Date of Award
8-2018
Degree Type
Report
Degree Name
Master of Science (MS)
Department
Environment and Society
Committee Chair(s)
Richard E. Toth
Committee
Richard E. Toth
Committee
Barty Warren-Kretzschmarr
Committee
David Evans
Abstract
This thesis analyzes the impact the FrontRunner commuter-rail service would have on Southeastern Box Elder County, Utah, using both anticipated future and alternative future scenarios created in a geographic information system (GIS). These alternative future scenarios include having the FrontRunner developed at anticipated stops and a transit-oriented development (TOD) scenario. Using techniques and methods developed by scholars in the bioregional planning field, these alternative future scenarios were compared against impact-data models addressing residential land-use suitability and landscape risk.
Outcomes: from this analysis, the TOD alternative future scenario had the least impact on landscape risk impact-data model. The TOD model is based on short trips between stops within the region, and takes advantage of a diesel car driven train, rather than the engine driven train that is the FrontRunner. Other alternative future models should be developed and tested, including a bus-rapid transit alternative, and scenarios taking into account connections to Cache Valley, Utah. A community survey for development preferences would be beneficial, along with an official rail corridor identified.
Application: working with regional partners, such as the Bear River Association of Governments, planners and local officials can use the approach of this thesis to alter or create new alternative futures as they plan for the future of the region.
Recommended Citation
Gottfredson, C. Michael, "Commuter Rail and the Landscape: Alternative Futures for Planning in Southeastern Box Elder County" (2018). All Graduate Plan B and other Reports, Spring 1920 to Spring 2023. 1308.
https://digitalcommons.usu.edu/gradreports/1308
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Comments
This Plan B thesis uses regional planning methodologies that incorporates geographic information systems and remote sensing as key components in regional analyses.