|NuRail Project ID||NURail2017-MIT-R05|
|Project Title||Competitive Strategy for the Proposed Texas High Speed Rail Project: A System Dynamics/ CLIOS Process Approach|
|University||Massachusetts Institute of Technology|
|Principal Investigator||Taka Hidema|
|PI Contact Information|
|Funding Source(s) and Amounts Provided (by each agency or organization)|
|Total Project Cost||$|
|Agency ID or Contract Number||DTRT13-G-UTC52 (Grant 2)|
|Brief Description of Research Project||This project focuses on the proposed development of a HSR link between Houston and Dallas, both in Texas.|
This case will add to an already rich set of HSR cases the MIT Team has developed, including CA, IL, Kuala Lumpur linked to Singapore, the NEC and others. What makes this one different from the others is the intention is to development this system with only private sector resources as a for profit venture. Of course, cooperation with the public sector on matters such as land taking and public transportation access to the terminals in Dallas and Houston will be needed. Nonetheless, no public money is to be used to develop the HSR system itself.
The research will use System Dynamics and the CLIOS Process to seek insight into the viability of this concept.
Taka Hidema will serve as a RA working under the supervision of Prof. Sussman
|Describe Implementation of Research Outcomes (or why not implemented)||The research results are implemented in the form of an MIT thesis by Hidema and appears on our website (see below). A professional paper is anticipated.|
|Impacts/Benefits of Implementation (actual, not anticipated)||This research provides insight into the HSR market-building process in a new market for HSR in which the existing competitors - highway and air - are well established. The Bass Diffusion model adopted from other applications outside the transportation field proves very useful in the Texas HSR application and gives us confidence that it could be applied in other transportation situations.|
The synergy between system dynamics and the CLIOS Process (developed by the MIT HSR group) is well established in this research and can be useful in other research applications.
|Web Links||http://web.mit.edu/hsr-group; |
|Final Report||NURail2017-MIT-R05_Final_Report_Hidema.pdf |