ctpp-news April 2008

ctpp-news@mailman.chrispy.net

2 participants
3 discussions

RE: [CTPP] How often do people change their workplacelocation? LONG POST.

by Murakami, Elaine

To Nathan (hope you don't mind me sharing your email) and all: For the residence changes, we do have data from the decennial census and the ACS. Celia Boertlein has provided these numbers: For persons age 5 and over: Nearly 15% of people move their residence each year, and nearly 45% move in 5 years. What I would LOVE to know is of the total worker population, how many change EITHER or BOTH their residence location or workplace location in a 1 year, 3 year and 5 year period. Maybe what we really need is a longitudinal travel behavior survey, perhaps along the lines of the German Mobility Panel. Some of you know that while I was at PSRC, the Puget Sound Transportation Panel (PSTP) was started in 1989, and continued until 2002, although travel behavior data was not collected every year. However, as a regional panel, when people moved out of the region, they were no longer in sample. This special panel study began with an oversample of regular transit users (at least 2 days per week) and regular carpoolers (at least 2 days a week). The concept of a general purpose longitudinal travel behavior survey has never "caught on" in the United States, although panels have often been used in transportation "before and after" studies. I believe that Heather Contrino is interested "brainstorming" ideas for the future of the National Household Travel Survey, so I've cc'd her in this email. Elaine -----Original Message----- From: Nathan Erlbaum [mailto:nerlbaum@dot.state.ny.us] Sent: Friday, April 25, 2008 5:28 AM To: Murakami, Elaine Subject: Re: [CTPP] How often do people change their workplacelocation? LONG POST. ok so people change jobs every 4 years....on the pop res side the number is every 6 years or about 15-17% of the pop moves each year......the real question is how does this change impact their o&d, and was there a mode shift or travel time change....if you work in a major metro area such as dc or nyc then changing jobs might simply mean getting off at a different transit stop. In smaller metro areas it could be one side of town verses the other. I think a similar issues exists on the residence side , but it seems to me what is the net difference is the question we need to understand because that changes the relationship in the metro area between mobility and accessibility....very interesting question here >>> "Murakami, Elaine" <Elaine.Murakami(a)fhwa.dot.gov> 4/24/2008 5:50 PM >>> The average job tenure is about 4 years in the United States, but varies by age. The Canadian WES ( Workplace and Employment Survey) in their 2001/2002 panel found that 24% of workers made some change in one year: 9% different employer 9% not a paid worker anymore 6% same employer, but different job But, I am not sure how much work patterns in Canada reflect patterns in the U.S. Also, "job tenure" is NOT quite the same question as finding how often people change their workplace LOCATION. Because people move their residence, change their participation in the labor force, change their workplace location and change their means of transportation to work, the risk of identifying an individual in aggregated CTPP tables (for Counties and Places with 20,000 or more) should be reduced after accumulation over multiple years, even for means of transportation that have small shares. I am trying to quantify these changes over time. We don't have a transportation/travel behavior panel study that measures this directly! A longitudinal survey (or panel) is the best way to capture dynamics, such as changes in residence location, changes in employment status and changes in workplace location. These kinds of surveys ask questions of the SAME population over time, so the change is measured directly, rather than inferred from cross-sectional samples. Mr. Gottschalck at the Census Bureau has provided me with information on how the Survey of Income and Program Participation (SIPP) could be used to analyze SOME of these changes, but it is not straightforward and would take some effort! Also, one could have the SAME employer (in the SIPP) but change their work location, for example, to work at one CVS drugstore or Bank of American and switch to another branch, so any estimates from SIPP would be somewhat lower than "truth". Have you worked with the SIPP, or do you have another data source that might provide some light on this question? Do you have a graduate student who might be interested in pursuing this question? Even if my main interest lies in analyzing risk for CTPP tabulations, it