Document Type
Thesis
Degree
Master of Science (MS)
Major/Program
Civil Engineering
First Advisor's Name
N. O. Attoh-Okine
First Advisor's Committee Title
Committee Chair
Second Advisor's Name
Shonali Laha
Third Advisor's Name
L. David Shen
Date of Defense
7-25-1996
Abstract
The redevelopment of Brownfields has taken off in the 1990s, supported by federal and state incentives, and largely accomplished by local initiatives. Brownfields redevelopment has several associated benefits. These include the revitalization of inner-city neighborhoods, creation of jobs, stimulation of tax revenues, greater protection of public health and natural resources, the renewal and reuse existing civil infrastructure and Greenfields protection. While these benefits are numerous, the obstacles to Brownfields redevelopment are also very much alive. Redevelopment issues typically embrace a host of financial and legal liability concerns, technical and economic constraints, competing objectives, and uncertainties arising from inadequate site information. Because the resources for Brownfields redevelopment are usually limited, local programs will require creativity in addressing these existing obstacles in a manner that extends their limited resources for returning Brownfields to productive uses. Such programs may benefit from a structured and defensible decision framework to prioritize sites for redevelopment: one that incorporates the desired objectives, corresponding variables and uncertainties associated with Brownfields redevelopment. This thesis demonstrates the use of a decision analytic tool, Bayesian Influence Diagrams, and related decision analytic tools in developing quantitative decision models to evaluate and rank Brownfields sites on the basis of their redevelopment potential.
Identifier
FI14032305
Recommended Citation
Amekudzi, Adjo A., "Developing brownfields ranking models using decision analytic methods" (1996). FIU Electronic Theses and Dissertations. 1277.
https://digitalcommons.fiu.edu/etd/1277
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