Service Area Accessibility for Workers in Ramsey County

Title

Service Area Accessibility for Workers in Ramsey County

Published Date

2019

Publisher

Resilient Communities Project (RCP), University of Minnesota

Type

Presentation
Report
Other

Abstract

This project was completed as part of the 2018-2019 Resilient Communities Project (rcp.umn.edu) partnership with Ramsey County. The mission of Ramsey County's Workforce Solutions (WFS) program is to strengthen the economic success of the community through personalized and effective workforce development. It serves as a resource for job seekers by providing training opportunities and personalized assistance in searching and applying for jobs. WFS staff know there are many program participants who experience transportation barriers that prevent them from accessing or keeping jobs. Ramsey County project lead Max Holdhusen worked with a team of students in GEOG 5564: Urban Geographic Information Science and Analysis, taught by Dr. Ying Song, to build an accessibility index for Ramsey County employers, with the goal of identifying potential transportation barriers and accessibility issues for workers in relation to employers and available jobs in the county. The students' final report, presentation, and a poster summarizing the project are available.

Description

Report, presentation, and poster completed by students enrolled in GEOG 5564: Urban Geographic Information Science and Analysis, taught by Dr. Ying Song in spring 2019.

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Funding information

This project was supported by the Resilient Communities Project (RCP), a program at the University of Minnesota whose mission is to connect communities in Minnesota with U of MN faculty and students to advance community resilience through collaborative, course-based projects. RCP is a program of the Center for Urban and Regional Affairs (CURA). More information at http://www.rcp.umn.edu.

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Suggested citation

Koenen, Frank; Lundin, Joe; Scotty, Suzy. (2019). Service Area Accessibility for Workers in Ramsey County. Retrieved from the University Digital Conservancy, https://hdl.handle.net/11299/206446.

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