is clearly relevant to travel demand management issues, as the best time to influence travel mode to work might be when the workplace or residence location changes. Thanks! Elaine Murakami FHWA Office of Planning 206-220-4460 -----Original Message----- From: alfred.o.gottschalck(a)census.gov [mailto:alfred.o.gottschalck@census.gov] Sent: Wednesday, April 23, 2008 7:48 AM To: Murakami, Elaine Cc: thomas.j.palumbo(a)census.gov Subject: RE: Labor Force turnover from SIPP Hello Elaine -- OK, I now fully understand your question. You should be able to use SIPP to construct a turnover rate pertaining to the length of the panel. You would have to link together the individual waves of the panel (nine in total), and then create monthly variables for the entire panel. The most recent complete panel would be the 2001 panel, which is three years in length, so you would have 36 monthly variables (e.g., AGE01, AGE02, ..., AGE36). The 2004 panel is still ongoing and not scheduled to be complete until the latter half of 2008. You would have to do some programming to produce such estimates, essentially calculating a job change when a job ID changes. The job ID you would have to create, and you would define a change as you see fit. SIPP collects information for up to two jobs, and I would suggest that you simply limit your analysis to job 1 for the time being until you have your code set. You should have sufficient sample size for each of your age groups at the national level. The SIPP data dictionary is available at: http://www.bls.census.gov/sipp_ftp.html#sipp . The SIPP homepage can be accessed at: http://www.sipp.census.gov/sipp/ . Data can be dowloaded via FTP from the SIPP home page, as well as technical documentation on how to use the SIPP files. Below are some variable data dictionary entries that would get you started in identifying job "changes" as you specified in your prior email: D EENO1 2 883 T JB: Across-wave employer index/number Unique job number that will remain the same from wave to wave. NOTE: See entry for ACAROVR1 below. U All persons 15+ at end of reference period who had a job during the reference period. EPOPSTAT = 1 and EPDJBTHN = 1 and (EJOBCNTR > 0 or ECFLAG =1) V 01:99 .Job ID V -1 .Not in Universe D ESTLEMP1 2 885 T JB: Still working for this employer Is ... employed by this employer now? U All persons 15+ at end of reference period who had a job during the reference period and who were not contingent workers. EPOPSTAT = 1 and EPDJBTHN = 1 and EJOBCNTR > 0 and ECFLAG not equal to 1 V -1 .Not in Universe V 1 .Yes V 2 .No D TSJDATE1 8 888 T JB: Starting date of job When did ... start this job? Year digits 1-4 Range 1934:2008 Month digits 5-6 Range 01:12 Day digits 7-8 Range 01:31 NOTE: See entry for ACAROVR1 below. U All persons 15+ at end of reference period who had a job during the reference period but were not contingent workers. EPOPSTAT = 1 and EPDJBTHN = 1 and EJOBCNTR > 0 and ECFLAG not equal to 1 V 19340101:20080131 .Date V -1 .Not in Universe D TEJDATE1 8 897 T JB: Ending date of job When did this employment end? Year digits 1-4 Range 2003:2008 Month digits 5-6 Range 01:12 Day digits 7-8 Range 01:31 U All persons 15+ at end of reference period who had a job during the reference period, but were not contingent workers, and whose job ended during the reference period. EPOPSTAT = 1 and EPDJBTHN = 1 and EJOBCNTR > 0 and ECFLAG not equal to 1 and ESTLEMP1 = 2 V 20031001:20080131 .Date V -1 .Not in Universe If you have any other questions, please feel free to contact me. Sincerely, Alfred Gottschalck Alfred Gottschalck, Ph.D. Economist HHES U.S. Census Bureau ------------------------------------ Dear Mr. Gottschalck- What I am looking for is the PERCENT of workers WHO CHANGE THEIR JOB LOCATION once (or more) within a 3 year period, preferably by AGE (under age 30, 30 to 59, 60 and over). For simplicity, we can assume that people who change their employer simultaneously change their workplace location. Also, people who leave the labor force in the 3 year period would also be counted in the proportion of changers. Even better would be the PERCENT of workers WHO CHANGE EITHER THEIR RESIDENCE LOCATION OR THEIR WORKPLACE LOCATION in a 3 year period. But I don't want to be greedy. I found your paper http://www.sipp.census.gov/sipp/p70s/p70-96.pdf so I am hoping that you can help me out! I got some data from the Canadian WES, but would prefer to use U.S. data, even if it is older. Thanks in advance. Elaine Murakami FHWA Office of Planning 206-220-4460 _______________________________________________ ctpp-news mailing list ctpp-news(a)chrispy.net http://www.chrispy.net/mailman/listinfo/ctpp-news

