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A RECREATION OPTIMIZATION MODEL BASED ON THE TRAVEL COST METHOD AgEcon
Hof, John G.; Loomis, John B..
A recreation allocation model is developed which efficiently selects recreation areas and degree of development from an array of proposed and existing sites. The model does this by maximizing the difference between gross recreation benefits and travel, investment, management, and site-opportunity costs. The model presented uses the Travel Cost Method for estimating recreation benefits within an operations research framework. The model is applied to selection of potential wilderness areas in Colorado. This example is then extended to show the model's capability in budget analysis and in planning to meet recreation targets.
Tipo: Journal Article Palavras-chave: Resource /Energy Economics and Policy.
Ano: 1983 URL: http://purl.umn.edu/32482
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POTENTIAL PITFALLS IN RENEWABLE RESOURCE DECISION MAKING THAT UTILIZES CONVEX COMBINATIONS OF DISCRETE ALTERNATIVES AgEcon
Hof, John G.; Marose, Robin K.; King, David A..
Decision makers in renewable resource planning are often unable to specify their objective function a priori, and are presented with a discrete set of alternatives reflecting a range of options that are actually much more continuous. It is common for the decision maker to be interested in some other alternative than those originally developed. An iterative process thus often takes place between decision maker an analyst as they search for a satisfactory alternative. This paper analyzes the economic tenability of simply interpolating (taking convex combinations of) initial alternatives to generate new alternatives in this process. It is shown that convex combinations of outputs will be producible (feasible) with the interpolated input levels, under...
Tipo: Journal Article Palavras-chave: Resource /Energy Economics and Policy.
Ano: 1985 URL: http://purl.umn.edu/32326
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