336
Views
1
CrossRef citations to date
0
Altmetric
Research Article

Planning for a sustainable regional mobility: Hypertube Express (HTX) for Korean case

&
Pages 497-515 | Received 21 Dec 2020, Accepted 09 Jun 2021, Published online: 26 Jun 2021
 

ABSTRACT

After 14 years since its first implementation of high-speed rail, the Korean government decided to develop its own model for the Hyperloop in 2017. This study is part of the effort and designed to examine the overall HSR network of South Korea. Out of 38 variables, 5 were selected to conduct a modelling process for an Hypertube Express (HTX). Two HTX networks were drawn and compared based on anticipated construction costs, suitability scores, and detailed information. The ‘X’ network is intended to provide the maximum accessibility to regional population centres but the speed would be slower due to its short distance between stations. On the other hands, the ‘O’ network gives less accessibility to a major city but designed to enjoy the maximum speed of an HTX as the route is the longest. The ‘X’ network will cost about $1,451 million less than the ‘O’ network for its initial construction.

Data Availability Statement

The data that support the findings of this study are available from the corresponding author, [Hwanyong Kim], upon reasonable request.

Disclosure statement

No potential conflict of interest was reported by the author(s).

Additional information

Funding

This study was funded by the Korea Railroad Research Institute (grant number: 2018-PY-127).

Log in via your institution

Log in to Taylor & Francis Online

PDF download + Online access

  • 48 hours access to article PDF & online version
  • Article PDF can be downloaded
  • Article PDF can be printed
USD 61.00 Add to cart

Issue Purchase

  • 30 days online access to complete issue
  • Article PDFs can be downloaded
  • Article PDFs can be printed
USD 306.00 Add to cart

* Local tax will be added as applicable

Related Research

People also read lists articles that other readers of this article have read.

Recommended articles lists articles that we recommend and is powered by our AI driven recommendation engine.

Cited by lists all citing articles based on Crossref citations.
Articles with the Crossref icon will open in a new tab.