preferential Attachment vs Randomness
4.1.1 Thresholds and Phase Transitions in Evolving Networks
4.1.2 Scale-free Networks: The Barabasi-Albert model
4.2 Conclusion Chapter 4
4.3 Conclusion Part 1
4.4 Conclusion Part 1 (Français)
Part 2 Modelling and Simulation of Spatial Diffusion of Innovations and Urban Resilience to Energy Transition
Partie 2 (Français) : Modélisation et Simulation de la Diffusion Spatiale des Innovations et de la Résilience Urbaine à la Transition Energétique
5 Modelling Framework for Innovation Diffusion: A Multiscale Geospatial Network Approach for Renewable Energy Technologies Diffusion in the Swiss Alps
5.1 Objectives
5.2 Design of the General System of Simulation
5.3 Phase 1A: A Spatial Diagnosis of the Major Land-Use Trends in Valais-Wallis Via the SLEUTH Approach
5.3.1 Data
5.3.2 Transition Matrix for Years 2006-2018 and Markov Chains
5.3.3 Trend Scenarios for Years 2006 – 2048
5.4 Geoprospective: Spatial Interaction Modelling for the Swiss Alps region
5.4.1 Potential Fields
5.4.2 Attractiveness
5.4.3 Data
5.4.4 Spatial Representation of the Potential Fields of Innovation
5.4.5 Population Dynamics Simulation Under a Multi-paradigm Approach: System Dynamics and Agent-based Modelling
5.4.5.1 System Dynamics Model
5.4.5.2 Population dynamics in the canton of Valais via the integration of a spatial interaction model and agent-based modelling
5.5 Multi-scale Spatial Network Diffusion Modelling for Renewable Energy Technologies in the Swiss Alps
5.5.1 Data
5.5.2 Exploratory Data Analysis of Renewable Energy Technologies
5.5.2.1 Solar Photovoltaics and Space: A Multiscale Statistical Analysis in the Swiss Alps
5.5.2.2 Solar Photovoltaics, Space and Time: A Multiscale Spatial Analysis of the Distributional Changes in the Diffusion of Renewable Energy Technologies in the Swiss Alps
5.5.2.3 Electric and Hybrid Vehicles, Space and Time: A Multiscale Spatial Analysis of the Distributional Changes in the Diffusion of Innovations in the Swiss Alps
5.5.3 Spatial Preferential Attachment: A Network Modelling Approach for Diffusion of Innovations and Geography of Sustainability Transitions in Switzerland
5.5.3.1 A Scale-free Network Spatially Explicit for Renewable Energy Technologies Diffusion: Solar PV in the Swiss Alps
5.5.3.2 A Scale-free Network Spatially Explicit Approach for Renewable Energy Technologies Diffusion: Electric and Hybrid Vehicles in Switzerland
5.6 Conclusion Chapter 5
6 A Multiscale Geospatial Network Approach for Renewable Energy Technologies Diffusion in the South Region of France
6.1 Objectives
6.2 Multi-scale Spatiotemporal Modelling Framework for Geography of Sustainability Transitions: Application of the Spatial Preferential Attachment Model in the South Region of France
6.2.1 Data
6.2.2 Exploratory Data Analysis of Renewable Energy Technologies in the South Region of France
6.2.2.1 Solar Photovoltaics and Space: A Multiscale Spatial Analysis of Energy Production in the South Region of France
6.2.2.2 Solar Thermal Collectors and Space: A Multiscale Spatial Analysis of Energy Production in the South Region of France
6.2.2.3 Solar Photovoltaics, Space and Time: A Multiscale Spatial Analysis of Energy Production in the South Region of France
6.2.2.4 Solar Thermal Collectors Space and Time: A Multiscale Spatial Analysis of Energy Production in the South Region of France
6.2.3 Spatial Preferential Attachment: A Network Modelling Approach for Diffusion of Innovations and Geography of Sustainability Transitions in France
6.2.3.1 A Scale-free Network Spatially Explicit for Renewable Energy Technologies Diffusion in the South Region of France: The Case of Solar Photovoltaics and Solar Thermal Collectors
6.2.3.2 An application of the Spatial Preferential Attachment Model for Energy Production for Electricity Based on a Technology Mix of: Wind Power, Small and Big Hydroelectric Power Plants, Biogas and Solar Pho
6.2.3.3 An application of the Spatial Preferential Attachment Model for Energy Production for Heating Based on a Technology Mix of: Biomass and Solar Thermal Collectors
6.2.3.4 An application of the Spatial Preferential Attachment to the Energy Produced for Electricity and Heating Based on a Technology Mix of: Wind Power, Small and Big Hydroelectric Power Plants, Solar Photovo
6.2.3.5 Sensitivity Analysis
6.3 Conclusion Chapter 6
7 Network Science as a Conceptual Instrument for Urban Resilience to Innovation Diffusion: A Geospatial Simulation for Sustainability Transition
7.1 Objectives
7.2 Urban Resilience to Innovation Diffusion: A Simulation on Sustainability Transition
7.2.1 Model
7.2.1.1 Urban Resilience to Renewable Energy Technologies at 300 Square Meters: Size Matters
7.2.1.2 Urban Resilience to Renewable Energy Technologies at 600 and 1200 Square Meters: Where Fractality Begins
7.3 Discussion: Resilient Systems are Fractal, but is Really Resilience Fractal?
7.3.1 Bridging Sustainability Transition Pathways and Resilience Modelling
7.4 Conclusion Chapter 7
7.5 Conclusion Part 2
7.6 Conclusion Part 2 (Français)
Conclusion and New Perspectives
Conclusions et Nouvelles Perspectives
References
