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Teleworking and mobility: What do we
(think we) know and not know?
Patricia MOKHTARIAN
Professor
Georgia Institute of Technology, US
Susan G. & Christopher D. Pappas Professor
School of Civil and Environmental Engineering
Georgia Institute of Technology
How much (pre-COVID-19) teleworking was there?
• In the US, the work-
at-home commute
share has increased
from 2.3% in 1980
to 5.3% in 2018
• It now exceeds the
share of transit
(4.9% in 2018)
2
https://data.census.gov/cedsci/table?q=S08&d=ACS%201-
Year%20Estimates%20Subject%20Tables&tid=ACSST1Y2018.S0801
Percent
~77% drive-alone share omitted
How many are teleworking now (during COVID-19)?
40% (late March 2020, Pew) (https://www.pewsocialtrends.org/2020/03/30/most-americans-say-coronavirus-outbreak-has-impacted-their-lives/)
50% (Apr/May 2020, MIT) (Brynjolfsson et al. 2020, N = 50,000)
62% (Gallup) (https://news.gallup.com/poll/306695/workers-discovering-affinity-remote-work.aspx)
3
How many can telework?
Based on job
• 56% (non-self-employed, could partially, Global Analytics),
https://globalworkplaceanalytics.com/work-at-home-after-covid-19-our-forecast
• 40% (Pew),https://www.pewresearch.org/fact-tank/2020/05/06/telework-may-save-u-s-jobs-in-covid-19-downturn-especially-among-college-graduates/
• 37% (could entirely) (Dingel & Neiman 2020)
How many (say they) want to?
Of those who WAH during COVID-19: 54% “primarily”; 59%
“as much as possible” (https://newsroom.ibm.com/2020-05-01-IBM-Study-COVID-19-Is-Significantly-Altering-U-S-Consumer-Behavior-and-Plans-Post-Crisis;
https://news.gallup.com/poll/306695/workers-discovering-affinity-remote-work.aspx)
Of FT office wrkrs (co’s of  100 emps) who WAH during COVID-19:
• 56% some of the time
• 30% most of the time
• 12% all the time (https://www.gensler.com/uploads/document/695/file/Gensler-US-Work-From-Home-Survey-2020-Briefing-1.pdf)
Maybe I “want to, but know I really can’t, or shouldn’t”?
• Only 37% of those who could and wanted to actually did
(Mokhtarian & Salomon 1996)
4
How often did they telework (pre-COVID-19)?
5
Never WAH
(75.2%)
Exclusively WAH
 2 x/mo (6.6%)
Exclusive WAH
3-4 x/wk (1.9%)
Exclusive WAH
5+ x/wk (2.1%)
Exclusive WAH
1-2 x/wk (4.1%)
Never have
exclusive WAH
days (10.1%)
American Time Use Survey (2017-2018)
(https://www.bls.gov/news.release/flex2.t03.htm)
• Main job only, excludes self-employed
• “Worked at home”
 Excludes telework center
 Includes evenings
• “Worked exclusively at home”
 Excludes home+coffee shop
 Includes weekends
Ave. frequency ~1.7 days/wk
 ~5% non-self-empl workers
exclusively WAH on any given
weekday
There’s an optimum level of teleworking
The optimum level will differ from person to person,
and over time for the same person
On average, job satisfaction plateaued at around 15
hours / week of teleworking – i.e. at about 2 days/week
The optimum level differed by job and person
characteristics
6
Allen et al. 2015
How long did they telework (pre-COVID-19)?
An under-researched question!
After the 1989 Loma Prieta (SF) quake: (Pratt 1991)
• Only half the teleworkers (N = 32) were still doing so 2-6 mos later
Across three 2-year pilot projects:(Varma et al. 1998)
• 60-70% (N=773) were still doing so at the end
In one study of telecenter users: (Varma et al. 1998)
• 50% (N=274) had stopped teleworking within 9 months
Constraints more important than preferences
7
Definitional details are important!
