Competitive strategy for the proposed Texas High Speed Rail Project : a system dynamics/ CLIOS process approach

The Texas High-Speed Rail (HSR) is an unprecedented US project proposed by a private company. This project has many uncertainties because it will be funded only by the private sectors and it is the first US HSR project using foreign technology. The HSRs are huge and complex systems involving political, economic and sociotechnical issues that are affected by and affect various stakeholders. Therefore, it is necessary to grasp the "whole picture" of the project to plan effective strategies to make it successful. The objective of this thesis is to identify how we can improve the system performance and propose recommendations to guide the project toward success. The CLIOS Process is applied to identify the current circumstances surrounding the project. Comparative study of HSR with other transportation modes and market analysis are conducted to identify competitive advantages of the HSR system and how to utilize these advantages to compete with other transportation modes. After these qualitative analyses, pricing strategy, capacity management and accessibility management are identified as the three "key factors for success." Based on the results, the System Dynamics (SD) approach is applied. Conceptualization of the HSR system by causal loop diagrams (CLDs) clarifies several feedback interactions between key variables, such as ridership, load factor, total travel time and fares. Then, the numerical SD model is created to conduct quantitative analysis over time. Sensitivity analysis for each policy parameter suggests how the HSR operator could improve system performance by implementing different strategies in the short to long run.

Department dc:contributor.department

Massachusetts Institute of Technology. Engineering Systems Division

Grantor dc:publisher

Massachusetts Institute of Technology

Year dc:date.issued

2017

Author dc:creator

• Hidema, Takafumi

Advisor dc:contributor.advisor

• Joseph M. Sussman.

• Institute for Data, Systems, and Society.
• Engineering Systems Division.
• Technology and Policy Program.

Statement dc:rights

• MIT theses are protected by copyright. They may be viewed, downloaded, or printed from this source but further reproduction or distribution in any format is prohibited without written permission.

Licence dc:rights.uri

• http://dspace.mit.edu/handle/1721.1/7582

Language dc:language.iso

eng

Handle dc:identifier.uri

http://hdl.handle.net/1721.1/111246

OAI identifier oai:identifier

oai:dspace.mit.edu:1721.1/111246