Adding robustness to linear planning models through simulation

The planning community concerned with subjective land evaluation criteria can benefit from an iterative simulation model based on a modification of the Kane Simulation language (KSIM). Within a linear planning model designed to protect prime agricultural lands, procedure implementation demonstrates promise for future applications. The interaction matrix is useful for refining factor selection and weighting and for incorporation of factor interactions within weights. Model temporality aids in determining proper planning strategies by allowing examination of future implications and permitting adjustments prior to policy implementation. To implement the model consistently and efficiently, further refinement is necessary. Some method of factor reduction prior to application of the cross-impact matrix is necessary to reduce model development time, to eliminate extensive explanations of the KSIM graphics, and to promote general model understanding.