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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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CONNECT. TRANSFORM. AUTOMATE.
Michael Oberdries Growing Pains: The Auckland City ‘Capacity for Growth Study’
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
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.
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?
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
The Political Context …
But the biggest challenge of all ...
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
From a Workflow Schematic …
To FME Modelling Algorithms …
To Configurable Parameters …
Staged Implementation
Pilot Area
Legacy District
Supercity Region
INFILL is easy to detect visually …
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
But INFILL is difficult to computerize …
STEP 1 : Triangulate the vacant space on target parcels qualified by model constraints …
STEP 2 : Filter triangle candidates by AREA and SHAPE rankings …
STEP 3 : Replace triangle-geometry with circles to extend coverage on the vacant part of the parcel …
Every triangle has a circumscribed circle …
STEP 4 : Identify where the circle-geometry intersects the parcel polygon (exclusive of the building footprint) …
STEP 5 : Replace the circle-overlays with their b-box to extend coverage on the vacant part of the parcel …
STEP 6 : Identify where b-box geometry intersects the parcel polygon …
STEP 7 : Buffer building footprints and drop the INFILL candidates that exceed the zone min-area constraints …
STEP 8 : Qualify the INFILL candidates for building platform shape and test for road frontage access …
Back to the “real world” …
Business Capacity Modelling …
! Business capacity is constrained in 3 dimensions which means volumetric modelling
Consider a Business Zone and its neighbouring zones
Neighbouring zones affect business capacity : recession planes | yard setbacks | upper level road setbacks
STEP 1 : Extrude business parcels to their maximum allowable storeys
STEP 2 : Remove storeys within encroaching affectations to create the maximum permitted building envelope
STEP 3 : The potential for development is the difference between modelled and existing floor-space
STEP 4 : Illustrate various new development scenarios within maximum complying building envelope
FME generated GeoPDF Newmarket business area WITH (left) and WITHOUT (right) volcanic view-shaft height controls
Scenario Modelling …
Current Zoning Net Redevelopment Yield = 1065 new dwelling candidates
Test Zoning Net Redevelopment Yield = 2743 new dwelling candidates
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 …
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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