A Hierarchical Goal‐Programming Approach To Environmental Land Use Management

Abstract

A mathematical goal programming model is described for the purpose of normative policy evaluation of environmental land use management on the Texas Gulf Coast. The model's three-level hierarchy, linking statewide, multicounty, and local models, allows the explicit consideration o f competing goals (policies) a t different spatial scales. Microlevel impacts of macrolevel environmental policy decisions, and vice versa, can be assessed.The purpose of this paper is t o describe a normative framework within which alternative policies of an environmental land-use character can be evaluated. For many years geographers, planners, economists, and sociologists have been struggling with various facets of this problem. The literature of urban planning provides a rich array of small scale (census tract) urban allocation models for projecting future distributions of residential population, retailing, and manufacturing [6, 9, 101. Regional economics and regional science have provided us with a series of larger scale regional development models that relate regional resources to regional economic structure [ 4 ] . Although useful and interesting in their own right, both approaches have important limitations. Boyce, Day, and McDonald [ I ] have noted the lack of sensitivity of urban allocation models to alternative policy formulations particularly in the area of transportation, while regional resource models have generally not reflected sensitivity to environmental parameters except

Regional poverty and infection disease: early exploratory evidence from the COVID-19 pandemic

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Land Use Efficiency and Total Factor Productivity—Distribution Dynamic Evolution of Rural Living Space in Chongqing, China

“…DEA is a non-parametric method used to evaluate the relative efficiency of a unit in a production system. It was developed according to the research of Charnes and Cooper which is based on relative efficiency [29]. The traditional DEA model is invalid before time series data.…”

An extended goal programming methodology for analysis of a network encompassing multiple objectives and stakeholders

“…An indicative, but not exhaustive, review of the use of goal programming for problems with either multiple stakeholders or a network structure is given by the remainder of this paragraph. The initial example of the use of goal programming to make decisions over a hierarchical network is given by Charnes, Haynes, Hazleton, and Ryan (1975 ) who formulate a model a three level network for environmental land use planning. The model considers economic and environmental objectives, as well as stakeholders including demographical and industrial groups, and has an assumed governmental decision maker.…”