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Optimizing high-speed rail routes using a Spatial Decision Support System (SDSS): the Texas Urban Triangle (TUT) case

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  • Kim, Hwan Yong
  • Wunneburger, Douglas
  • Neuman, Michael
  • An, Sang Young

Abstract

Previously, an analytical method was derived to model a possible high-speed rail route within the Texas Urban Triangle (TUT) area. By implementing a raster-based geographic information system (GIS), researchers were able to optimize a route with the given variables. Based on prior research outcomes, the authors improved the overall analytical approach. This article expands the study boundary from Travis County through Bexar County to test the corridor between the San Antonio and Austin metropolitan areas. Nearby counties are also included, resulting in a total of six counties. In addition, a statistical tool, explanatory factor analysis (EFA), is added to fill the gap identified in the previous modeling practices. The project addresses transportation corridor planning in the Texas Urban Triangle at the regional scale. Its aim is to determine the most suitable locations for new transport infrastructure by employing a Spatial Decision Support System (SDSS). The proposed SDSS provides a composite foundation for decision making to attain enhanced regional mobility, especially for a high-speed rail (HSR). Route alternatives are compared in terms of construction estimates, anticipated land acquisition fees, and suitability scores.

Suggested Citation

  • Kim, Hwan Yong & Wunneburger, Douglas & Neuman, Michael & An, Sang Young, 2014. "Optimizing high-speed rail routes using a Spatial Decision Support System (SDSS): the Texas Urban Triangle (TUT) case," Journal of Transport Geography, Elsevier, vol. 34(C), pages 194-201.
  • Handle: RePEc:eee:jotrge:v:34:y:2014:i:c:p:194-201
    DOI: 10.1016/j.jtrangeo.2013.11.014
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    References listed on IDEAS

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    1. Cao, Jing & Liu, Xiaoyue Cathy & Wang, Yinhai & Li, Qingquan, 2013. "Accessibility impacts of China’s high-speed rail network," Journal of Transport Geography, Elsevier, vol. 28(C), pages 12-21.
    2. Michael Freudenberg, 2003. "Composite Indicators of Country Performance: A Critical Assessment," OECD Science, Technology and Industry Working Papers 2003/16, OECD Publishing.
    3. Johnson, Brian Edward, 2012. "American intercity passenger rail must be truly high-speed and transit-oriented," Journal of Transport Geography, Elsevier, vol. 22(C), pages 295-296.
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    1. Michael Neuman, 2020. "Infrastructure Is Key to Make Cities Sustainable," Sustainability, MDPI, vol. 12(20), pages 1-17, October.

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