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dc.contributor.advisorJoseph M. Sussman.en_US
dc.contributor.authorDunn, Travis Pen_US
dc.contributor.otherMassachusetts Institute of Technology. Dept. of Civil and Environmental Engineering.en_US
dc.date.accessioned2011-01-26T14:24:38Z
dc.date.available2011-01-26T14:24:38Z
dc.date.copyright2010en_US
dc.date.issued2010en_US
dc.identifier.urihttp://hdl.handle.net/1721.1/60789
dc.descriptionThesis (Ph. D.)--Massachusetts Institute of Technology, Dept. of Civil and Environmental Engineering, 2010.en_US
dc.descriptionCataloged from PDF version of thesis.en_US
dc.descriptionIncludes bibliographical references.en_US
dc.description.abstractThis thesis introduces the notion of a strategy development framework for transportation infrastructure systems. A strategy development framework has several dimensions: the organizations that own.infrastructure, the ownership structure employed, the type and quantity of revenues generated, the revenue allocation methods for re-investing in the infrastructure, the degree of integration across transportation modes and other sectors, and the geographic scales controlled. We analyze the behavior of a range of alternative frameworks through a combined quantitative-qualitative approach, using Portugal's highway transportation system as the context. Drawing on strategy literature from the management field, we begin by defining and characterizing a range of alternative strategy development frameworks for transportation infrastructure systems. Next, we analyze these frameworks quantitatively using an agent-based model which simulates the evolution of Portugal's intercity highway network over time and space. By varying the frameworks' dimensions (e.g., type of revenue, revenue allocation method, geographic scale of control), we observe differences in the resulting investment decisions for the network. We evaluate the performance of these investment decisions according to a range of metrics in order to determine which frameworks lead to desirable outcomes. The simulation, however, cannot fully capture the relationship between a framework and investment outcomes for the highway system, so we complement the model with a qualitative analysis which combines empirical cases and predicted stakeholder dynamics. The integrated quantitative-qualitative evaluation allows us to explain a wider range of trade-offs associated with each alternative framework. The contributions of this research are threefold: (1) we offer the notion of strategy development, which allows for recognition and inclusion of emergent outcomes, as an alternative to the narrower concept of transportation planning; (2) we determine the influence of advanced transportation technologies (typically studied for their operational benefits) on strategy development; and (3) we explore the consequences of fundamental changes to the strategy development framework, notably along the dimension of geographic scale. While our theory and methods are applied to the case of Portugal's highway system-and we strive to produce results of value to that nation-we believe they can be profitably applied in other transportation contexts as well.en_US
dc.description.statementofresponsibilityby Travis P. Dunn.en_US
dc.format.extent263 p.en_US
dc.language.isoengen_US
dc.publisherMassachusetts Institute of Technologyen_US
dc.rightsM.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.en_US
dc.rights.urihttp://dspace.mit.edu/handle/1721.1/7582en_US
dc.subjectCivil and Environmental Engineering.en_US
dc.titleThe geography of strategy : an exploration of alternative frameworks for transportation infrastructure strategy developmenten_US
dc.title.alternativeExploration of alternative frameworks for transportation infrastructure strategy developmenten_US
dc.typeThesisen_US
dc.description.degreePh.D.en_US
dc.contributor.departmentMassachusetts Institute of Technology. Department of Civil and Environmental Engineering
dc.identifier.oclc695404460en_US


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