Improved Employment Data for Transportation Planning, 1998

(1998) Improved Employment Data for Transportation Planning, 1998. Transportation, Department of

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Abstract

Transportation planners typically use census data or small sample surveys to help estimate work trips in metropolitan areas. Census data are cheap to use but are only collected every 10 years and may not provide the answers that a planner is seeking. On the other hand, small sample survey data are fresh but can be very expensive to collect. This project involved using database and geographic information systems (GIS) technology to relate several administrative data sources that are not usually employed by transportation planners. These data sources included data collected by state agencies for unemployment insurance purposes and for drivers licensing. Together, these data sources could allow better estimates of the following information for a metropolitan area or planning region: · Locations of employers (work sites); · Locations of employees; · Travel flows between employees’ homes and their work locations. The required new employment database was created for a large, multi-county region in central Iowa. When evaluated against the estimates of a metropolitan planning organization, the new database did allow for a one to four percent improvement in estimates over the traditional approach. While this does not sound highly significant, the approach using improved employment data to synthesize home-based work (HBW) trip tables was particularly beneficial in improving estimated traffic on high-capacity routes. These are precisely the routes that transportation planners are most interested in modeling accurately. Therefore, the concept of using improved employment data for transportation planning was considered valuable and worthy of follow-up research.

Item Type: Departmental Report
Keywords: Data banks, Employers, Employment, Geographic information systems, Planning, Travel patterns, Work trips
Subjects: Transportation
Transportation > Traffic Management
Transportation > Data and Information Technology
Transportation > Data and Information Technology > Intelligent transportation systems
ID Code: 21778
Deposited By: Iowa DOT Library
Deposited On: 31 Mar 2016 12:30
Last Modified: 31 Mar 2016 12:30
URI: http://publications.iowa.gov/id/eprint/21778