Improved employment data for transportation planning

Souleyrette, Reginald; Plazak, David; Strauss, Tim; Imerman, Mark; Johnson, Tim

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Improved employment data for transportation planning

1998-10-01
By Souleyrette, Reginald ; Plazak, David ; Strauss, Tim

File Language:

English

Details

Creators:

Souleyrette, Reginald ; Plazak, David ; Strauss, Tim ; Imerman, Mark ; Johnson, Tim
Corporate Contributors:

Iowa. Dept. of Transportation
Subject/TRT Terms:
Resource Type:

Research Paper
Geographical Coverage:

Iowa
Corporate Publisher:

Iowa State University. Center for Transportation Research and Education
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: (1) Locations of employers (work sites); (2) Locations of employees; (3) 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. Figures, references, appendices. 1528k, 74p.
Format:

PDF
Download URL:

https://rosap.ntl.bts.gov/view/dot/4843/dot_4843_DS1.pdf
File Type:

[PDF - 1.49 MB]
Collection(s):

US Transportation Collection
Main Document Checksum:

urn:sha256:889f748ebb9040c7021aaad55df76c603ee05256158a9c2c74870ec0a3f6c263

File Language:

English

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