Title: APA UpperMidwest Four State Conference
1APA Upper-Midwest Four State Conference
2Center 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
3Overview
- 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
4What 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.
5Why 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
6Why 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
7Why 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?
8Background and Model Mechanics
9What 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
10What 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)
11Modeling 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
12Independent Local Environment Variables Density
Measures
Local Environment Variable
Autos/Household
13Independent Local Environment Variables Mobility
14Independent Local Environment Variables Mobility
15Independent Local Environment Variables Mobility
16Independent Local Environment Variables Access
to Jobs and Amenities
17Independent Household Variables
Autos/Household
Autos/Household
18Dependent Variables
19Can This
Predict this?
20Optimizing 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
22Model Mechanics
- Example of fit for Auto Ownership
Fit of HH Variable Controlling for Local
Environment Variables
Fit Example for an Independent Variable
23Pilot Results Minneapolis St. Paul
24Modeled by Neighborhood, Income, and Size,
25Applications
26Proposed 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
27Proposed 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
28Champaign-Urbana Mass Transit District Long Range
Mobility Study
- Transport costs are lowest in MTD Service Area
- Substantial Growth is occurring outside this area
DRAFT
29Champaign-Urbana Mass Transit District
- Distance to Employment and Amenities has a strong
relationship to auto ownership
30Understanding the Model Results
DRAFT RESULTS
31Denver 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
32Chicago 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
33Can Households Afford Where they Live?
A new way to view regions
High H
High HT
Low HT
High T
34Working 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 35Transit Zones Affordability Index
- Proximity to transit without density, services,
jobs, and walkability will not alone lower
transportation costs
36Timeline and Availability
37Project 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
38Project 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