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APA UpperMidwest Four State Conference

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Create a national marketplace for TOD, working with cities, ... Realtor.com. Support Academic Research. EJ, Effects of Sprawl, Poverty, Economic Development ... – PowerPoint PPT presentation

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Title: APA UpperMidwest Four State Conference


1
APA Upper-Midwest Four State Conference
  • October 4, 2006

2
Center for Transit-Oriented Development
  • Create a national marketplace for TOD, working
    with cities, transit agencies, developers,
    investors and communities.
  • A collaboration with Reconnecting America, The
    Center for Neighborhood Technology, Strategic
    Economics, and real estate and transit experts
  • Performing joint research effort funded by FTA
    and HUD to look at linkage between TOD and
    affordable housing

http//www.reconnectingamerica.org
3
Overview
  • What is the HT Affordability Index?
  • Why / Purpose
  • How does it work Model Mechanics and Background
  • Who Potential Applications
  • When Project Timeline and Index Availability

4
What is the Housing Transportation
Affordability Index?
A tool to measure the 2 largest household costs
housing and transportation by neighborhood.
By measuring these costs, the HT Affordability
Index is also measuring the quality,
attractiveness, and convenience, of the
neighborhod.
5
Why The Power of Information
  • Brookings Urban Markets and Living Cities
    Initiatives

Healthy Urban Commun- ities
Actionable Knowledge
Urban Market Actors
Data Reporters
Collection Agencies
Information Analysts
Access Tools
  • Pilot Projects Information Innovations to Spur
    Markets at Local Level
  • Housing/Transportation Affordability Index
  • PAID-Using Utility Payments to Bolster Credit
    Scores
  • Map/Analysis/Action on Correlates of Neighborhood
    Decline and Resurgence
  • Intelligent Middleware to Understand Urban
    Markets
  • Dec Support Tools for Urban Real Estate Markets
  • PPND Pittsburgh Community Info System
  • Federal/State Urban Information Policy
  • NICS Infrastructure for Community Statistics
  • Specific data issues of interest to urban
    markets
  • ACS, GMP, LED
  • Monitor surveys and data collection activities
  • Scan federal urban data/information issues

UMI Program Areas/Activities
6
Why To Understand affordability, its impacts,
and potential solutions
  • Since at least 1984, Housing and Transportation
    have been the 2 largest household costs
    consuming at least 50 of income for the average
    household

7
Why To Understand affordability, its impacts,
and potential solutions
  • The more households spend on housing and
    transportation, the less they have to spend on
  • Savings
  • Education
  • Healthcare- preventive and acute
  • Entertainment
  • Retail and other goods in the local economy
  • If we can define the reasons for high
    neighborhood transportation costs, we can
    understand
  • What to build?
  • Where to build, and where to live?
  • Who benefits?

8
Background and Model Mechanics
9
What drives HT Costs?
  • We know housing costs and what drives them
  • Location, location, location and
  • Housing size, construction, materials, amenities
    and
  • Fees, taxes
  • What about transportation costs? .Its more than
    the price at the pump or the price of the car
  • Location, location, location and
  • Car costs, annual miles, gasoline costs, transit
    fares
  • Household size and income
  • But total transportation costs by location are
    not reported ...until now

10
What about Location?
  • Transportation costs vary by place, depending on
  • Access to services
  • Walkable destinations
  • Extent and frequency of transit
  • Access to jobs
  • Density
  • Households who live in location efficient
    neighborhoodsregardless of size and income
  • own fewer vehicles and drive fewer miles, and
    therefore have lower transportation costs
    (Location Efficiency Study. CNT, STPP, NRDC,
    2000)

11
Modeling the T of the HT Index
  • We analyze the Urban Form and the Household
    Characteristics of neighborhoods to predict the
    three major components of total household
    transportation costs.

Autos Owned Auto Use Transit Use
Total Transport Cost
x price /unit
12
Independent Local Environment Variables Density
Measures
Local Environment Variable
Autos/Household
13
Independent Local Environment Variables Mobility
14
Independent Local Environment Variables Mobility
15
Independent Local Environment Variables Mobility
16
Independent Local Environment Variables Access
to Jobs and Amenities
17
Independent Household Variables
Autos/Household
Autos/Household
18
Dependent Variables
19
Can This
Predict this?
20
Optimizing the Model
  • Combining the variables into a model
  • Multiple regression modeling to fit each of the
    3 dependent variables to the 7 independent urban
    form variables
  • Then same modeling is used to fit the 2
    household variables to the 7 urban independent
    variables
  • for a total of 21 fits to create the pilot model
  • Model development corroborates with Location
    Efficiency Study
  • The 7 urban form variables, and the two household
    variables were all needed to optimize the model
  • the Urban Form variables are more important than
    Household variables (in large urban areas)

