Pacific Southwest Region 9 UTC

Examining Spatial Mismatch Through a New Geography of Opportunity Index

Project Number

MT-17-09

Project Summary

 

Funding Source(s) and
Amounts Provided (by each agency or organization)

Project Status

In progress

Year

2017

Topic Area

Urban Mobility

P.I. Name & Address

Director, Graduate Programs in Public Policy; Director of Research, Lusk Center for Real Estate, USC Price School of Public Policy
University of Southern California
650 Childs Way
Ralph and Goldy Lewis Hall (RGL) 214
Los Angeles, CA 90089-0626
United States
gpainter@usc.edu

Co-P.I.

Senior Associate Dean, Academic Affairs; Professor & Director of Graduate Programs in Urban Planning, Sol Price School of Public Policy
University of Southern California
650 Childs Way
Ralph and Goldy Lewis Hall (RGL) 301C
Los Angeles, CA 90089-0626
United States
boarnet@usc.edu

 

Funding Source(s) and
Amounts Provided (by each agency or organization)

PSR (DOT)

$99,983

Total Project Cost

$

Agency ID or Contract Number

No sub-award number yet

Start and End Dates

1/1/2018 – 12/31/2018

Brief Description of
Research Project

The objective of this project is to develop a new index of geographic opportunity that improves upon existing measures to analyze the spatial mismatch between job growth and populations in urban settings. Past measures of job accessibility have relied on measures of linear distance between populations and job, actual commute times for those working, or much simpler regional approaches.  These past measures suffer from combinations of measurement error and endogeneity due to the fact that linear distance is most relevant if someone has a car and commute times derived from a working population subsumes a set of job market and residential choices for this population.  Past measures are most problematic for the most disadvantaged populations that are unlikely to have a car. This research highlights the need to develop an exogenous measure of job access that does not require car ownership.  In the proposed study, we will develop a gravity model of job access that uses travel time in public transportation.  Generalized Transit Feed Specification data can be used to replace measures of actual commute times of workers and linear distance to produce better estimates for job accessibility for the most vulnerable populations.  We will then test this new measure of the Geography of Opportunity in models of spatial mismatch to determine how job accessibility impact employment outcomes.  This study has important implications for understanding patterns of unemployment, underemployment, and access to labor markets, especially for populations with employment barriers.

Describe Implementation of Research Outcomes (or why not implemented)

 

Impacts/Benefits of Implementation (actual, not anticipated)

 

Web Links, Reports, Project website