Uncertainty Considerations in Green Infrastructure Optimization: A Review

Nastaran Tebyanian, Hong Wu, Lisa Iulo, Klaus Keller

Research output: Contribution to journalArticlepeer-review

1 Scopus citations


Urban landscape planners and policymakers aim to find robust/optimal green infrastructure (GI) placement solutions that can perform well over a wide range of plausible futures and meet different objectives. While some studies on the spatial allocation of GI embraced multi-objective optimization to inform multi-functional GI placement decisions, many GI optimization studies are silent on potentially important questions raised by the deep uncertainties surrounding GI models, decision levers, and success metrics. This review paper provides an overview of this research gap, potentially relevant uncertainties for GI placement, and suggested research directions.

Original languageEnglish (US)
Pages (from-to)549-560
Number of pages12
JournalJournal of Digital Landscape Architecture
Issue number7
StatePublished - 2022

All Science Journal Classification (ASJC) codes

  • Geography, Planning and Development
  • Architecture
  • Computer Science Applications
  • Nature and Landscape Conservation


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