Abstract
In cities, positive self-organization, reflecting the preferred pattern formation resulting from dissipative decision making of activities, is a key promoter of urban dynamics. The urban planning system is limited in recognizing it, but planners adapt to these autonomous processes by deviating from the plan. The result is a dual system of rules and systematic exceptions, which lacks the ability to steer and evaluate the overall direction of urban progress. Similar yet explicit dual problem-solving procedures of statutory rule frameworks and adaptations applying previous cases are common in many fields. Applying this multi-disciplinary knowledge, I propose a dual, computation-supported planning procedure combining rule-based and case-based reasoning. Such planning could respond to urban self-organization, while guiding urban dynamics in a consistent manner. The operation of this coupled system is illustrated using the empirical example of Lielahti, a mixed-use working place district in the Finnish city of Tampere in an exploratory manner.
Original language | English |
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Article number | 2399808319893687 |
Pages (from-to) | 304-320 |
Number of pages | 17 |
Journal | Environment and Planning B: Urban Analytics and City Science |
Volume | 47 |
Issue number | 2 |
DOIs | |
Publication status | Published - 1 Feb 2020 |
MoE publication type | A1 Journal article-refereed |
Keywords
- Self-organization
- urban planning
- rule-based planning
- case-based planning
- cities
- KNOWLEDGE
- LIMITS