This research applies stochastic decision tree analytical techniques to a decision of the type a small community may face when choosing a solid waste disposal system from among several alternatives. Specifically targeted are those situations in which a community finds itself (1) lying at or near the boundary of a central planning area, (2) in a position to exercise one of several disposal options, and (3) has access to the data base on solid waste which has been systematically developed by a central planning agency. The options available may or may not be optimal in terms of total cost, either to the community or to adjacent communities which participate in centrally coordinated or jointly organized activities. The study suggests that stochastic simulation models, drawing upon a data base developed by central planning agencies in cases where local data are inadequate or not available, can be useful in evaluating disposal alternatives at the community level. Further, the decision tree can be usefully employed to communicate results of the analysis. Some important areas of further research on the small community disposal system selection problem are noted.
| Identifer | oai:union.ndltd.org:unt.edu/info:ark/67531/metadc500537 |
| Date | 08 1900 |
| Creators | Wright, William Ervin |
| Contributors | Williams, Fredrik P., Cochran, Kendall P., Christy, George A. |
| Publisher | North Texas State University |
| Source Sets | University of North Texas |
| Language | English |
| Detected Language | English |
| Type | Thesis or Dissertation |
| Format | vii, 141 leaves : ill., Text |
| Rights | Public, Wright, William Ervin, Copyright, Copyright is held by the author, unless otherwise noted. All rights reserved. |
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