Metro 2010-2045 Growth Distribution Process Project Update to MTAC January 4, 2012.

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Presentation transcript:

Metro Growth Distribution Process Project Update to MTAC January 4, 2012

Process Outline and Schedule – page1 TimingActivity Description Oct. 2010Planning directors meeting to kick-off TAZ Forecast Nov Feb Update the crosswalk table between local zoning districts and MetroScope zone class (incorporate local review) Jan. – July 2011Develop MetroScope Supply Modules (TAZ subcommittee) (Capacity estimates for residential and employment) June 2011Release MetroScope Beta TAZ Forecast (agile version) (limited release of interim forecast product for EMCP and SW Corridor projects) July 2011Planning directors meeting to begin review of Supply Modules Aug. – Sep. 2011Finalize MetroScope Supply Modules (incorporates final recommendations of supply assumptions of Portland and suburban areas) Oct. 2011MetroScope Gamma TAZ Forecast starts now (tandem version) (land-use and transportation modeling are fully engaged in TAZ forecast) Nov. 2011Limited Release of Gamma 1.0 TAZ Forecast (agile) (interim forecast presented to Portland planning for comp plan review task) Regional TAZ Forecast Allocation

Process Outline and Schedule – page2 Dec Mar st preview of MetroScope Gamma Forecast (local governments can begin reviewing preliminary forecast data) Apr. 2012MetroScope Gamma TAZ Forecast restarts (tandem) June-July 2012Final Review of MetroScope Gamma Forecast Aug 2012Metro Council hearing and adoption of Official TAZ Forecast Next Steps? Mid-2012Commit work program to research supply and demand unresolved supply and demand issues identified during this TAZ forecast Regional TAZ Forecast Allocation

METROSCOPE MetroScope – equilibrium supply and demand real estate forecast model Integrated land use & transportation model to forecast TAZ-level employment and households. Key forecast & policy assumptions: Zoning data Capacity (supply) information – residential and employment Regional forecast data (demand) Regional TAZ Forecast Allocation

MetroScope Model Schematic Job Demand Forecast Travel Times/Access (Travel Demand Model) MetroScope Residential Model HIA Demand Forecast Land Supply / Capacity Data Vacant Land, Refill Supply, UR etc. MetroScope Non- Residential Model HIA location choices Job location choices HIA Location Choices Job Location Choices Demand Supply Regional TAZ Forecast Allocation Output

METROSCOPE: DEMAND DATA (MetroScope models the real estate demand factors) Regional TAZ Forecast Allocation Job Demand Forecast Travel Times/Access (Travel Demand Model) MetroScope Residential Model HIA Demand Forecast Land Supply / Capacity Data MetroScope Non- Residential Model HIA Location Choices

P t+1 = P t + b t – d t + m t (population eq.) Demand Data: Population Forecast (PMSA) Regional TAZ Forecast Allocation (x-axis denominated in years)

PMSA: Range Forecast Range ~ 2 std. dev Population: 2,226,009 (Census) 2035 Population: 3,210,000 (yellow line) Demand Data: Population Forecast Regional TAZ Forecast Allocation

Demand Data: Population Forecast Metro Council opts in UGB decision: Lower middle-third forecast range point value is assumed for TAZ Forecast (Gamma 2.0) Lower middle-third forecast range point value Standard Deviation Regional TAZ Forecast Allocation

Census headship rates: Convert Pop. to Household count (headship rates are age-adjusted persons per household) PMSA forecast is meted out to TAZ level. Metro UGB: 2010 Households: 584,000 (estimate) 2035 Low Middle-third: 852,500 (forecast) Demand Data: Population Forecast Portland-Vancouver-Hillsboro PMSA Regional TAZ Forecast Allocation

Convert household count to HIA distributions Demand Data: Population Forecast Iterative techniques use 2000 Census PUMS data to estimate households by :  Household size (7)  Income bracket (16)  Age of household head (7) Regional TAZ Forecast Allocation

PMSA: Range Forecast Range ~ 2 std. dev Population: 2,226,009 (Census) 2035 Population: 3,210,000 (yellow line) Demand Data: Employment Forecast Regional TAZ Forecast Allocation

Emp/pop ratio: Generate middle-thirds forecast An employment-population ratio is the approach used to create the employment thirds for the PMSA. In Metro UGB: 2010 Employment total: 756,000 (estimate) 2035 Low Middle-third: 1,174,000 (forecast) (shift-share methods are used to forecast UGB employment) Demand Data: Employment Forecast Portland-Vancouver-Hillsboro PMSA Regional TAZ Forecast Allocation

Demand Data: Employment Forecast Industry Description NAICS definitions url: MetroScope 15 Categories (SIC) Travel Demand Variable farm and forestry11, 211Afm construction232Con manufacturing31, 32, 33part of 3, 4, 5Mfg transport, warehousing, utilities22, 48, 496, part of 7Tpu wholesale trade428Wt retail trade44, 45, 729Ret finance, insurance, real estate52, 53, 5510Fi consumer, health, business services51, 54, 56, 61, 62, 71, 81 11, 12, 13, part of 3, part of 7Ser government, K-12 eduGov. ownership14, 15Gov Regional TAZ Forecast Allocation

METROSCOPE: SUPPLY DATA (MetroScope models the real estate supply-side capacity components) Regional TAZ Forecast Allocation Job Demand Forecast Travel Times/Access (Travel Demand Model) MetroScope Residential Model HIA Demand Forecast Land Supply / Capacity Data MetroScope Non- Residential Model HIA Location Choices

