Dr. David M. Levinson
Persistent link for this collectionhttps://hdl.handle.net/11299/179806
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Browsing Dr. David M. Levinson by Type "Dataset"
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Item 1920-1995 Twin Cities State Highway Network(2014-03-21) Chen, Wei; Levinson, David M; dlevinson@umn.edu; Levinson, David M.Illustrates the development of the highway network in the Twin Cities metropolitan region. GIS maps of the state highway network were created for 1920-1995 (these were not previously digitized). These were used to build Markov Chain Cellular Automata models of land use change and network growth.Item 1958 Twin Cities Land Use Map from the Twin Cities Metropolitan Planning Commission, GIS Data Files(2013-11-22) Chen, Wei; Levinson, David M; dlevinson@umn.edu; Levinson, David M.High-quality GIS land use maps for the Twin Cities Metropolitan Area for 1958 that were developed from paper maps (no GIS version existed previously).Item 1968 Twin Cities Land Use Map from the Twin Cities Metropolitan Planning Commission, GIS Data Files(2014-03-03) Levinson, David M; Chen, Wei; dlevinson@umn.edu; Levinson, David M.High-quality GIS land use maps for the Twin Cities Metropolitan Area for 1968 that were developed from paper maps (no GIS version existed previously).Item 1978 Twin Cities Land Use Map from the Twin Cities Metropolitan Planning Commission, GIS Data Files(2014-03-03) Levinson, David M; Chen, Wei; dlevinson@umn.edu; Levinson, David M.High-quality GIS land use maps for the Twin Cities Metropolitan Area for 1978 that were developed from paper maps (no GIS version existed previously).Item Access Across America: Transit 2014 Data(2014-12-05) Owen, Andrew; Levinson, David M; aowen@umn.edu; Owen, Andrew; University of Minnesota Center for Transportation Studies, Accessibility ObservatoryThis data was created as part of a study that examined the accessibility to jobs by transit in 46 of the 50 largest (by population) metropolitan areas in the United States. It is the most detailed evaluation to date of access to jobs by transit, and it allows for a direct comparison of the transit accessibility performance of America's largest metropolitan areas.Item Access Across America: Transit 2015 Data(2017-02-02) Owen, Andrew; Levinson, David M; Murphy, Brendan; aowen@umn.edu; Owen, AndrewThese data were created as part of a study that examined the accessibility to jobs by transit in 49 of the 50 largest (by population) metropolitan areas in the United States. It is the most detailed evaluation to date of access to jobs by transit, and it allows for a direct comparison of the transit accessibility performance of America's largest metropolitan areas. These data are part of a longitudinal study; Access Across America: Transit 2014 data are available at http://hdl.handle.net/11299/168064.Item Access Across America: Transit 2016 Data(2018-03-28) Owen, Andrew; Murphy, Brendan; aowen@umn.edu; Owen, Andrew; University of Minnesota Center for Transportation Studies, Accessibility ObservatoryThese data were created as part of a study that examined the accessibility to jobs by transit in 49 of the 50 largest (by population) metropolitan areas in the United States. It is the most detailed evaluation to date of access to jobs by transit, and it allows for a direct comparison of the transit accessibility performance of America's largest metropolitan areas. These data are part of a longitudinal study; Access Across America: Transit 2015 data are available at https://conservancy.umn.edu/handle/11299/183801. Access Across America: Transit 2014 data are available at http://hdl.handle.net/11299/168064.Item Access Across America: Walk 2014 Data(2015-08-21) Owen, Andrew; Murphy, Brendan; Levinson, David M; aowen@umn.edu; Owen, Andrew; University of Minnesota Center for Transportation Studies, Accessibility ObservatoryThese data were created as part of a study that examined the accessibility to jobs by walking in the 53 largest (by population) metropolitan areas in the United States. It is the most detailed evaluation to date of access to jobs by walking, and it allows for a direct comparison of the walking accessibility performance of America's largest metropolitan areas.Item Network and Land Use Data for "Indiana Interurban Networks"(2016-07-13) Xie, Feng; Levinson, David M; dlevinson@umn.edu; Levinson, David M; University of Minnesota Nexus Research GroupThis dataset contains the network and land use data for our Indiana Interurban study published as Chapter five "Indiana Interurban Networks" in the book titled "Evolving Transportation Networks" (published by Springer in 2011). The first tab contains a list of stations included in our model and their x/y coordinates. The second has a list of links with their start and end nodes (Station IDs), their open/close years, and Operator ID. The third documents a list of Operators and their IDs. The fourth has a list of counties in Indiana, the x/y coordinates of their centroids, and historical population data from 1897 to 1941. Historical data are only available by decade at the county level, and we calculated years in between by interpolation. the last tab has a list of tracts, the x/y of their centroids, and historical population data from 1897 to 1941 (tract population is approximated assuming population in a county is evenly distributed within county boundary).Item SONIC - System of Network Incremental Connections(2016-07-13) Xie, Feng; Levinson, David M; dlevinson@umn.edu; Levinson, David M; University of Minnesota Nexus Research GroupThe software contains a network-growth simulation model. The logic is based on the strongest-link assumption (ie for a link to be constructed, it must be ranked the highest in terms of increasing accessibility between the two blocks it connects).Item SOUND – System for Ultraconnected Network Degeneration (with code to analyze network geometrics)(2016-07-13) Xie, Feng; Levinson, David M; dlevinson@umn.edu; Levinson, David M; University of Minnesota Nexus Research GroupThis software models the economic mechanisms behind the decline of a surface transportation network, based on the assumption that the decline phase is a spontaneous process driven by decentralized decisions of individual travelers and privatized links. The software models a degeneration process by which the weakest link is removed iteratively from the network.Item Test Networks from "Measuring the Structure of Road Networks"(2016-07-13) Levinson, David M; Xie, Feng; dlevinson@umn.edu; Levinson, David MFig. 5 displays four base networks , 15 x 15 90° network (A0), 15 x 15 45° network (B0), and 15 x 15 30° network (C0), and 4 x 4 complete network (D0), as well as 12 network structures derived from them (three for each). As can be seen, links have been specified as five different hierarchies [1-5]. The boldness and grayness of a link indicates its hierarchy level and a bolder and darker link represents a road of a higher hierarchy. This study examines these 16 networks with proposed structural measures. (p 348 of Xie and Levinson (2007) Measuring the Structure of Road Networks)