16 years

CTPP Program Update

by Ed Christopher

Over the past few months many of the plans for the CTPP program ACS data have been coming together. On May 21, 2008 the leadership of the AASHTO Census Data working group under the direction of Jonette Kreideweis and the CTPP Technical Advisory Group lead by Elaine Murakami will host a webinar to update the user community on the status of the CTPP program. Below is the invitation and the link that you will have to follow to preregister. ---------------------- What is going on with the Census Transportation Planning Products Program? On Wednesday, May 21, 2008 the CTPP Technical Advisory Group in coordination with AASHTO Standing Committee on Planning (SCOP) Census Work Group will host a Town Hall webinar to help bring the community up to date on what is happening with the CTPP. Now that the American Community Survey has begun to produce data and the AASHTO CTPP Consolidated Purchase is funded, plans are moving ahead with the development of the CTPP program. The Town Hall meeting will begin promptly at Noon (Eastern) and run for 2 hours. It will include presentations along with ample time for question and answers. Topics covered will include: AASHTO Status report on Oversight Board and Work Plan AASHTO SCOP Census Work Group activities - Table definition and Disclosure Review Board issues - Data access software design - Research and Capacity Building proposals TAZ definition timeframe Research activities - NCHRP projects: Disclosure Avoidance (synthetic data), Combining ACS with LEHD, Using ACS - FHWA activities: Workplace Allocation, and Web Access flow data Space is very limited and advanced preregistration is necessary. To register go here and complete the form. http://www.nhi.fhwa.dot.gov/resources/webconference/web_conf_learner_reg.as… Currently we only have 49 slots for this meeting and if you have difficulty registering please let Ed Christopher know edc(a)berwyned.com or 708-283-3534. -- Ed Christopher 708-283-3534 (V) 708-574-8131 (cell) FHWA RC-TST-PLN 19900 Governors Dr Olympia Fields, IL 60461

16 years

How often do people change their workplace location? LONG POST.

