Planning rules for a self-planned city

Alfasi, Nurit; Portugali, Juval

doi:10.1177/1473095207077587

Cited by 117 publications

(66 citation statements)

References 24 publications

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“…Alexander, 1977;Alfasi and Portugali, 2007;Duarte, 2011;Lynn, 1998;Novak, 2001). In self-organizing approaches, the spatial configuration or plan/design emerges within a process based on dynamic, autonomous, and adaptive ''computation'' and relationships between urban entities, defining for example tolerable proximity, use or volume of adjacent buildings.…”

Section: Complexity Planning Approachesmentioning

confidence: 95%

Liquid planning, wiki-design—Learning from the Case Pispala

Partanen

2016

Environ Plann B Plann Des

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As the key aspects of theories of complex systems have been established, the premises for academic research on planning and on planning praxis still necessitates the development of novel planning tools and approaches to address inevitable urban self-organizing transformations. We have accepted that cities emerge from bottom up. However, planning methods simulating this emergence are still limited. Progress has been made in recent decades and many systemic, evolutionary, and computing based planning approaches have been proposed. The work here builds on these premises. Network theoretical, computational, and democracy discourses have proposed proxy or liquid approaches as for genuinely democratic forms of decision-making. More importantly, they enable information organization from bottom up in a digital platform. This process actually follows the very principles of self-organization of information in information or cognitive sciences: entropy decreases as the ''bits'' of information self-organize into coherent classes. These principles are also applicable in bottom-up planning. Hence, and to bring this discourse closer to the planning realm, I compared the conceptualized structures of Liquid Democracy, SIRN cognitive model and prior self-organizing planning proposals in a bottom-up planning experiment in Pispala neighborhood, Tampere, Finland. I evaluated its capacity for self-organization of information and hypothesized that the case provides a frame for a new self-organizing planning method. Based on this evaluation a structure for a digitalized Liquid Planning procedure is suggested and discussed.

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Section: Complexity Planning Approachesmentioning

confidence: 95%

Liquid planning, wiki-design—Learning from the Case Pispala

Partanen

2016

Environ Plann B Plann Des

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“…Complex systems such as cities show emergent properties and non-linear relationships between components, making them highly intractable and difficult to predict. Planning theory has in recent years started to recognize and tackle this challenge, whether from the point of view of conceptualizing coherent urban form (Salingaros 2000), articulating planning processes (Healey 1997), relating social theory, self-organization and planning rules (Portugali 1999, Alfasi andPortugali 2007), analyzing and simulating complex urban structures (Batty 2007).…”

Section: Introductionmentioning

confidence: 99%

Distributed, integrated and interactive traffic simulations

Raghothama¹,

Meijer²

2015

2015 Winter Simulation Conference (WSC)

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Mainstream discourse in urban planning is in transition, due to shifts from a technical to a communicative perspective, and increased scrutiny and criticism of models and simulations. The cognizance of complexity in urban systems is imposing limitations on modeling. The added benefits of today's data and computational power make simulations harder to validate and understand. Reconciling the movements towards a communicative and exploratory approach as compared to a technical and predictive approach requires new methods for planning process and posits new requirements and functions for simulations. Based on distributed simulation and gaming simulation, the paper presents a framework to support the exploration of simulated and realistic virtual worlds in a participatory fashion, enabling new approaches to urban planning. The development and evaluation of the framework casts simulations in a new perspective and explores the context of use of simulations in planning and design.

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“…Many initiatives which include ideas that could contribute to an area's potential might thus not be realized within existing sets of planning rules, since they are derived in terms of 'being' and insufficiently account for 'becoming'. In contrast, loose rules do not try to cover all possible urban forms, nor do they advocate any particular way of living (for a similar discussion see Alfasi & Portugali, 2007). Loose rules guide future development paths and embrace diversity in further evolution rather than regarding it as a risk to be minimized.…”

Section: ! 17!mentioning

confidence: 99%

How to Make Development Plans Suitable for Volatile Contexts

Rauws¹,

Cook

Dijk

2014

Planning Practice & Research

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Development plans are central tools in spatial planning practice. They create a vision of how places should develop and prescribe how desired patterns of development will be realized. However, development plans are increasingly regarded as inflexible and even rigid when confronted by changes in their context. Conceptualizing urban districts in terms of Complex Adaptive Systems (CAS), this paper identifies ways in which more flexible development plans can be designed. This is investigated through a case study of a development plan for Blauwestad in the Netherlands, which enabled sources of rigidity to be analysed.The paper concludes with the view that from a CAS perspective, development plans are part of the structures necessary to facilitate self-organization and if designed with certain principles in mind, can play a key role in assisting the endogenous evolution of spatial developments.

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Planning rules for a self-planned city

Cited by 117 publications

References 24 publications

Liquid planning, wiki-design—Learning from the Case Pispala

Liquid planning, wiki-design—Learning from the Case Pispala

Distributed, integrated and interactive traffic simulations

How to Make Development Plans Suitable for Volatile Contexts

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