Date of Degree
Graduate Thesis - Open Access
Master of Science
In the current literature and practice, no systematic and user-oriented performance measures are available to evaluate intermodal transportation and facilitate mode-choice decision-making. Most existing transportation measures are defined for one specific mode and are not consistent with each other. This research establishes a systematic and user-oriented performance measurement system for intermodal transportation. Five major categories of performance measures are identified: mobility and reliability, safety, environmental impact, long term transportation cost efficiency, and economic impact. For each category, several quantitative measures are given to capture the features of the system and evaluate how well transportation systems can meet the needs of their users, who are investors (including government agents and stakeholders), individuals, industries, and the society (or the public). The proposed measures are scalable so that they can be used to compare systems with different sizes. Since none of them is mode specific, no matter how many modes and what kinds of modes are involved, a transportation system can be evaluated by the measure set. This research tries to avoid any overlap or omission among the measures and distinguish performance measures from factors. A transportation system can be improved through changing some factors, like capacity, but project priority should be decided based on measures rather than factors. The proposed measures are also verified by a survey conducted by this research and some industrial practices. In the thesis, a case study on the State of Mississippi is conducted based on the identified performance measures. The measures with the case study can help to promote transportation intermodalism in the U.S. and quantitatively demonstrate the benefits of intermodal transportation. The proposed measures differ in many aspects from traditional measures. The proposed set of performance measurement system can have a significant impact on development of U.S. transportation system.
Wang, Haiyuan, "A Study of System Performance Measures for Intermodal Transportation" (2004). Theses and Dissertations MSU. 289.