IDEAS home Printed from https://ideas.repec.org/a/eee/jotrge/v34y2014icp194-201.html
   My bibliography  Save this article

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

Author

Listed:
  • 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
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0966692313002457
    Download Restriction: no
    File URL: https://libkey.io/10.1016/j.jtrangeo.2013.11.014?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    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.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Michael Neuman, 2020. "Infrastructure Is Key to Make Cities Sustainable," Sustainability, MDPI, vol. 12(20), pages 1-17, October.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Wang, Yongpei & Guan, Zhongyu & Zhang, Qian, 2023. "Railway opening and carbon emissions in distressed areas: Evidence from China's state-level poverty-stricken counties," Transport Policy, Elsevier, vol. 130(C), pages 55-67.
    2. Cherchye, Laurens & Knox Lovell, C.A. & Moesen, Wim & Van Puyenbroeck, Tom, 2007. "One market, one number? A composite indicator assessment of EU internal market dynamics," European Economic Review, Elsevier, vol. 51(3), pages 749-779, April.
    3. Fan, Xiaomin & Xu, Yingzhi, 2023. "Does high-speed railway promote urban innovation? Evidence from China," Socio-Economic Planning Sciences, Elsevier, vol. 86(C).
    4. Dziallas, Marisa & Blind, Knut, 2019. "Innovation indicators throughout the innovation process: An extensive literature analysis," Technovation, Elsevier, vol. 80, pages 3-29.
    5. Marta de la Cuesta-González & Cristina Ruza & José M. Rodríguez-Fernández, 2020. "Rethinking the Income Inequality and Financial Development Nexus. A Study of Nine OECD Countries," Sustainability, MDPI, vol. 12(13), pages 1-18, July.
    6. Marti-Henneberg, Jordi, 2015. "Attracting travellers to the high-speed train: a methodology for comparing potential demand between stations," Journal of Transport Geography, Elsevier, vol. 42(C), pages 145-156.
    7. Jiao, Jingjuan & Wang, Jiaoe & Jin, Fengjun & Dunford, Michael, 2014. "Impacts on accessibility of China’s present and future HSR network," Journal of Transport Geography, Elsevier, vol. 40(C), pages 123-132.
    8. Carayannis, Elias G. & Goletsis, Yorgos & Grigoroudis, Evangelos, 2018. "Composite innovation metrics: MCDA and the Quadruple Innovation Helix framework," Technological Forecasting and Social Change, Elsevier, vol. 131(C), pages 4-17.
    9. Arvanitidis, Paschalis & Petrakos, George, 2007. "Characteristics of Dynamic Regions in the World Economy: Defining Knowledge-Driven Economic Dynamism," Papers DYNREG19, Economic and Social Research Institute (ESRI).
    10. Francesco Sica & Francesco Tajani & Maria Rosaria Guarini & Rossana Ranieri, 2023. "A Sensitivity Index to Perform the Territorial Sustainability in Uncertain Decision-Making Conditions," Land, MDPI, vol. 12(2), pages 1-21, February.
    11. Pollesch, N.L. & Dale, V.H., 2016. "Normalization in sustainability assessment: Methods and implications," Ecological Economics, Elsevier, vol. 130(C), pages 195-208.
    12. Truyens, Jasper & De Bosscher, Veerle & Sotiriadou, Popi & Heyndels, Bruno & Westerbeek, Hans, 2016. "A method to evaluate countries’ organisational capacity: A four country comparison in athletics," Sport Management Review, Elsevier, vol. 19(3), pages 279-292.
    13. Jana Sereghyová, 2004. "Konkurenceschopnost Evropské unie v podmínkách globalizace," Acta Oeconomica Pragensia, Prague University of Economics and Business, vol. 2004(3), pages 143-168.
    14. Laurens CHERCHYE & Willem MOESEN & Nicky ROGGE & Tom VAN PUYENBROECK, 2009. "Constructing a knowledge economy composite indicator with imprecise data," Working Papers of Department of Economics, Leuven ces09.15, KU Leuven, Faculty of Economics and Business (FEB), Department of Economics, Leuven.
    15. Chen, Xiaoyan & Liu, Yisheng, 2020. "Visualization analysis of high-speed railway research based on CiteSpace," Transport Policy, Elsevier, vol. 85(C), pages 1-17.
    16. Sedigheh Meimandi Parizi & Mohammad Taleai & Ayyoob Sharifi, 2022. "A GIS-Based Multi-Criteria Analysis Framework to Evaluate Urban Physical Resilience against Earthquakes," Sustainability, MDPI, vol. 14(9), pages 1-31, April.
    17. (Ato) Xu, Wangtu & Zhou, Jiangping & Yang, Linchuan & Li, Ling, 2018. "The implications of high-speed rail for Chinese cities: Connectivity and accessibility," Transportation Research Part A: Policy and Practice, Elsevier, vol. 116(C), pages 308-326.
    18. Osama A. B. Hassan, 2008. "Assessing The Sustainability Of A Region In The Light Of Composite Indicators," Journal of Environmental Assessment Policy and Management (JEAPM), World Scientific Publishing Co. Pte. Ltd., vol. 10(01), pages 51-65.
    19. Wang, H., 2015. "A generalized MCDA–DEA (multi-criterion decision analysis–data envelopment analysis) approach to construct slacks-based composite indicator," Energy, Elsevier, vol. 80(C), pages 114-122.
    20. Kai Wang & Zhe Wang & Jun Deng & Yuanyuan Feng & Quanfang Li, 2022. "Study on the Evaluation of Emergency Management Capacity of Resilient Communities by the AHP-TOPSIS Method," IJERPH, MDPI, vol. 19(23), pages 1-14, December.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:jotrge:v:34:y:2014:i:c:p:194-201. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: https://www.journals.elsevier.com/journal-of-transport-geography .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.