Abstract
Transportation planning has historically relied on statistical models to analyze travel patterns across space and time. Recently, an urgency has developed in the United States to address outdated policies and approaches to infrastructure planning, design, and construction. Policymakers at the federal, state, and local levels are expressing greater interest in promoting and funding sustainable transportation infrastructure systems to reduce the damaging effects of pollutive emissions. Consequently, there is a growing trend of local agencies transitioning away from the traditional level-of-service measures to vehicle miles of travel (VMT) measures. However, planners are finding it difficult to leverage their investments in their regional travel demand network models and datasets in the transition. This paper evaluates the applicability of VMT forecasting and impact assessment using the current travel demand model for Dane County, Wisconsin. The main finding is that exploratory spatial data analysis of the derived data uncovered statistically significant spatial relationships and interactions that planners cannot sufficiently visualize using other methods. Planners can apply these techniques to identify places where focused VMT remediation measures for sustainable networks and environments can be most cost-effective.
Highlights
Transportation planning has historically relied on statistical models to analyze travel patterns across space and time
County daily vehicle miles of travel (VMT) will increase by 1,546,276 miles by 2050 (10.74%), which is equivalent of approximately 0.35 percent
The results show zones into eight groups based on the VMT/households plus employment (HHEMP) density for 2050
Summary
Transportation planning has historically relied on statistical models to analyze travel patterns across space and time. The main finding is that exploratory spatial data analysis of the derived data uncovered statistically significant spatial relationships and interactions that planners cannot sufficiently visualize using other methods Planners can apply these techniques to identify places where focused VMT remediation measures for sustainable networks and environments can be most cost-effective. Trucks in the European Union account for only 5% of vehicles, but they are responsible for 22% of the road transport carbon dioxide emissions, which analysts expect will grow [1] Large freight users, such as distribution centers and intermodal transfer stations located outside metropolitan core areas, contribute to increasing VMT levels. Other initiatives included financial approaches, logistical management, and land use management [5] Agencies such as the Wisconsin Department of Transportation (WisDOT) and many others issue guidelines for assessing land development impacts on adjacent state and federal highways. To assess mobility and land use impacts, most state agencies have adopted methodologies from the Highway Capacity Manual (HCM) to guide their facility
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