by Murakami, Elaine

The average job tenure is about 4 years in the United States, but varies by age. The Canadian WES ( Workplace and Employment Survey) in their 2001/2002 panel found that 24% of workers made some change in one year: 9% different employer 9% not a paid worker anymore 6% same employer, but different job But, I am not sure how much work patterns in Canada reflect patterns in the U.S. Also, "job tenure" is NOT quite the same question as finding how often people change their workplace LOCATION. Because people move their residence, change their participation in the labor force, change their workplace location and change their means of transportation to work, the risk of identifying an individual in aggregated CTPP tables (for Counties and Places with 20,000 or more) should be reduced after accumulation over multiple years, even for means of transportation that have small shares. I am trying to quantify these changes over time. We don't have a transportation/travel behavior panel study that measures this directly! A longitudinal survey (or panel) is the best way to capture dynamics, such as changes in residence location, changes in employment status and changes in workplace location. These kinds of surveys ask questions of the SAME population over time, so the change is measured directly, rather than inferred from cross-sectional samples. Mr. Gottschalck at the Census Bureau has provided me with information on how the Survey of Income and Program Participation (SIPP) could be used to analyze SOME of these changes, but it is not straightforward and would take some effort! Also, one could have the SAME employer (in the SIPP) but change their work location, for example, to work at one CVS drugstore or Bank of American and switch to another branch, so any estimates from SIPP would be somewhat lower than "truth". Have you worked with the SIPP, or do you have another data source that might provide some light on this question? Do you have a graduate student who might be interested in pursuing this question? Even if my main interest lies in analyzing risk for CTPP tabulations, it is clearly relevant to travel demand management issues, as the best time to influence travel mode to work might be when the workplace or residence location changes. Thanks! Elaine Murakami FHWA Office of Planning 206-220-4460 -----Original Message----- From: alfred.o.gottschalck(a)census.gov [mailto:alfred.o.gottschalck@census.gov] Sent: Wednesday, April 23, 2008 7:48 AM To: Murakami, Elaine Cc: thomas.j.palumbo(a)census.gov Subject: RE: Labor Force turnover from SIPP Hello Elaine -- OK, I now fully understand your question. You should be able to use SIPP to construct a turnover rate pertaining to the length of the panel. You would have to link together the individual waves of the panel (nine in total), and then create monthly variables for the entire panel. The most recent complete panel would be the 2001 panel, which is three years in length, so you would have 36 monthly variables (e.g., AGE01, AGE02, ..., AGE36). The 2004 panel is still ongoing and not scheduled to be complete until the latter half of 2008. You would have to do some programming to produce such estimates, essentially calculating a job change when a job ID changes. The job ID you would have to create, and you would define a change as you see fit. SIPP collects information for up to two jobs, and I would suggest that you simply limit your analysis to job 1 for the time being until you have your code set. You should have sufficient sample size for each of your age groups at the national level. The SIPP data dictionary is available at: http://www.bls.census.gov/sipp_ftp.html#sipp . The SIPP homepage can be accessed at: http://www.sipp.census.gov/sipp/ . Data can be dowloaded via FTP from the SIPP home page, as well as technical documentation on how to use the SIPP files. Below are some variable data dictionary entries that would get you started in identifying job "changes" as you specified in your prior email: D EENO1 2 883 T JB: Across-wave employer index/number Unique job number that will remain the same from wave to wave. NOTE: See entry for ACAROVR1 below. U All persons 15+ at end of reference period who had a job during the reference period. EPOPSTAT = 1 and EPDJBTHN = 1 and (EJOBCNTR > 0 or ECFLAG =1) V 01:99 .Job ID V -1 .Not in Universe D ESTLEMP1 2 885 T JB: Still working for this employer Is ... employed by this employer now? U All persons 15+ at end of reference period who had a job during the reference period and who were not contingent workers. EPOPSTAT = 1 and EPDJBTHN = 1 and EJOBCNTR > 0 and ECFLAG not equal to 1 V -1 .Not in Universe V 1 .Yes V 2 .No D TSJDATE1 8 888 T JB: Starting date of job When did ... start this job? Year digits 1-4 Range 1934:2008 Month digits 5-6 Range 01:12 Day digits 7-8 Range 01:31 NOTE: See entry for ACAROVR1 below. U All persons 15+ at end of reference period who had a job during the reference period but were not contingent workers. EPOPSTAT = 1 and EPDJBTHN = 1 and EJOBCNTR > 0 and ECFLAG not equal to 1 V 19340101:20080131 .Date V -1 .Not in Universe D TEJDATE1 8 897 T JB: Ending date of job When did this employment end? Year digits 1-4 Range 2003:2008 Month digits 5-6 Range 01:12 Day digits 7-8 Range 01:31 U All persons 15+ at end of reference period who had a job during the reference period, but were not contingent workers, and whose job ended during the reference period. EPOPSTAT = 1 and EPDJBTHN = 1 and EJOBCNTR > 0 and ECFLAG not equal to 1 and ESTLEMP1 = 2 V 20031001:20080131 .Date V -1 .Not in Universe If you have any other questions, please feel free to contact me. Sincerely, Alfred Gottschalck Alfred Gottschalck, Ph.D. Economist HHES U.S. Census Bureau ------------------------------------ Dear Mr. Gottschalck- What I am looking for is the PERCENT of workers WHO CHANGE THEIR JOB LOCATION once (or more) within a 3 year period, preferably by AGE (under age 30, 30 to 59, 60 and over). For simplicity, we can assume that people who change their employer simultaneously change their workplace location. Also, people who leave the labor force in the 3 year period would also be counted in the proportion of changers. Even better would be the PERCENT of workers WHO CHANGE EITHER THEIR RESIDENCE LOCATION OR THEIR WORKPLACE LOCATION in a 3 year period. But I don't want to be greedy. I found your paper http://www.sipp.census.gov/sipp/p70s/p70-96.pdf so I am hoping that you can help me out! I got some data from the Canadian WES, but would prefer to use U.S. data, even if it is older. Thanks in advance. Elaine Murakami FHWA Office of Planning 206-220-4460

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ctpp-news April 2008