Analytic minimum impedance surface - Geographic information system-based corridor planning methodology

Highway corridor alignment presents a highly complex decision environment in which a variety of social, environmental, and economic factors must be defined and weighted and trade-offs must be evaluated. These data vary widely in format and quality. Stakeholders from various groups, often with competing interests, should be integrated into this process efficiently to determine objectives, to select data, and then to quantify the importance. Corridor planning is therefore an appropriate domain for the development and application of enhanced methodologies that conjoin multicriteria decision-support techniques with the spatial analytic and presentation capacities of a geographic information system. The analytic minimum impedance surface (AMIS) methodology is presented, and its application to a case study in the southeastern United States is evaluated. ANUS features the structured integration of stakeholder input into a hybrid analytic hierarchy process. The advantages of the approach are highlighted, along with the significance of process design in building an effective methodology. Several potential applications are discussed. Conceptual constraints and problems related to the implementation of ANUS are set forth, and future enhancements are posited.