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Using LEHD Data for Travel Demand Models : The Florida Experience. presented by Krishnan Viswanathan Cambridge Systematics, Inc. Co-authors Vidya Mysore, Florida Department of Transportation Nanda Srinivasan, Cambridge Systematics, Inc. May 7, 2007. Outline. Motivation
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Using LEHD Data for Travel Demand Models : The Florida Experience presented byKrishnan Viswanathan Cambridge Systematics, Inc. Co-authorsVidya Mysore, Florida Department of TransportationNanda Srinivasan, Cambridge Systematics, Inc. May 7, 2007
Outline • Motivation • Longitudinal Employer Household Dynamics (LEHD) Description • Some Comparisons • FSUTMS Data Analysis • Summary • Future Directions
Motivation Review and possible use of LEHD and Employment data for travel demand modeling • Current and future directions of Census and other available data sources for transportation • Review of QCEW [Quarterly Census of Employment and Wages] (Employment data from AWI, state agency) and LEHD Data • Data integration
LEHD Description • LEHD combines federal and state administrative data on employers and employees with core Census Bureau censuses and surveys • Local Employment Dynamics (LED) is a voluntary partnership between state labor market information agencies and the U.S. Census Bureau to develop new information about local labor market conditions
LEHD Description • The data for LEHD will be based on Quarterly Census of Employment and Wages (QCEW/ES-202) • Number of people employed and the wages paid to the employees each quarter • Multi-establishment employers also provide individual worksite data • Preliminary annual data are available in June and final annual data are available in October of each year. Quarterly data are available six months after the end of each quarter
LEHD Description Origin Destination Database Home Block (U/I Wage Data) Workplace Block (QCEW Data) # of Workers (primary job) and # of Jobs • Home Profile – block group • # workers • Worker distribution • age • earnings • industry • Work Profile – block group • # establishments • # workers • Worker distribution • age • earnings • industry • Demand/ Growth Indicators • Job creation/loss • Hires/separations • Earnings hires/separations Acknowledgments : US Census Bureau
LEHD Description OD with ACS: Possible Model for Integration • ACS Data • Trip Time • Mode • Distance Home Block (U/I Wage Data) Workplace Block (QCEW Data) # of Workers (primary job) and # of Jobs • Work Profile – block group • # establishments • # workers • Worker distribution • age • earnings • industry • Demand/ Growth Indicators • Job creation/loss • Hires/separations • Earnings hires/separations • Home Profile – block group • # workers • Worker distribution • age • earnings • industry Acknowledgments : US Census Bureau
Some Comparisons An old well reviewed favorite – CTPP New kid on the block – LEHD North East Regional Planning Model (NERPM) region – Duval, St. Johns, Clay and Nassau Counties (Jacksonville is major city) CBD
Some ComparisonsTravel Statistics • 98 percent (CTPP) vs. 77 percent (LEHD) travel within region • Similar results in an earlier BTS Study by Cesar Singh • Under a quarter of LEHD travel is outside the region • Travel shares to CBD is approximately the same
Some Comparisons CBD Distance LEHD – Primary Jobs CTPP
FSUTMS Data Analysis • Models Used • QCEW Data Analysis • Comparison between InfoUSA and QCEW data • Results
Models Used 2005 NERPM CF Model 2000 Polk TPO Model
QCEW (ES202) Data Analysis • December 2004 data used for analysis • Data overlaid to TAZ • Geocoded the data for address matching • ZDATA2 data developed from QCEW Data
Results Model HBW Trips LEHD Primary Jobs
Results Model HBW Trips CTPP JTW Trips
Results Model HBW Trips LEHD Primary Jobs
Results Model HBW Trips CTPP JTW Trips
Summary • Under reporting of internal trips • Model results are reasonable • QCEW data good source for employment data • Issues regarding data suppression
Future Directions • Potential data source for model calibration, more review of long distance trips to work • Coordination effort for data aggregation with AWI • Work with Census Bureau to produce LEHD for Florida model • Variability of data over time
Acknowledgments • Jim Baxter, Modeling Manager, FDOT District 1 • Milton Locklear, Modeling Manager, FDOT District 2 • Kathie Hughes, David Thurmond, AWI • Pam Schenker, ex-AWI