THE ACCURACY OF SMALL-AREA POPULATION FORECASTS BASED ON A SPATIAL INTERACTION LAND-USE MODELING SYSTEM
As a result of the Intermodal Surface Transportation Efficiency Act (ISTEA) and Clean Air Act legislation, more agencies are employing or will be required to employ spatial interaction land-use models to develop small-area (subcounty) population forecasts. Information on the magnitude or characteristics of the error generated from these models or in small-area forecasts in general is limited. This paper presents a case study that adds to the knowledge of error in small-area forecasts by evaluating forecasts of census tract population that are developed from a spatial interaction land-use modeling system. Methodologies that can be used to examine forecast error more comprehensively are explained.
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Availability:
- Find a library where document is available. Order URL: http://worldcat.org/oclc/4626214
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Corporate Authors:
American Planning Association
122 South Michigan Avenue, Suite 1500
Chicago, IL United States 60603-6107 -
Authors:
- Tayman, J
- Publication Date: 1996
Language
- English
Media Info
- Features: Figures; References; Tables;
- Pagination: p. 85-98
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Serial:
- Journal of the American Planning Association
- Volume: 62
- Issue Number: 1
- Publisher: American Planning Association
- ISSN: 0194-4363
- Serial URL: http://www.tandfonline.com/toc/rjpa20/current
Subject/Index Terms
- TRT Terms: Case studies; Error analysis; Land use; Mathematical models; Methodology; Population forecasting
- Identifier Terms: Clean Air Act; Intermodal Surface Transportation Efficiency Act of 1991
- Uncontrolled Terms: Census tracts; Models; Spatial interaction
- Subject Areas: Highways; Planning and Forecasting; Public Transportation; I72: Traffic and Transport Planning;
Filing Info
- Accession Number: 00716522
- Record Type: Publication
- Files: TRIS, ATRI
- Created Date: Feb 25 1996 12:00AM