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Data:
    Overview
1. Income and Vehicle Ownership
2. Age and Vehicle Ownership
3. Density, Transit and Vehicle Ownership
4. Price of Parking and Vehicle Ownership
5. Trip Generation Data
6. Getting Local Data
 

3. Density, Transit and Vehicle Ownership


This section is intended to address two questions about vehicle ownership and thus demand for parking at housing developments:

Do households in higher density areas have lower rates of vehicle ownership, keeping other factors equal, like income?

Do households living in neighborhoods with better transit service have lower rates of vehicle ownership, again, other things equal?

Unfortunately, this is not an issue in which simple data can help answer the question.  However, this issue has been studied somewhat, and generally the answer is yes to both questions. 

The impact has been best incorporated by the research for the Location Efficient Mortgage.  Density, transit and demographic factors interact to impact vehicle ownership.  The interaction has been modeled and can be used by planners and developers to help predict likely vehicle ownership (and vehicle miles traveled) of future residents of a development.  This tool is explained and available in the Model section of this website.

Unfortunately not many studies have looked closely at neighborhood characteristics and vehicle ownership.  Three of the most relevant studies are summarized below:

Places Studied Study Description Finding Source
27 California Neighborhoods (from San Francisco, Los Angeles, San Diego, and Sacramento Regions) Compared density, transit service, neighborhood shopping, and pedestrian accessibility with auto ownership and vehicle miles traveled.  Demographic characteristics were somewhat controlled for by selecting communities with similar incomes. Auto ownership declined in each region as density of each neighborhood increased. Doubling density resulted in a 16% reduction in vehicle ownership per household.  There was not enough data to detect whether transit service, neighborhood shopping, and pedestrian accessibility had an impact on vehicle ownership independent from density.  Holtzclaw
Nationally by Zipcode Modeled vehicle ownership, vehicle trips, and vehicle miles traveled with zipcode densities, incomes, transit service and demographic factors using NPTS data.  For each 1 percent increase in density (about 2/3 of a unit per acre), vehicle ownership fell by 0.11 vehicles per household. Schimek
Bay Area (1,000 traffic analysis zones and 1,200 Census tracts) Combined land use data and Bay Area travel survey data to explore impacts of mixed use, land use balance, and density on travel behavior controlling for income and demographic factors. -Auto ownership is lower in areas with mixed-use, near jobs, and higher density.

-Auto ownership is more significantly influenced by local attributes of the build environment (density and land use balance) than VMT and mode choice.

Kockelman

Sources:

Holtzclaw, John. 1994. Using Residential Patterns and Transit to Decrease Auto Dependence and Costs. San Francisco: Natural Resources Defense Council.

Schimek, Paul. 1996. Household Motor Vehicle Ownership and Use: How Much Does Residential Density Matter? Washington DC: National Research Council, Transportation Research Board.

Kockelman, Kara M. 1997. Travel Behavior as a Function of Accessibility, Land Use Mixing and Land Use Balance: Evidence From the San Francisco Bay Area. Washington, D.C.: National Research Council, Transportation Research Board.

 




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