Digital Workflow for Novel Urban Green System Design Derived from a Historical Role Model

Ferdinand Ludwig, Michael Hensel, Thomas Rötzer, Albin Ahmeti, Xi Chen, Halil Ibrahim Erdal, Astrid Reischel, Qiguan Shu, Jakub Marcin Tyc, Hadi Yazdi

Research output: Contribution to journalArticlepeer-review

Abstract

By studying how historical green systems were designed and managed, strategies and methods for developing novel urban green systems can be gained. However, this potential often remains untapped due to the high complexity of historical approaches. New methods and tools in the areas of 3D scanning, data-driven modelling and simulation, computer-aided design, information modelling, knowledge engineering, machine learning and decision support systems can serve to tackle this complexity. In this paper we review the related state of the art and conceptually outline a digital workflow to achieve this aim. We conclude with discussing how this approach can change the role of landscape designers in the future.

Original languageEnglish
Pages (from-to)333-345
Number of pages13
JournalJournal of Digital Landscape Architecture
Volume2024
Issue number9
DOIs
StatePublished - 2024

Keywords

  • Urban trees
  • computational design
  • data-driven design
  • knowledge graph
  • target-driven design

Fingerprint

Dive into the research topics of 'Digital Workflow for Novel Urban Green System Design Derived from a Historical Role Model'. Together they form a unique fingerprint.

Cite this