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Title:

ANALYTIC MINIMUM IMPEDANCE SURFACE: GEOGRAPHIC INFORMATION SYSTEM-BASED CORRIDOR PLANNING METHODOLOGY

Accession Number:

00820959

Record Type:

Component

Availability:

Transportation Research Board Business Office

500 Fifth Street, NW
Washington, DC 20001 United States

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Order URL: http://worldcat.org/isbn/0309072301

Abstract:

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 tradeoffs 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. AMIS 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 AMIS are set forth, and future enhancements are posited.

Supplemental Notes:

This paper appears in Transportation Research Record No. 1768, Transportation Data and Information Technology.

Language:

English

Corporate Authors:

Transportation Research Board

500 Fifth Street, NW
Washington, DC 20001 United States

Authors:

Grossardt, T
Bailey, K
Brumm, J

Pagination:

p. 224-232

Publication Date:

2001

Serial:

Transportation Research Record

Issue Number: 1768
Publisher: Transportation Research Board
ISSN: 0361-1981

ISBN:

0309072301

Features:

Figures (7) ; References (13) ; Tables (3)

Subject Areas:

Highways; Planning and Forecasting; Research; I72: Traffic and Transport Planning

Files:

TRIS, TRB, ATRI

Created Date:

Dec 5 2001 12:00AM

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