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Mike McCoy

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Medium-sized MPOs and RTPAs in California consider ... Judgement. Fresno. San Joaquin. Boise. New Hampshire. San Francisco County. Policy Trends Allocation ... – PowerPoint PPT presentation

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Title: Mike McCoy


1
The Path to Integrated Modelsin California
NYMTC May 1, 2008
  • Mike McCoy
  • Information Center for the Environment
  • U.C. Davis
  • http//ice.ucdavis.edu

2
2005 Review California MPO Practice and Needs
3
(No Transcript)
4
Criteria
5
Recommendations
  • The four large MPOs (SCAG, MTC/ABAG, SANDAG, and
    SACOG) strongly consider implementing an
    integrated economic model in the near future.
  • Medium-sized MPOs and RTPAs in California
    consider implementing simpler urban models, such
    as PLACES, What If?, UPlan, and others.
  • Data sharing should be instituted among MPOs,
    RTPAs, and Caltrans (much like NYMTC Strategic
    Data Coordination Effort).
  • Caltrans should consider implementing a statewide
    integrated interregional urban model.

6
NYMTC
ABAG/ MTC
ABAG/ MTC
ABAG/ MTC
7
Results/Status
  • SACOG calibrating PECAS, SANDAG developing PECAS,
    SCAG at RFP stage for integrated economic model,
    ABAG assembling data for integrated economic
    model
  • 18 Medium-sized MPO/RTPAs have installed and are
    using UPlan integrated with their travel models.
  • Data sharing begun between SCAG, SANDAG, ABAG and
    SACOG. Center for data management being given
    funding consideration by State
  • First phase of statewide demonstration
    interregional PECAS model finished in June 2008.
    Second phase demonstration PECAS model complete
    June 2009. First production PECAS model expected
    in June 2010

8
Land Use Affects Travel Demand Travel
Facilities Affect Land Use and They All Affect
the Economy
Why Did These Users Adopt?
9
Moreover
  • 1. These models allow us to test a wide variety
    of policy, planning and investment alternatives
  • 2. They create a consistent set of economic
    rules and criteria to test the alternatives.
  • 3. They respond to a wide variety of statutes
    requiring more accurate forecasts than in the
    past.

10
Most Importantly Its About the 3 Es
  • Economic benefits for the state and its counties
  • Equity benefits for households by income
  • Environmental
  • Air quality and GHG production
  • Conversion of habitats and ag lands

11
How Do The Models Do This?The SACOG Case
12
Goods, Services, Labor and Space







Producing Sectors









Economic Flows






Consuming Sectors













13
Economic Interactions Production - Exchange -
Consumption
total consumption
buying allocation process
exchange zone
exchange zone
exchange zone
selling allocation process
total production
total production
total production
14
Economic Interactions Production - Exchange -
Consumption
1
allocating production activity to zones
production allocation
allocating consumption to commodities
allocating production to commodities
2
technology selection
3
allocating produced commodities to selling
locations
selling allocations
buying allocations
allocating consumed commodities to buying
locations
3-level nested logit model
15
Introduction PECAS Zones
Production Location
Consumption Location
exchange zone
Consumption Location
16
Introduction Hypothetical Proposed Road
17
Without Road 2050 Commercial Floorspace per
Zone Increase
18
With Road 2050 Commercial Floorspace per Zone
Increase
19
Now how will this help conform to statute?
  • SAFETEA-LU 4 objectives
  • Increase mobility and economic development
  • Decrease pollution and Green House Gasses
  • Context sensitive planning
  • Scenario Planning

20
How will this help conform to statute?
  • Clean Air Act
  • GHG Measures
  • Clean Water Act
  • Runoff
  • Civil Rights Act
  • Environmental Justice
  • Executive Order 12898
  • FESA
  • Conversion of habitat for listed species

21
What Did It Cost Them Staff
  • Forecast Program Manager
  • Transportation Modeler
  • Land-Use Modeler
  • Regional Economist
  • Socio-Economic (Demographic) Modeler
  • Programmer (Advanced)

22
What Did It Cost Them Data
  • Transport
  • Transport costs for goods and services
  • Off-peak auto times and cost skims from travel
    model
  • Value of time and commuting cost for labour
  • Land Use
  • Land cover data with existing use, zoning,
    vacant/protectedintensity of development
  • Floorspace
  • Real estate prices by TAZ
  • Typical floorspace use rates by household type
    and housing type from PUMS

23
What Did It Cost Them Data
  • Typical floorspace use rates by employment type
  • Relative quantity of housing by zone from Census
    SF3Crosstab of space type by household type
  • Relative quantity of housing by zone from Census
    SF3Crosstab of space type by household type
  • Construction cost data
  • Employment
  • Employment by occupation and household category
  • Occupation by industry crosstab from PUMS ES202
    or InfoUSA data on employment location
  • Census
  • Census household distributions by TAZ

24
What Did It Cost Them Time
  • Time
  • Build
  • 2 Year minimum process
  • 3 Years easier on everybody
  • Run
  • About 30 hours per scenario

25
What Are They Doing Next
  • SACOG will finish calibration and study
    investment and policy
  • SANDAG will use their model to figure out how to
    direct development to the nodes they recognized
    in their Regional Comprehensive Plan
  • The Statewide model will be used by the
    Governors Office for interagency infrastructure
    investment decisions

26
Wide Range of Modeling Papers, Information and
the UPlan User Manualwww.ice.ucdavis.edu/ummcm
ccoy_at_ucdavis.edu
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