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

Roggema, R

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

Roggema, R

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Publisher:: Springer
Publication Type:: Book
Citation:: 2013
Issue Date:: 2013

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Field	Value	Language
dc.contributor.author	Roggema, R https://orcid.org/0000-0003-2492-0779	en_US
dc.date.issued	2013	en_US
dc.identifier.citation	2013	en_US
dc.identifier.uri	http://hdl.handle.net/10453/116210
dc.description.abstract	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.	en_US
dc.publisher	Springer	en_US
dc.relation.isbasedon	10.1007/978-94-007-7152-9	en_US
dc.title	Swarm Planning: The Development of a Planning Methodology to Deal with Climate Adaptation	en_US
dc.type	Book
utslib.for	120501 Community Planning	en_US
pubs.embargo.period	Not known	en_US
pubs.organisational-group	/University of Technology Sydney
pubs.organisational-group	/University of Technology Sydney/Faculty of Design, Architecture and Building
pubs.organisational-group	/University of Technology Sydney/Faculty of Design, Architecture and Building/School of Architecture
utslib.copyright.status	closed_access
pubs.consider-herdc	false	en_US
pubs.publication-status	Published	en_US

Abstract:

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.

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http://hdl.handle.net/10453/116210