Swarm Planning The Development of a Planning Methodology to Deal with Climate Adaptation /

• Κύριος συγγραφέας: Roggema, Rob (Συγγραφέας)
• Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
• Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
• Γλώσσα: English
• Έκδοση: Dordrecht : Springer Netherlands : Imprint: Springer, 2014.
• Σειρά: Springer Theses, Recognizing Outstanding Ph.D. Research,
• Θέματα: Environment.; Science.; Regional planning.; Urban planning.; Architecture.; Landscape architecture.; Climate change.; Sustainable development.; Climate Change.; Sustainable Development.; Landscape Architecture.; Cities, Countries, Regions.; Landscape/Regional and Urban Planning.; Science, general.

 This book shows that the problem of climate adaptation, which is described in social planning terms as ‘wicked,’ is at odds with the contemporary practice of spatial planning. The author proposes a new adjusted framework which is more adaptable to unpredictable, wicked, dynamic and non-linear processes. The inspiration for this new method is the behaviour of swarms: bees, ants, birds and fish are capable of self-organization, which enables the system to become less vulnerable to sudden environmental changes. The framework proposed in Swarm Planning consists of these four elements: Two levels of complexity, the first being the whole system and the second its individual components. Each of these has different attributes for adapting to change. Five layers, consisting of networks, focal points, unplanned space, natural resources and emerging occupation patterns. Each layer has its own spatial dynamic, and each is connected to a spatial scale. Non-linear processes, which emerge in different parts of the framework and include emerging patterns, connectedness and tipping points among others. Two planning processes; the first, ‘from small to large’ works upward from the slowest changing elements to more rapidly-changing ones. The second, ‘on the list of partners’ addresses each layer from networks through emerging occupation patterns. Swarm Planning applies this framework to a series of pilot studies, and appraises its performance using criteria for an adaptive landscape. The results show that the use of the Swarm Planning Framework reduces the vulnerability of landscapes as well as the impact of climate hazards and disasters, improves response to unexpected hazards and contains adaptation strategies. “This book is a must for planners in government and the private sector as it outlines the concept, strategies and techniques for swarm planning. It is also an important guide for policymakers looking to engage communities in a dialogue about the adaptation planning process.” Professor John Martin, La Trobe University “The ultimate value of the book lies in encouraging the planning community to consider options that go far beyond those offered by business-as-usual planning methodologies developed for a set of operating conditions that are fast becoming obsolete. As such it makes an important and much needed contribution to the field.” Assistant Professor Dr. Chrisna du Plessis, University of Pretoria. 

 Summary -- Introduction -- Chapter One: Introduction, Methodology, Limitations -- Chapter Two: Towards a Spatial Planning Framework for Climate Adaptation -- Chapter Three: Developing a Planning Theory for Wicked Problems: Swarm Planning -- Chapter Four: Incremental Change, Transition or Transformation? Optimising Change Pathways for Climate Adaptation in Spatial Planning -- Chapter Five: The Use of Spatial Planning to Increase the Resilience for Future Turbulence in the Spatial System of the Groningen Region to Deal with Climate Change -- Chapter Six: Swarming Landscapes, New Pathways for Resilient Cities -- Chapter Seven: Quadruple the Potential: Scaling the Energy Supply -- Chapter Eight: Beyond the Ordinary: Innovative Spatial Energy Framework Offers Perspectives on Increased Energy and Carbon Objectives -- Chapter Nine: Swarm Planning for Climate Change: An Alternative Pathway for Resilience -- Chapter Ten: Conclusion, Discussion and Recommendations -- Index.