Optimizing high-speed rail routes using a Spatial Decision Support System (SDSS): the Texas Urban Triangle (TUT) case
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Kim, Hwan Yong | - |
dc.contributor.author | Wunneburger, Douglas | - |
dc.contributor.author | Neuman, Michael | - |
dc.contributor.author | An, Sang Young | - |
dc.date.accessioned | 2021-11-08T04:35:58Z | - |
dc.date.available | 2021-11-08T04:35:58Z | - |
dc.date.issued | 2014-01 | - |
dc.identifier.issn | 0966-6923 | - |
dc.identifier.uri | https://scholarworks.bwise.kr/erica/handle/2021.sw.erica/106248 | - |
dc.description.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. | - |
dc.format.extent | 8 | - |
dc.language | 영어 | - |
dc.language.iso | ENG | - |
dc.publisher | Pergamon Press Ltd. | - |
dc.title | Optimizing high-speed rail routes using a Spatial Decision Support System (SDSS): the Texas Urban Triangle (TUT) case | - |
dc.type | Article | - |
dc.publisher.location | 영국 | - |
dc.identifier.doi | 10.1016/j.jtrangeo.2013.11.014 | - |
dc.identifier.scopusid | 2-s2.0-84891803388 | - |
dc.identifier.wosid | 000332498400020 | - |
dc.identifier.bibliographicCitation | Journal of Transport Geography, v.34, pp 194 - 201 | - |
dc.citation.title | Journal of Transport Geography | - |
dc.citation.volume | 34 | - |
dc.citation.startPage | 194 | - |
dc.citation.endPage | 201 | - |
dc.description.isOpenAccess | N | - |
dc.description.journalRegisteredClass | ssci | - |
dc.description.journalRegisteredClass | scopus | - |
dc.relation.journalResearchArea | Business & Economics | - |
dc.relation.journalResearchArea | Geography | - |
dc.relation.journalResearchArea | Transportation | - |
dc.relation.journalWebOfScienceCategory | EconomicsGeography | - |
dc.relation.journalWebOfScienceCategory | Transportation | - |
dc.subject.keywordAuthor | Geographic information systems | - |
dc.subject.keywordAuthor | High speed rail | - |
dc.subject.keywordAuthor | Route optimization | - |
dc.subject.keywordAuthor | Spatial decision support system | - |
dc.subject.keywordAuthor | Texas Urban Triangle | - |
dc.identifier.url | https://www.sciencedirect.com/science/article/pii/S0966692313002457 | - |
Items in ScholarWorks are protected by copyright, with all rights reserved, unless otherwise indicated.
55 Hanyangdeahak-ro, Sangnok-gu, Ansan, Gyeonggi-do, 15588, Korea+82-31-400-4269 sweetbrain@hanyang.ac.kr
COPYRIGHT © 2021 HANYANG UNIVERSITY. ALL RIGHTS RESERVED.
Certain data included herein are derived from the © Web of Science of Clarivate Analytics. All rights reserved.
You may not copy or re-distribute this material in whole or in part without the prior written consent of Clarivate Analytics.