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Created2016-08
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This report provides an implementation plan that allows the Arizona Department of Transportation and other agencies in Arizona to make optimal use, through local data inputs, of the United States (US) Environmental Protection Agency's (EPA) Motor Vehicle Emissions Simulator (MOVES) model. MOVES is the federally approved mobile source emissions model

This report provides an implementation plan that allows the Arizona Department of Transportation and other agencies in Arizona to make optimal use, through local data inputs, of the United States (US) Environmental Protection Agency's (EPA) Motor Vehicle Emissions Simulator (MOVES) model. MOVES is the federally approved mobile source emissions model for use in State Implementation Plan development and conformity analysis, and is recommended for other transportation air quality analysis purposes. EPA requires or recommends using local data for many of the model's inputs. This report includes an assessment of Arizona-specific data and the processing necessary to create these inputs, plus a demonstration of data-processing procedures using Yuma County as a case study. The recommendations are intended for applying the MOVES model anywhere in the state of Arizona, but are not meant to supersede work by metropolitan agencies that may use more detailed data than available in other regions of the state. This study focuses on the latest release of the model, MOVES2014.
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Created2012-03
Description

Land Use and Traffic Congestion is an investigation into the links among land use, travel behavior, and traffic congestion. Researchers focused on four transportation corridors in the Phoenix area: three older neighborhoods with relatively mixed, higher density land use, and one suburban area with lower density but high traffic volumes.

Land Use and Traffic Congestion is an investigation into the links among land use, travel behavior, and traffic congestion. Researchers focused on four transportation corridors in the Phoenix area: three older neighborhoods with relatively mixed, higher density land use, and one suburban area with lower density but high traffic volumes. The analysis suggested that the higher density corridors exhibited less congestion due to the greater mix of uses, shorter trip lengths, more travel by transit and non-motorized modes, and the presence of a secondary street grid system.