urbanLab Magazin 2021 - Transformation

„
Can data-driven tools provide a new method of approaching planning
climate first with tools such as nature-based solutions or blue-green
infrastructure aligned with conventional infrastructure to improve our cities today?
3.5 MODULE OPEN SPACE AND GREEN
By purposefully selecting tools related to increasing green infrastructure, biodiversity
(based on a spatial assessment known as the Biodiversity Area Factor utilised
by the German building council DGNB) increased almost 2x compared to the existing
condition. A 15% increase in Open Space Provision (subdivided into pure green
spaces, green roofs as well as trees) as well as an improvement of the Green Factor
from 0.65 to 1.05 (target range: 0.9, based on the rigorous methodology applied for
the Helsinki Green Factor) was also realised. Two areas within the Planning scenario
that performed less optimal than the Baseline were parameters related to CO2
Uptake (temporary carbon sequestration via primarily trees and green spaces) and
Air Pollutant Removal (via green infrastructure such as trees). The removal of existing
trees has a significant impact on these parameters. In order to optimise the
solution, two additional options were pursued.
• Option 1: adding trees on the new residential building as part of the intensive
green roof.
• Option 2: additionally planting new trees within the planning boundary at
ground level.
Cross comparison of three
options versus the baseline
SELECTED AS BASIS
HIGHEST PERFORMANCE
Stormwater Service
Level
BASELINE (EXISTING)
PREFERRED SCENARIO
OPT. 1: ADD 5 TREES ON ROOF
OPT. 2: ADD 13 TREES ON ROOF + SITE AT
GROUND LEVEL
Natural Water
Balance
Stormwater Quality
Improvement
Potable Water
Savings
Biodiversity (Factor)
Green Factor Score
Open Space
Provision
CO2 Uptake
Air Pollutants
Removal
LEGEND
BASELINE
PREFERRED SCENARIO
SCENARIO 1
SCENARIO 2
INDICATION OF HIGHEST PERFORMANCE FOR KPI
REGENERATIVE DESIGN
Project: ARGENTINIERSTRAßE 30A - Vienna - 304000318-AU_2020
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