Advanced Search

Journal Navigation

Journal Home

Subscriptions

Archive

Contact Us

Table of Contents

Click here to sign up for SAGE Journal Email Alerts today!

Sign In to gain access to subscriptions and/or personal tools.
Journal of Planning Education and Research
This Article
Right arrow Full Text (PDF)
Right arrow References
Right arrow Alert me when this article is cited
Right arrow Alert me if a correction is posted
Right arrow Citation Map
Services
Right arrow Email this article to a friend
Right arrow Similar articles in this journal
Right arrow Similar articles in Web of Science
Right arrow Alert me to new issues of the journal
Right arrow Add to Saved Citations
Right arrow Download to citation manager
Right arrowRequest Permissions
Right arrow Request Reprints
Right arrow Add to My Marked Citations
Citing Articles
Right arrow Citing Articles via HighWire
Right arrow Citing Articles via Web of Science (3)
Right arrow Citing Articles via Google Scholar
Right arrow Citing Articles via Scopus
Google Scholar
Right arrow Articles by Ong, P. M.
Right arrow Articles by Miller, D.
Right arrow Search for Related Content
Social Bookmarking
Add to CiteULike   Add to Complore   Add to Connotea   Add to Del.icio.us   Add to Digg   Add to Reddit   Add to Technorati   Add to Twitter  
What's this?

Spatial and Transportation Mismatch in Los Angeles

Paul M. Ong

UCLA’s Ralph and Goldy Lewis Center for Regional Policy Studies

Douglas Miller

Institute for Social and Economic Research and Policy at Columbia University

This article compares the impacts of spatial mismatch (the geographic separation of workers and jobs) and transportation mismatch (the lack of access to a private automobile) on neighborhood employment-to-population ratios and unemployment rates. The study uses tract-level data for the Los Angeles metropolitan area. The analysis uses an instrumental-variable approach to correct for the simultaneity of employment and car ownership. Results indicate that transportation mismatch is the more important factor in generating poor labor-market outcomes, particularly for disadvantaged neighborhoods. Areas with relatively more jobs increase female employment rates but not male employment rates. On the other hand, lower car ownership rates significantly decrease the employment ratio and increase the unemployment rate for both sexes.

Key Words: employment • unemployment • poor neighborhoods

Journal of Planning Education and Research, Vol. 25, No. 1, 43-56 (2005)
DOI: 10.1177/0739456X04270244
Add to CiteULike CiteULike   Add to Complore Complore   Add to Connotea Connotea   Add to Del.icio.us Del.icio.us   Add to Digg Digg   Add to Reddit Reddit   Add to Technorati Technorati   Add to Twitter Twitter    What's this?


This article has been cited by other articles:


Home page
 Urban StudHome page
G. Painter, Cathy Yang Liu, and Duan Zhuang
Immigrants and the Spatial Mismatch Hypothesis: Employment Outcomes among Immigrant Youth in Los Angeles
Urban Stud, December 1, 2007; 44(13): 2627 - 2649.
[Abstract] [PDF]

Home page
 Urban StudHome page
L. Gobillon, H. Selod, and Y. Zenou
The Mechanisms of Spatial Mismatch
Urban Stud, November 1, 2007; 44(12): 2401 - 2427.
[Abstract] [PDF]