Chapter 16 - Adaptive master plans: Flexible modular design strategies

Martin Bielik, Reinhard König, Sven Schneider

Publikation: Beitrag in Buch oder TagungsbandBuchkapitel

Abstract

Digitalization is changing the way cities are planned. Technological innovations in AI and data analysis are leading to new design strategies and processes in which urban designers must constantly redefine their role in the interaction with digital tools. In this chapter, we demonstrate how various generative and analytical methods can be used to create adaptive master plans (AMPs). AMPs are computational models that are able to generate urban plans based on context information, boundary conditions, and design performance goals. In contrast to traditional urban design models, where one static representation of a design is created, AMPs represent a flexible design solution, allowing the designer—or other stakeholders—to change the input parameters and explore their effects on the resulting design. In this chapter, we briefly summarize the origins of AMPs and show some of their basic components. By means of two examples—the design of numerous small cities in Ethiopia and of a new urban district on Singapore's waterfront, we show the potential that such AMPs have for the creation, analysis, and optimization of urban plans.
OriginalspracheEnglisch
TitelArtificial Intelligence in Urban Planning and Design
Redakteure/-innenImdat As, Prithwish Basu, Pratap Talwar
Herausgeber (Verlag)Elsevier
Seiten323-337
Seitenumfang15
ISBN (Print)9780128239414
DOIs
PublikationsstatusVeröffentlicht - 2022

Research Field

  • Ehemaliges Research Field - Integrated Digital Urban Planning

Schlagwörter

  • Adaptive master plans; Computational urban planning; Generative design; Optimization; Artificial intelligence (AI); Urban geography; Geomatics; AI in design

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