Transportation impacts differ markedly
reduce
• salaried employees
• live-in domestics
neutral
• overtime work at home
• partial-day work at home*
8
ambiguous
• self-employment
• moonlighting
• long-distance telework
increase
• fieldwork
• working while traveling
* Neutral re VKT, but beneficial
re congestion & emissions
Mokhtarian et al. 2005; Mokhtarian & Henderson 1998
What do we (think we) know about the
travel impacts of teleworking?
Teleworkers have above-average one-way commute lengths
They tend to have more overall (“daily”) travel than non-teleworkers!
• Probably because they traveled EVEN MORE, before teleworking
Newly-generated non-work travel is negligible
Residential relocations
• Are not always farther away from work than before
• Either precede TW adoption or are claimed to be done for unrelated reasons
• I.e. teleworking reduces an increase in commute travel that would have
occurred anyway
9Mishra 2017; Mokhtarian et al. 2004; Ory & Mokhtarian 2006; Mokhtarian 1998
What do we need to study more?
 Long-distance teleworkers, home-based business workers
• How many are there, what is their counterfactual, how does their carbon footprint compare to
their counterfactual? Will their numbers increase due to “wage arbitrage” (firms can “now” hire
from anywhere)?
 Partial-day teleworking
• How much is happening; what are the impacts on peak-period congestion, AQ; is it replacing, or
augmenting, full-day teleworking?
 Teleworking frequency & duration
• Desired vs. actual; motivating, facilitating, constraining factors
 Residential relocations
• Disentangling causal influences; relationship to teleworking freq. & duration
 Intra-household relationships
• E.g. with respect to vehicle ownership and use (Kim et al. 2015)
 Longitudinal data, not just cross-sectional
• Selection bias makes causal inference challenging with cross-sectional data
10
Some closing thoughts
I worry about (post-COVID) forced TWing for those who
didn’t “sign up” for that
But if workers are allowed to choose individual
optimum frequencies, some of the touted benefits (e.g.
real estate savings to employers) may not materialize
For those who cannot (fully) telework
• Can more temporal flexibility (i.e. flexible work schedules) be
offered?
• (In some cases) can the job be split and recombined with
other(s) in such a way that partial teleworking can be offered? 11

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Teleworking and mobility: What do we (think we) know and not know? - Patricia MOKHTARIAN

  • 1. Teleworking and mobility: What do we (think we) know and not know? Patricia MOKHTARIAN Professor Georgia Institute of Technology, US Susan G. & Christopher D. Pappas Professor School of Civil and Environmental Engineering Georgia Institute of Technology
  • 2. How much (pre-COVID-19) teleworking was there? • In the US, the work- at-home commute share has increased from 2.3% in 1980 to 5.3% in 2018 • It now exceeds the share of transit (4.9% in 2018) 2 https://data.census.gov/cedsci/table?q=S08&d=ACS%201- Year%20Estimates%20Subject%20Tables&tid=ACSST1Y2018.S0801 Percent ~77% drive-alone share omitted
  • 3. How many are teleworking now (during COVID-19)? 40% (late March 2020, Pew) (https://www.pewsocialtrends.org/2020/03/30/most-americans-say-coronavirus-outbreak-has-impacted-their-lives/) 50% (Apr/May 2020, MIT) (Brynjolfsson et al. 2020, N = 50,000) 62% (Gallup) (https://news.gallup.com/poll/306695/workers-discovering-affinity-remote-work.aspx) 3 How many can telework? Based on job • 56% (non-self-employed, could partially, Global Analytics), https://globalworkplaceanalytics.com/work-at-home-after-covid-19-our-forecast • 40% (Pew),https://www.pewresearch.org/fact-tank/2020/05/06/telework-may-save-u-s-jobs-in-covid-19-downturn-especially-among-college-graduates/ • 37% (could entirely) (Dingel & Neiman 2020)
