Abstract. Quadratic assignment models and linear-programming models have been proposed for land-use plan design. The models represent transportation and divisibility of production differently and have solution algorithms with very different properties, but the most important distinction is that quadratic assignment models can handle externalities whereas linear models without integer side conditions cannot. Therefore quadratic models are useful for plan-making in response to externalities problems, whereas linear models can be used only for plan-making in response to dynamics problems.
Master of Science (MS)Natural Resources and EnvironmentUniversity of Michiganhttp://deepblue.lib.umi...
The land allocation problem is one of selecting, from a set of available land units or parcels, a su...
Consequences of aggregating spatial units in an interactive multiple-goal linear programming (IMGLP)...
This thesis examines the use of mathematical models in astracting real world land use systems. The p...
Methods of obtaining a utility maximizing solution from quadratic programming models for farm planni...
In exploring land use options, input-output relations pertaining to agricultural activities are fed ...
http://deepblue.lib.umich.edu/bitstream/2027.42/7031/5/bad0985.0001.001.pdfhttp://deepblue.lib.umich...
The expanding population in the Lower Mainland of British Columbia, has been accompanied by a commen...
The paper deals with linear programming as a tool for land use analysis at the sub-regional level. A...
The paper deals with linear programming as a tool for land use analysis at the sub-regional level. A...
This paper reviews alternative market equilibrium models for policy analysis. The origin of spatial ...
Farmland abandonment has been a serious problem in marginal areas in Japan. One of the main disadvan...
A new convex Quadratically Constrained Quadratic Programming model (QCQP) is proposed for optimizing...
A wide variety of practical problem in design, planning and management can be formulated as quadrati...
Nearly optimal solutions in linear programming provide useful information to decision makers. Modeli...
Master of Science (MS)Natural Resources and EnvironmentUniversity of Michiganhttp://deepblue.lib.umi...
The land allocation problem is one of selecting, from a set of available land units or parcels, a su...
Consequences of aggregating spatial units in an interactive multiple-goal linear programming (IMGLP)...
This thesis examines the use of mathematical models in astracting real world land use systems. The p...
Methods of obtaining a utility maximizing solution from quadratic programming models for farm planni...
In exploring land use options, input-output relations pertaining to agricultural activities are fed ...
http://deepblue.lib.umich.edu/bitstream/2027.42/7031/5/bad0985.0001.001.pdfhttp://deepblue.lib.umich...
The expanding population in the Lower Mainland of British Columbia, has been accompanied by a commen...
The paper deals with linear programming as a tool for land use analysis at the sub-regional level. A...
The paper deals with linear programming as a tool for land use analysis at the sub-regional level. A...
This paper reviews alternative market equilibrium models for policy analysis. The origin of spatial ...
Farmland abandonment has been a serious problem in marginal areas in Japan. One of the main disadvan...
A new convex Quadratically Constrained Quadratic Programming model (QCQP) is proposed for optimizing...
A wide variety of practical problem in design, planning and management can be formulated as quadrati...
Nearly optimal solutions in linear programming provide useful information to decision makers. Modeli...
Master of Science (MS)Natural Resources and EnvironmentUniversity of Michiganhttp://deepblue.lib.umi...
The land allocation problem is one of selecting, from a set of available land units or parcels, a su...
Consequences of aggregating spatial units in an interactive multiple-goal linear programming (IMGLP)...