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100 _aJ Partanen
_957586
245 _aGuiding urban self-organization: Combining rule-based and case-based planning/
260 _bSage,
_c2020.
300 _aVol. 47, Issue 2, 2020, ( 304–320 p.)
520 _aIn 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.
773 0 _08876
_917104
_dLondon Pion Ltd. 2010
_tEnvironment and planning B: planning and design (Urban Analytics and City Science)
_x1472-3417
856 _uhttps://doi.org/10.1177/2399808319893687
942 _2ddc
_cEJR
999 _c14510
_d14510