Evaluation of sketch-level VMT quantification tools : strategic growth council grant programs evaluation support project.
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2017-08-01
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Abstract:The State of California has enacted ambitious policies that aim to reduce the state’s greenhouse
gas (GHG) emissions. Some of these policies focus on reducing the amount of driving
throughout the state, measured in vehicle miles traveled (VMT), given that transportation,
primarily automobile use, is the largest single source of California’s GHG emissions.1 To
encourage local plans and projects that reduce VMT, California has established several grant
programs to which local jurisdictions may apply.
These grant programs have generated a need for methods to estimate the potential VMT – and
thus GHG – impacts of proposed planning efforts, land development projects, and
transportation projects. A range of VMT estimation methods are available for use by funding
applicants. Regional travel demand models, for example, are used to estimate the VMT and
GHG implications of alternative scenarios in the development of federally-required regional
transportation plans and state-required sustainable communities strategies. These models are
resource intensive, however, requiring modeling expertise and sometimes many days to
complete a single analysis. To fill the need for less resource-intensive methods more
appropriate for localized plans and individual projects, upwards of a dozen “sketch” tools have
been developed.
These sketch tools vary in their approach and appropriateness for the breadth of development
projects and project locations in the state. Practitioners are often unsure as to which method
to use for a particular project and have little information to guide their choice. In this report we
compare and evaluate VMT estimation tools across a sample of land use projects. We compare
the results from different tools for each project, consider the applicability of methods in
particular contexts and for different types of projects, and assess data needs, relative ease of
use, and other practical considerations.
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Main Document Checksum:urn:sha-512:70b8c7d7a2100075c1060bad980ac90de0e8568c36044ab8cbfc7fefba211205712821f76b3faff9c86838feb8ec97689900631798413bf6c222ba4f87a1a8bb
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