Browsing by Subject "Roads--Texas--Austin"
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Item Modeling of land use land cover change : a case in Austin, Texas(2007-08) Huang, Tian, 1978-; Machemehl, Randy B.Land use land cover changes are the result of various interactions among social, economic, and environmental systems. The modeling of these changes will provide valuable information on land development mechanisms to help decision making process. This study analyzes the relationship between land use/land cover change and highway development in the Austin, TX area. First, historical data on highway constructions in the Austin area are collected and visualized in GIS. Next, land use/land cover maps are derived from classifying LandSat images. A binary logit model is then formulated, quantifying the impacts of transportation accessibility and neighborhoods on the likelihood of land use/land cover change. The analysis methods developed in this study can be extended to explore long term regional growth implications of such transportation initiatives as the Trans-Texas Corridor (TTC).Item Neighborhood and individual determinants of pedestrian collisions in Austin, TX(2007-12) Moore, Jasmin Ebony, 1981-; McMillan, Tracy E.Using a multi-method design, this study sought to examine the relationship between pedestrian collisions and population characteristics, land use, and roadway classifications in order to uncover risk factors associated with walking in Austin, TX. A combination of descriptive, linear regression, logistic regression, and spatial analysis methods were employed to gain a greater understanding of these relationships. The study population was comprised of all the pedestrian collisions in Austin, TX during the study period of 2002-2006. In general, the pedestrians involved in collisions during the study period experienced injuries at a lower rate than national pedestrian collisions figures. The elderly population of 65 and over was a strong predictor of pedestrian collisions resulting in serious injury or death. Land use emerged as one of the most important predictors of pedestrian collisions in the study area. Pedestrian collisions were positively associated with medium and high density residential, commercial, and industrial uses. Highways were also highly correlated with pedestrian fatalities and serious injuries, with 40 percent of collisions resulting in death occurred on a highway.