Browsing by Author "University of Minnesota Nexus Research Group"
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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 SIGNAL : System of Integrated Growth of Networks and Land Use(2016-07-13) Xie, Feng; Zhu, Shanjiang; Levinson, David M; dlevinson@umn.edu; Levinson, David M; University of Minnesota Nexus Research GroupThis software models the co-evolution of land use and transportation network as a bottom-up process by which re-location of activities and expansion of roads are driven by interdependent decisions of individual businesses, workers, and road owners according to simple decision rules. A Simulator of Integrated Growth of Networks And Land-use (SIGNAL) is developed to implement these decentralized decision making processes, in which the Gini index and equivalent radius were computed to describe and track down the spatial patterns of space and network.Item SONG 2 - Simulator of Network Growth version 2(2016-07-13) Xie, Feng; Levinson, David M; dlevinson@umn.edu; Levinson, David M; University of Minnesota Nexus Research GroupSoftware used in the project Beyond Business as Usual (MnDOT MN/RC-2006-36) This research, extending the Mn/DOT-funded project If They Come, Will You Build It, assesses the implications of existing trends on future network construction. It compares forecast networks (using models estimated on historical decisions developed with previous research) under alternative budget scenarios (trend, above trend, below trend), with networks constructed according to alternative sets of decision rules developed with Mn/DOT and Metropolitan Council staff. The comparison evaluates alternative futures using a set of performance measures to determine whether the network we would get in the absence of a change in policies (allowing historical policies to go forward) outperforms or underperforms the networks developed by applying suggested decision rules. This evaluation methodology enables new decision rules for network construction (building new links or widening existing links) to be tested. The research suggests a path beyond “business as usual”. This research incorporates results from the different scenarios tested. It presents the processes, approaches and development to encode historical decision rules. After analyzing flowcharts developed from the interviews of staff at different levels of government, if-then rules are generated for each jurisdiction. This research then describes the details and processes necessary to run the network forecasting models with various decision rules. Results for different scenarios are presented including adding additional constraints for the transportation network expansion and calibration process details. A comparison and analysis between scenarios is made in order to provide a final conclusion on what scenario will produce the greatest benefit for the Twin Cities Metropolitan Area Transportation Network.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.