Merging qualitative and quantitative criteria for freight investment using scenario planning

Freight transportation is vital to the economy of the United States. The total volume of freight moving inside the nation is expected to continue growing, while the U.S. transportation system is aging and becoming more costly to maintain. The revenue streams that allow for its preservation and expansion are decreasing rapidly. Because resources are scarce and long-range consequences difficult to anticipate, great care must be placed in freight transportation investment decisions, a complex process usually involving many stakeholders with diverse interests, modal and jurisdictional silos, diverse and vocal constituents, and a set of final system users that are typically removed from the decision-making process. This thesis explores how freight investment decisions can be helped by the use of scenario planning, a collaborative approach that enhances consensus-building and helps organizations to shift from prediction to preparation for the future, converting uncertainty into a competitive advantage. First, a review of the relevant literature is conducted in order to present a comprehensive description of scenario planning and the transportation planning process. Afterwards, case studies are presented to picture the observed practices in transportation infrastructure planning at different stages of a project lifecycle, followed by a characterization of past and current uses of scenario planning in transportation investment decisions. At that point, a methodology to evaluate alternative investments, strategies or policies under different scenarios is introduced, providing a hypothetical example of use. Finally, a list of recommendations are identified and explained.

Department dc:contributor.department

Massachusetts Institute of Technology. Engineering Systems Division.

Grantor dc:publisher

Massachusetts Institute of Technology

Year dc:date.issued

2011

Author dc:creator

• Sánchez-Valero, Miguel Ángel

Advisor dc:contributor.advisor

• Chris Caplice and Mikel Murga.

• Engineering Systems Division.
• Civil and Environmental Engineering.

Statement dc:rights

• M.I.T. theses are protected by copyright. They may be viewed from this source for any purpose, but reproduction or distribution in any format is prohibited without written permission. See provided URL for inquiries about 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/1721.1/68902

OAI identifier oai:identifier

oai:dspace.mit.edu:1721.1/68902