Telework, Co-working, and Relocation: How Will Economic and - - PDF document
7/24/2019 Telework, Co-working, and Relocation: How Will Economic and Technological Changes Alter Work Trips presented by presented to SCAG Michelle Bina, Cambridge Systematics co-authors Jingjing Zang (CS) Kevin Kane (SCAG) Anurag
Michelle Bina, Cambridge Systematics
presented to presented by
Jingjing Zang (CS) Kevin Kane (SCAG) Anurag Komanduri (CS) Sneha Roy (CS)
co-authors
SCAG June 6, 2019
2 4 6 8 10 12 14 1975 1985 1995 2005 2015 Miles
Average Commute Distance
3.0 3.5 4.0 4.5 5.0 5.5 6.0 2005 2006 2007 2008 2009 2010 2011 2012 2013 2014 2015 2016 2017 Share of Workers (%) Year
SHARE OF WORKERS WHO WORKED AT HOME
Source: ACS data
0.0% 1.0% 2.0% 3.0% 4.0% 5.0% 1 day 2 days 3 days 4 days 5 or more days
Share of Total Workers by Number of Days Telecommuting
CHTS NHTS (2009) NHTS (2017) 0% 1% 2% 3% 4% 5% 6% 7% 8% 9% 10%
Los Angeles Orange Riverside San Bernardino Ventura Imperial Share of Workers who Telework, by County
Telecommuters Home Workers
0% 2% 4% 6% 8% 10% 12% <$25K $25k-$50k $50k-$75k $75k-$100k $100k-$125k$125k-$150k$150k-$200k >$200k
Household Income Share of Workers that Telework
Telecommuter Home Worker
*Source: Pew Research Center.
Closer to home/more work-less travel, 40% Quieter than working at home, 7% Prefer social environment, 20% Have access to business services, 21% Other, 12%
REASON FOR WORKING AT COWORKING SITE
Other company
Home, 57% Would get another job, 8% Other, 3%
COWORKING SITE ALTERNATIVE
14.5 22.7
5 10 15 20 25 To Coworking Site To Other SoCal Office
Trip Distance (miles)
Traditional Work Arrangements
and salary workers
Employers in own incorporated business
Non-Traditional Work Arrangements (Gig Workers)
Independent Work Arrangements (Independent Workers)
workers
Growth Decline
200,000 400,000 600,000 800,000 1,000,000 1,200,000 1,400,000 1,600,000 1,800,000 Food Preparation and Sales Business and Finance Specialist Social Service and Office Support Construction, Repair, Transportation Farming, Production Education, Health Care Engineering, Computer, Legal
Automation Potential of Jobs by Occupation
Total SCAG Employment
200,000 400,000 600,000 800,000 1,000,000 1,200,000 1,400,000 1,600,000 1,800,000 0% 10% 20% 30% 40% 50% 60% 70% 80% 90% 100% Food Preparation and Sales Business and Finance Specialist Social Service and Office Support Construction, Repair, Transportation Farming, Production Education, Health Care Engineering, Computer, Legal
Automation Potential of Jobs by Occupation
Total SCAG Employment Brookings Frey Obsborne
200,000 400,000 600,000 800,000 1,000,000 1,200,000 1,400,000 1,600,000 1,800,000 0% 10% 20% 30% 40% 50% 60% 70% 80% 90% 100% Food Preparation and Sales Business and Finance Specialist Social Service and Office Support Construction, Repair, Transportation Farming, Production Education, Health Care Engineering, Computer, Legal
Automation Potential of Jobs by Occupation
Total SCAG Employment Brookings Frey Obsborne Nesta
Drivers of Change
Economic Changes Travel Changes Technology
Demand
preferences
Job displacement Job creation Work arrangement Self-employment / Freelancing Change in jobs by industry and
Change in Commute
Trip Frequency & VMT by Location and Time of Day
work-related travel
Automation Potential Gig Economy
Job Changes
mbina@camsys.com