Growing Pains - The Auckland Capacity for Growth Study

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Auckland Council’s growth projections indicate that the city needs to find development capacity for 400,000 new dwellings by 2041. To better understand the quantity and location of development capacity in their region the Council commissioned the ‘Capacity for Growth Study’. Through this study this presentation explores how FME was used to generate a number of innovative spatial data modelling algorithms to measure the vacant, redevelopment and infill development capacity across residential, business and rural-residential land use designations.

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Growing Pains - The Auckland Capacity for Growth Study

  1. 1. CONNECT. TRANSFORM. AUTOMATE. Michael Oberdries Growing Pains: The Auckland City ‘Capacity for Growth Study’
  2. 2. The Auckland Region !  Encompasses the Auckland metropolitan area, smaller towns, rural areas, and the islands of the Hauraki Gulf !  Population of 1.5 million !  Is home to 1/3 of all New Zealand’s residents
  3. 3. So what is the Capacity for Growth Study (CfGS) ? !  The CfGS is a way to measure the capacity a region has for accommodating residential and business growth under an operative (or proposed) planning rule book? !  The CfGS is a census of plan-enabled capacity.
  4. 4. The Strategic Context … !  A 30 year vision; !  For 1 million more people; !  For 400,000 more dwellings; !  Understanding WHEN, WHERE and HOW growth may occur?
  5. 5. The Operational Context … !  The restructuring of Local Government in Auckland … !  Combining the functions of a regional council and 7 city and district councils into an Auckland “Super City” !  Transitioning from 4 regional plans + 7 district plans to a single Auckland Unitary Plan
  6. 6. The Political Context …
  7. 7. But the biggest challenge of all ...
  8. 8. So what does the CfGS deliver? Questions Segmentations !  Residential !  Business Commercial !  Business Industrial !  Rural Residential Assessments !  Vacant land !  Redevelopment potential !  Infill capacity potential !  Vacant potential Data Parcels Rates assessments Titles Building footprints Zoning District plan provisions Environmental data Infrastructure/services Floor space data Employee counts Dwelling counts Capacity Model
  9. 9. From a Workflow Schematic …
  10. 10. To FME Modelling Algorithms …
  11. 11. To Configurable Parameters …
  12. 12. Staged Implementation Pilot Area Legacy District Supercity Region
  13. 13. INFILL is easy to detect visually …
  14. 14. INFILL is easy to conceptualise... Residential parcel Building footprint District plan set backs Geo-processing to calculate vacant portion of parcel Geo-processing to check for vehicle access to the street Calculate capacity Yield (dwellings) Yield = x additional dwellings
  15. 15. But INFILL is difficult to computerize …
  16. 16. STEP 1 : Triangulate the vacant space on target parcels qualified by model constraints …
  17. 17. STEP 2 : Filter triangle candidates by AREA and SHAPE rankings …
  18. 18. STEP 3 : Replace triangle-geometry with circles to extend coverage on the vacant part of the parcel …
  19. 19. Every triangle has a circumscribed circle …
  20. 20. STEP 4 : Identify where the circle- geometry intersects the parcel polygon (exclusive of the building footprint) …
  21. 21. STEP 5 : Replace the circle-overlays with their b-box to extend coverage on the vacant part of the parcel …
  22. 22. STEP 6 : Identify where b-box geometry intersects the parcel polygon …
  23. 23. STEP 7 : Buffer building footprints and drop the INFILL candidates that exceed the zone min-area constraints …
  24. 24. STEP 8 : Qualify the INFILL candidates for building platform shape and test for road frontage access …
  25. 25. Back to the “real world” …
  26. 26. Business Capacity Modelling … !  Business capacity is constrained in 3 dimensions which means volumetric modelling
  27. 27. Consider a Business Zone and its neighbouring zones
  28. 28. Neighbouring zones affect business capacity : recession planes | yard setbacks | upper level road setbacks
  29. 29. STEP 1 : Extrude business parcels to their maximum allowable storeys
  30. 30. STEP 2 : Remove storeys within encroaching affectations to create the maximum permitted building envelope
  31. 31. STEP 3 : The potential for development is the difference between modelled and existing floor-space
  32. 32. STEP 4 : Illustrate various new development scenarios within maximum complying building envelope
  33. 33. FME generated GeoPDF Newmarket business area WITH (left) and WITHOUT (right) volcanic view- shaft height controls
  34. 34. Scenario Modelling … Current Zoning Net Redevelopment Yield = 1065 new dwelling candidates Test Zoning Net Redevelopment Yield = 2743 new dwelling candidates
  35. 35. Benefits from the CfGS More informed decision making … !  Time and resource savings !  Project duration: 12 months, compared to 4 years !  Data modelling repeatability !  1 to 2 days to run all models to completion !  Configurable “What if?” scenario modelling !  Improved information for stakeholders !  A data driven, evidence based approach !  Independent of the political pressures around outcomes !  Creation of data framework for additional research …
  36. 36. Thank You! !  Questions? !  For more information: !  michael@oberdries.com !  Oberdries Consulting Ltd !  http://www.aucklandcouncil.govt.nz/EN/ planspoliciesprojects/reports/technicalpublications/ Pages/capacityforgrowthstudy.aspx CONNECT. TRANSFORM. AUTOMATE.

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