21

VS. Auto Ownership
Seven Urban Form Variables





22
Model Mechanics
  • Example of fit for Auto Ownership

Fit of HH Variable Controlling for Local
Environment Variables
Fit Example for an Independent Variable
23
Pilot Results Minneapolis St. Paul
24
Modeled by Neighborhood, Income, and Size,
25
Applications
  • Proposed
  • Actual to Date

26
Proposed Users and Uses
  • Community Groups
  • Campaigns for transit, community reinvestment,
    affordable housing, and smart growth
  • Transportation for Livable Communities, Twin
    Cities
  • Red Line Coalition, Roseland Community in Chicago
  • Business Groups
  • Common ground for community, government, and
    business on choices about development, housing,
    and public investment
  • Atlanta Quality Growth Task Force
  • Development and Real Estate Community
  • New tool for realtors, developers, and bankers to
    understand, market and capitalize on relative
    affordability of different neighborhoods
  • Realtor.com
  • Support Academic Research
  • EJ, Effects of Sprawl, Poverty, Economic
    Development
  • Temple University Metropolitan Philadelphia
    Indicators Project

27
Proposed Users and Uses
  • Transit Agencies
  • Estimate benefit or cost to households from
    service and system changes
  • Promote transit ridership with savings campaigns
  • State
  • Cost of living as criteria for state housing
    transportation plans, funds
  • Legislate alignment across jurisdictions to
    improve cost of living
  • MPO and County planning
  • Reduce Transportation Costs as a Goal in long
    range plans
  • Target funding programs for TOD, livable
    communities, etc.
  • Transportation impacts of fair housing plans,
    (King County HCD)
  • Municipalities
  • Support changes to ordinances that would better
    support transit use, and HT affordability e.g.,
    parking, height, density, inclusionary zoning,
    etc.
  • Goal in comprehensive plans

28
Champaign-Urbana Mass Transit District Long Range
Mobility Study
  • Transport costs are lowest in MTD Service Area
  • Substantial Growth is occurring outside this area

DRAFT
29
Champaign-Urbana Mass Transit District
  • Distance to Employment and Amenities has a strong
    relationship to auto ownership

30
Understanding the Model Results
DRAFT RESULTS
31
Denver TOD Strategic Planning
  • For Mayors office and Enterprise
  • Comparing incomes of residents to transportation
    costs and proposed new lines
  • Concerns about gentrification, getting good TOD,
    development costs

32
Chicago Area Planning Agencies
  • CNT is advocating for its use by RTA in project
    selection, CMAP in Framework plan, individual
    municipalities
  • Standard Measures and Criterion
  • Sewer connections
  • New Jobs
  • Median Incomes
  • Congestion Levels
  • Commute Time
  • Alternative Criterion and Measures
  • Infrastructure costs/capita
  • Jobs in low T cost areas
  • of income on HT
  • Commuters by non-SOV
  • Neighborhood mobility levels

33
Can Households Afford Where they Live?
A new way to view regions
High H
High HT
Low HT
High T
34
Working Households (20,000 to
  • High H Pushed (22)
  • high housing costs, overcrowding to live near
    jobs and transit
  • 48 on HT
  • High T Pulled (25)
  • pulled toward low housing, away from jobs and
    best transportation
  • 60 on HT
  • Low HT Stretched (28)
  • high incomes, employment centers, little
    affordable housing
  • 59 on HT
  • High HT Left Behind (25)
  • fewer jobs, fewer amenities and services
  • 53 on HT

  • 35
    Transit Zones Affordability Index
    • Proximity to transit without density, services,
      jobs, and walkability will not alone lower
      transportation costs

    36
    Timeline and Availability
    37
    Project Timeline
    Fall 2006
    Winter 2006-2007
    Spring 2007
    • Website available by March 31
    • Available on DataPlace.org
    • Free and fee-based information
    • Use in studies and plans for regions, cities,
      advocates
    • Developing website
    • Reviewing new results with advisory committee
    • Operations plan to maintain model and website
    • Use in studies and plans for regions, cities,
      advocates
    • Creating 6 versions of the model by metro type
    • Applying new models to 49 metro areas
    • Adjusting prices for autos and gasoline
    • Study on 28 metros for NHC released 10/11/06

    38
    Project Information
    • Center for Neighborhood Technology
    • Full white paper on the model and Presentations
      at www.cnt.org/resources
    • carrie_at_cnt.org or 773.269.4093
    • Brookings Metropolitan Program, UMI
    • http//www.brookings.edu/metro/umi.htm
    • Center for Transit-Oriented Development
    • http//www.reconnectingamerica.org/html/TOD/index.
      htm
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