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.
|Julkaisu||Environment and Planning B: Urban Analytics and City Science|
|DOI - pysyväislinkit|
|Tila||Julkaistu - 1 helmikuuta 2020|
|OKM-julkaisutyyppi||A1 Julkaistu artikkeli, soviteltu|