Browsing by Subject "Urban transit"
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Item Access in Appalachia Pilot Implementation Project(Center for Transportation Studies, University of Minnesota, 2024-05) Jain, Saumya; Lind, Eric; Owen, Andrew; Liu, Shirley ShiqinThe Access in Appalachia Pilot Implementation Project report is an exploration of transportation accessibility within the Appalachian Region. Here, Accessibility means the ease with which people can travel to valued destinations. Commissioned by the Appalachian Regional Commission (ARC) and led by the Maryland Department of Transportation State Highway Administration, this project represents a significant leap forward in the understanding of the intersections between economic development, land use, and transportation infrastructure. Through innovative methodologies this project measures, analyzes, and visualizes the access of Appalachian residents to critical opportunities, including jobs, education, healthcare, entertainment, and intermodal freight facilities. The analyses reveal critical insights into transportation dynamics, land use practices, and accessibility nuances, often marked by the urban vs rural landscape within the Appalachian region, offering pathways for strategic development. The report highlights need for tailored transportation strategies, informed decision-making, and equitable planning to address the diverse needs of Appalachia's varied landscapes to foster socio-economic growth.Item Commercial Gentrification Along Twin Cities Transitway Corridors(Center for Transportation Studies, University of Minnesota, 2022-05) Wexler, Noah; Fan, YinglingThis report examines how the construction and operation of Light Rail and Bus Rapid Transit corridors in the Twin Cities metropolitan area affected commercial gentrification. Using data on establishments providing retail, food, or personal services, we use several econometric approaches to examine how both the construction and operation of new transit affected sales, employment, and concentration of nearby establishments. We estimate separate models for small single-location firms and establishments affiliated with larger multiple-location firms. Overall, we find that robust evidence that the Green Line reduced sales for single-location firms. We also find some evidence that the A Line BRT slightly reduced sales and employment for the same types of firms. By contrast, the Blue Line did not have significant effects on nearby stores. We use the Green Line as a case study to examine the mechanisms of transit-induced commercial gentrification, finding that gentrification effects are correlated with positive residential construction effects. These findings suggest that transit-induced gentrification is dependent on transit's affects on surrounding physical infrastructure, pointing to actionable policy remedies that can protect small firms during periods when nearby construction may disrupt business.Item Impacts of Highway and Transitway Construction on Nearby Businesses(Center for Transportation Studies, University of Minnesota, 2023-12) Center for Transportation StudiesThis research brief pertains to report CTS 22-02, Commercial Gentrification Along Twin Cities Transitway Corridors, and report MnDOT 2023-30, The Effects of Highway Improvement Projects on Nearby Business Activity.Item Theoretical substantiation of trip length distribution for home-based work trips in urban transit systems(Journal of Transport and Land Use, 2018) Horbachov, Peter; Svichynskyi, StanislavModern approaches to the modeling of transport demand imply the use of calibration procedures during the origin-destination (O-D) matrix estimation or transit assignment. These procedures lead to misrepresenting generated and attracted trips or changing the trip length distribution (TLD). It means that the methods of transport planning can be improved by means of determination, validation and implementation of the TLD to calculate the O-D matrix. The analysis of research results in the field of mass transit reveals an explicit similarity between TLD in different cities and the gamma distribution. It points to general regularities in various systems of mass transit that lead to the similarity in TLD. The regularities are determined by studying the spatial distribution of mass transit stops, which are considered trip origins and destinations. The experimental research was conducted in 10 Ukrainian cities using probability theory methods.