Grunnleggende konsepter
A nonlinear-dynamical algorithm based on the Impulse Pattern Formulation (IPF) is proposed to predict relevant parameters like health, artistic freedom, or financial developments of different social or political stakeholders over the course of a city planning process.
Sammendrag
The content presents a nonlinear-dynamical algorithm for city planning based on the Impulse Pattern Formulation (IPF). The key points are:
The IPF algorithm is proposed as a tool to predict relevant parameters like health, artistic freedom, or financial developments of different social or political stakeholders over the course of a city planning process.
The IPF algorithm consists of three basic equations: system state developments, self-adaptation of stakeholders, and two adaptive interactions (direct and mediated).
The algorithm can model typical scenarios of stakeholder interactions and developments by adjusting a set of system parameters, including stakeholder reaction to external input, enhanced system stability through self-adaptation, stakeholder convergence due to mediated interaction adaptation, and complex dynamics in terms of direct stakeholder impacts.
A workflow is outlined for implementing the algorithm in real city planning scenarios, including machine learning to determine the best-fit parameters to achieve desired development of the planning process and its output.
The algorithm is presented as a solution to the complexity of modern city planning, the need for efficient use of resources, and the importance of social participation and public acceptance of planned actions.