  • 4. How many (say they) want to? Of those who WAH during COVID-19: 54% “primarily”; 59% “as much as possible” (https://newsroom.ibm.com/2020-05-01-IBM-Study-COVID-19-Is-Significantly-Altering-U-S-Consumer-Behavior-and-Plans-Post-Crisis; https://news.gallup.com/poll/306695/workers-discovering-affinity-remote-work.aspx) Of FT office wrkrs (co’s of  100 emps) who WAH during COVID-19: • 56% some of the time • 30% most of the time • 12% all the time (https://www.gensler.com/uploads/document/695/file/Gensler-US-Work-From-Home-Survey-2020-Briefing-1.pdf) Maybe I “want to, but know I really can’t, or shouldn’t”? • Only 37% of those who could and wanted to actually did (Mokhtarian & Salomon 1996) 4
  • 5. How often did they telework (pre-COVID-19)? 5 Never WAH (75.2%) Exclusively WAH  2 x/mo (6.6%) Exclusive WAH 3-4 x/wk (1.9%) Exclusive WAH 5+ x/wk (2.1%) Exclusive WAH 1-2 x/wk (4.1%) Never have exclusive WAH days (10.1%) American Time Use Survey (2017-2018) (https://www.bls.gov/news.release/flex2.t03.htm) • Main job only, excludes self-employed • “Worked at home”  Excludes telework center  Includes evenings • “Worked exclusively at home”  Excludes home+coffee shop  Includes weekends Ave. frequency ~1.7 days/wk  ~5% non-self-empl workers exclusively WAH on any given weekday
  • 6. There’s an optimum level of teleworking The optimum level will differ from person to person, and over time for the same person On average, job satisfaction plateaued at around 15 hours / week of teleworking – i.e. at about 2 days/week The optimum level differed by job and person characteristics 6 Allen et al. 2015
  • 7. How long did they telework (pre-COVID-19)? An under-researched question! After the 1989 Loma Prieta (SF) quake: (Pratt 1991) • Only half the teleworkers (N = 32) were still doing so 2-6 mos later Across three 2-year pilot projects:(Varma et al. 1998) • 60-70% (N=773) were still doing so at the end In one study of telecenter users: (Varma et al. 1998) • 50% (N=274) had stopped teleworking within 9 months Constraints more important than preferences 7
  • 8. Definitional details are important! Transportation impacts differ markedly reduce • salaried employees • live-in domestics neutral • overtime work at home • partial-day work at home* 8 ambiguous • self-employment • moonlighting • long-distance telework increase • fieldwork • working while traveling * Neutral re VKT, but beneficial re congestion & emissions Mokhtarian et al. 2005; Mokhtarian & Henderson 1998
  • 9. What do we (think we) know about the travel impacts of teleworking? Teleworkers have above-average one-way commute lengths They tend to have more overall (“daily”) travel than non-teleworkers! • Probably because they traveled EVEN MORE, before teleworking Newly-generated non-work travel is negligible Residential relocations • Are not always farther away from work than before • Either precede TW adoption or are claimed to be done for unrelated reasons • I.e. teleworking reduces an increase in commute travel that would have occurred anyway 9Mishra 2017; Mokhtarian et al. 2004; Ory & Mokhtarian 2006; Mokhtarian 1998
  • 10. What do we need to study more?  Long-distance teleworkers, home-based business workers • How many are there, what is their counterfactual, how does their carbon footprint compare to their counterfactual? Will their numbers increase due to “wage arbitrage” (firms can “now” hire from anywhere)?  Partial-day teleworking • How much is happening; what are the impacts on peak-period congestion, AQ; is it replacing, or augmenting, full-day teleworking?  Teleworking frequency & duration • Desired vs. actual; motivating, facilitating, constraining factors  Residential relocations • Disentangling causal influences; relationship to teleworking freq. & duration  Intra-household relationships • E.g. with respect to vehicle ownership and use (Kim et al. 2015)  Longitudinal data, not just cross-sectional • Selection bias makes causal inference challenging with cross-sectional data 10
  • 11. Some closing thoughts I worry about (post-COVID) forced TWing for those who didn’t “sign up” for that But if workers are allowed to choose individual optimum frequencies, some of the touted benefits (e.g. real estate savings to employers) may not materialize For those who cannot (fully) telework • Can more temporal flexibility (i.e. flexible work schedules) be offered? • (In some cases) can the job be split and recombined with other(s) in such a way that partial teleworking can be offered? 11