Supply Data (Capacity …not the same as the UGR ) OREGON part of PMSA Metro UGB 99% zoned urban, few places still designated as future urban development (FUD) – Vacant (source: RLIS ) – Infill and redevelopment (source: RLIS and TAZ subcommittee) – Subsidized res. redevelopment in “centers” (source: Metro Res. Center) Metro “new urban” post-1997 UGB adds, no urban zoning, some with concept plans Urban Reserves Rural Tri-counties M-37/49 + uninc. rural residential and exception areas Neighbor Cities some w/ GIS BLI supply data, most capacity imputed by Research Center Ex-urban Counties (Columbia, Marion(part) and Yamhill) some w/ GIS BLI supply data, most capacity imputed by Research Center from State OEA data WASHINGTON STATE part of PMSA Clark County and Cities (source: Clark county GIS data (VBLM modeled data) Regional TAZ Forecast Allocation

Supply Data: MetroScope Capacity Concepts Regional TAZ Forecast Allocation

Supply Data: Metro UGB Residential Regional TAZ Forecast Allocation

Supply Data: Metro UGB Non-Res Regional TAZ Forecast Allocation

Supply Data: Subsidized Redevelopment Regional TAZ Forecast Allocation

Supply Data: Metro Urban Reserves Regional TAZ Forecast Allocation

Supply Data: Ex-UGB Capacity Regional TAZ Forecast Allocation

Supply Data: Clark County Regional TAZ Forecast Allocation Clark County Residential DU Capacity Estimates: SF = 67,000 MF=45,700

Supply Data: Clark County Regional TAZ Forecast Allocation

25 Supply Data: Residential Capacity (PMSA)

Regional TAZ Forecast Allocation 26 Supply Data: Residential Capacity (UGB)

Regional TAZ Forecast Allocation 27 Supply Data: Capacity by Type (UGB)

Regional TAZ Forecast Allocation 28 Supply Data: Single Family Capacity (UGB)

Regional TAZ Forecast Allocation 29 Supply Data: Multi-family Capacity (UGB)

METROSCOPE TRAVEL DEMAND DATA Travel time skims linked to residential zones are a factor in determining residential location choice Regional TAZ Forecast Allocation Job Demand Forecast Travel Times/Access (Travel Demand Model) MetroScope Residential Model HIA Demand Forecast Land Supply / Capacity Data MetroScope Non- Residential Model HIA Location Choices

MetroScope uses travel time skims which are linked to census tracts to form a web of travel times from origins to all destinations (O-D pairs) Travel times are updated 7 times at every 5-year interval during the forecast horizon with new networks at select intervals Travel times dictate - in part - location choices of households subject to willingness to pay (i.e., household income), size and age, and available supply of appropriate housing to match family characteristics Travel Demand Data: Travel Times Regional TAZ Forecast Allocation

Travel Demand Data: Travel Times Travel Time from Portland CBD Modeled hour PM Peak An example of typical travel time O-D pairings between downtown Portland and elsewhere in the region Regional TAZ Forecast Allocation

Travel Demand Data: Travel Times Travel Time from Wilsonville Modeled hour PM Peak Regional TAZ Forecast Allocation

34 Travel Demand Data: Travel Networks Networks in TAZ GAMMA Forecast 2010 existing 2017 network 2035 RTP Federal (Constrained) 2035 RTP State (Strategic)

METROSCOPE LAND USE TAZ ALLOCATION FORECAST An equilibrium solution (balancing supply and demand for housing) is derived from the regulated buildable land inventory (BLI) and Metro “lower middle-third” regional population & employment forecast Regional TAZ Forecast Allocation 35 Job Demand Forecast Travel Times/Access (Travel Demand Model) MetroScope Residential Model HIA Demand Forecast Land Supply / Capacity Data MetroScope Non- Residential Model HIA Location Choices

Recap and Next Steps Progress to date - accomplishments Concerns (next slide) Research agenda to address concerns Regional TAZ Forecast Allocation 36

Key Concerns - Forecast Inputs and Assumptions: Single family housing supply Equity and price effects (economic dislocations) Redevelopment (economic thresholds) Redevelopment of relatively new development Mixed use residential (horizontal districts) Mixed use residential density assumptions (MUR 9-10) Market differentiation by household type, tenure and location Regional TAZ Forecast Allocation 37 Gamma 1.0 TAZ Forecast: Preliminary Forecast

Research Agenda Proposed improvements to the forecast distribution process:* – Residential choice study enhanced with market segmentation – Redevelopment supply assumption refinement – Review actual development densities in high density multifamily and mixed use residential zone classes *depending on funding availability Regional TAZ Forecast Allocation 38

EXAMPLES ILLUSTRATING KEY CONCERNS – SINGLE FAMILY, FUTURE PRICING TRENDS AND EQUITY 39

Regional TAZ Forecast Allocation 40 Beta TAZ Forecast: Preliminary Household Forecast – SFR/MFR splits

SF inventories are expected to dwindle faster than replenishment rates Causing a surplus in SF residential demand Resulting in further increases in SF home prices over the forecast Regional TAZ Forecast Allocation 41 Beta TAZ Forecast: Preliminary Household Forecast – SFR Price Projection

Beta TAZ Forecast: Preliminary Household Forecast (SF) Regional TAZ Forecast Allocation 42