how disruptive technology automated auckland council's 'capacity for growth' study
TRANSCRIPT
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How Disruptive Technology Automated Auckland Council's 'Capacity for Growth' StudyApril 14, 2016
Aaron KoningFME Server Product ManagerSafe Software
CanberraMelbourne
Sydney
Locate 16Locate 16
CanberraMelbourne
Sydney
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Agenda
Auckland Council
Capacity Measurement
Residential and Commercial
Algorithms
Smart Moves
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The man behind the algorithmsAlgorithms developed by:
Michael Oberdries, Oberdries Consulting
Ltd As an employee of Critchlow Ltd
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Auckland City CouncilIncorporating 7 cities and districts to become a Super City.
1.5 million people, 33% of the population of New Zealand.
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The ChallengeA 30 year plan that includes the addition of 1 million people and 400 thousand dwellings.
Super City incorporates 4 regional plans and 7 district plans.
Politics and Media.
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Capacity of Growth StudyDetermine how many people can be added to a region given planning provisions.
Scheduled every 5 years.
Previous plan required 4 years to finalize.
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The Study
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Assessments• Vacant land• Vacant potential• Redevelopment
potential• Infill capacity
potential
Segmented by• Residential• Commercial• Industrial• Rural
Outputs
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Developing CapacityThree methods:● Expand city limits.● Develop new land that lacks infrastructure.● Look for capacity in existing developed areas
(Infill).
Infill is the most cost effective.
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Infill in the blanks
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Spot the Infill: in-personLook out back of your house...● Do you have space to lawn bowl?● Is it reasonable to play AFL, rugby or football out
there?● Do you have a riding lawn mower?● Does your horse look happy?
There’s potential for people to be there instead.
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Spot the Infill: from the air
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Spot the Infill: from the air
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Spot the Infill: from the computer
??
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Inputs
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Algorithm
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Residential Infill
Computed
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Residential Planning Provisions● Area thresholds
● Building setbacks
● Access widths
● Density controls
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A story of:
triangles and circles and squares and buffers.
Oh my!
Residential Infill Algorithm
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TIN the parcel
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Find the big triangles
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Circle the triangles
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Clip the circle from the parcel
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Fit an oriented bounding box
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Clip the box from the parcel
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Clip the building offsets from the parcels and qualify area size
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Qualify road access
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Results
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Commercial Infill
Computed
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Commercial Planning ProvisionsMaximum number of stories
Recession planes
Yard setbacks
Upper level road setbacks
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Start with flat boundaries
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Boxes to represent floors
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Boxes for setbacks and recessions
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Recessions planes looking like staircases
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Clip the setbacks/recessions from the infill
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Smart MovesStaging
Repeating
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Staged Implementation
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RepeatabilityComputation only takes 1 to 2 days for 500,000 parcels.
Enables near-real-time scenario modelling.
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What-if Scenarios?Planning provisions are stored in Excel file.Planners can tweak provisions like setbacks or densities without touching the modelling algorithm.Planners can run the model themselves.
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Changing the RulesSmall provision changes can result in large increases in capacity.
Current Zoning Net Redevelopment Yield = 1065 new dwelling candidates
Test Zoning Net Redevelopment Yield = 2743 new dwelling candidates
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In the EndCapacity Planning Evolved
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SummaryStudy took 12 months to develop instead of 4 years.Data driven, evidence based approach can be scientifically criticized. Less emotional, less political, more accurate.Modelling algorithm is self-documented and repeatable.Assessments can now be regenerated in days.Planning staff are empowered to drive the scenarios.
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