Journal of Digital Landscape Architecture

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Uncertainty Considerations in Green Infrastructure Optimization: A Review

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.

Autor / Author: Tebyanian, Nastaran; Wu, Hong; Iulo, Lisa; Keller, Klaus
Institution / Institution: Penn State University, Pennsylvania/USA; Penn State University, Pennsylvania/USA; Penn State University, Pennsylvania/USA; Thayer School of Engineering, Dartmouth College, New Hampshire/USA
Seitenzahl / Pages: 12
Sprache / Language: Englisch
Veröffentlichung / Publication: JoDLA – Journal of Digital Landscape Architecture, 7-2022
Tagung / Conference: Digital Landscape Architecture 2022 – Hybrid Landscapes
Veranstaltungsort, -datum / Venue, Date: Harvard University, Cambridge Mass, USA 09-06-22 - 10-06-22
Schlüsselwörter (de):
Keywords (en): Green infrastructure, decision making, uncertainty, optimization, spatial allocation
Paper review type: Full Paper Review
DOI: doi:10.14627/537724052
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