Work schedule flexibility and parking preferences

Wei-Shiuen Ng

University of California, Berkeley

DOI: https://doi.org/10.5198/jtlu.2016.554

Keywords: commute travel, campus planning, policy, parking, work schedule


Abstract

The flexibility of work schedule affects the number of commute trips made per week and the number of hours spent at work, which can influence congestion and transportation emission levels. Understanding the linkages between the flexibility of work schedule and travel behavior will provide insights for policies targeted at transportation and parking demand management. This study uses the University of California (UC) Berkeley campus as a study site. UC Berkeley is one of the largest employers in the San Francisco Bay Area with over 11,000 employees, leading to a wide range of employment type, job characteristics, and varying levels of work schedule flexibility. A total of 86 one-on-one interviews were conducted with UC Berkeley employees. This study explores common factors that contribute to UC Berkeley employees’ parking preferences and considers how academic discipline or employment type could affect work schedule, which in turn influences travel behavior. Driving is the most popular choice across employment type and job categories. However, not all employees who drive alone have the same parking location preferences. The flexibility of work schedule is one of the key factors that influences parking preferences at the workplace, especially when there are alternative parking locations.

References

Abkowitz, M. D. 1981. An analysis of the commuter departure time decision. Transportation 10: 283–297.

Alexander, B., M. Dijst, and D. Ettema. 2010. Working from 9 to 6? An analysis of in-home and out-of-home working schedules. Transportation 37: 505–523.

Arnott, R., A. de Palma, and R. Lindsey. 1993. A structural model of peak-period congestion: A traffic bottleneck with elastic demand. The American Economic Review 83(1): 161–179.

Balepur, P. N., K. V. Varma, and P. L. Mokhtarian. 1998. Transportation impacts of center-based telecommuting: Interim findings from the neighborhood telecenters project. Transportation 25: 287–306.

Bates, J., J. Polak, P. Jones, and A. Cook. 2001. The valuation of reliability for personal travel. Transportation Research Part E 37: 191–229.

Ben-Akiva, M., M. Cyna, and A. de Palma. 1984. Dynamic model of peak-period congestion. Transportation Research B 18(4/5): 339–355.

Braid, R. M. 1989. Uniform versus peak-load pricing of a bottleneck with elastic demand. Journal of Urban Economics 26: 320–327.

Daganzo, C. F. 1985. The uniqueness of a time-dependent equilibrium distribution of arrivals at a single bottleneck. Transportation Science 19(1): 29–37.

Emmerink, R. H. M., and P. van Beek. 1997. Empirical analysis of work schedule flexibility: Implications for road pricing and driver information systems. Urban Studies 34(2): 217–234.

Gillen, D. W. 1978. Parking policy, parking location decisions and the distribution of congestion. Transportation 7: 69–85.

Hendrickson, C., and G. Kocur. 1981. Schedule delay and departure time decisions in a deterministic model. Transportation Science 15: 62–77.

Hendrickson, C., and E. Plank. 1984. The flexibility of departure times for work trips. Transportation Research Part A 18(1): 25–36.

Kitamura, R., P. Mokhtarian, R. Pendyala, and K. Goulias. 1991. An evaluation of telecommuting as a trip-reduction measure. Working Paper No. 5. Berkeley, CA: The University of California Transportation Center, University of California at Berkeley.

McKenzie, B., and M. Rapino. 2011. Commuting in the United States: 2009. U.S. Census Bureau. http://www.census.gov/prod/2011pubs/acs-15.pdf.

Miller, G. K., and C. T. Everett. 1982. Raising commuter parking prices—an empirical study. Transportation 11: 105–129.

Mokhtarian, P. 1991a. Telecommuting and travel: State of the practice, state of the art. Transportation 18: 319–342.

Mokhtarian, P. 1991b. An empirical analysis of the transportation impacts of telecommuting. Working Paper UCTC No. 131. Berkeley, CA: The University of California Transportation Center, University of California at Berkeley.

Mokhtarian, P., C. Ho, S. Hung, T. Lam, E. Raney, L. Redmond, D. Stanek, and K. Varma. 1997. Residential area-based offices project: Final report on the evaluation of impacts. Research Report UCD-ITS-RR-97017. Davis, CA: Institute of Transportation Studies, University of California Davis.

Moylan, E., M. Schabas, and E. Deakin. 2014. Residential permit parking: Better off without it? Transportation Research Record 2469: 23–31.

Noland, R. B., and K. A. Small. 1995. Travel-time uncertainty, departure time choice, and the cost of morning commutes. Transportation Research Record 1493: 150–158.

Patton, M. Q. 1980. Qualitative evaluation methods. Thousands Oaks, CA: Sage Publications.

Pendyala, R. M., K. G. Goulias, and R. Kitamura. 1991. Impact of telecommuting on spatial and temporal patterns of household travel. Transportation 18: 383–409.

Rubin, H. J., and I. Rubin. 2005. Qualitative interviewing: The art of hearing data. Thousand Oaks, CA: Sage Publications.

Saleh, W., and S. Farrell. 2005. Implications of congestion charging for departure time choice: Work and non-work schedule flexibility. Transportation Research Part A 39: 773–791.

Seidman, I. 2006. Interviewing as qualitative research: A guide for researchers in education and the social sciences. Third Edition. New York: Teachers College Press.

Small, K. A. 1982. The scheduling of consumer activities: Work trips. The American Economic Review 72(3): 467–479.

Smith, M. J. 1984. The existence of a time-dependent equilibrium distribution of arrivals at a single bottleneck. Transportation Science 18(4): 385–394.

Toffler, A. 1980. The third wave. New York: William Morrow.

UC Berkeley. 2012a. 2012 Transportation and housing survey. Unpublished raw data. Berkeley, CA: Department of Parking and Transportation, University of California Berkeley.

UC Berkeley. 2012b. Workforce profile: Demographics and statistical information. Human Resources, University of California Berkeley. URL: http://hrweb.berkeley.edu/diversity/demographics/workforce-profile.

UC Berkeley. 2013. Parking facility survey. Unpublished raw data. Berkeley, CA: Department of Parking and Transportation, University of California Berkeley.

UC Berkeley. 2015. 2012 Trends by job type. Unpublished raw data. Cal Answers. Berkeley, CA: Human Resources Census, University of California Berkeley.

UCOP. 2011. The University of California statistical summary of students and staff. Fall 2011. Department of Information Technology Services, Office of the President, University of California. URL: http://www.ucop.edu/ucophome/uwnews/stat/.

UCOP. 2012. University of California Berkeley full-time and part-time headcount: Personnel tables. Corporate Personnel System, University of California Office of the President. URL: http://www.ucop.edu/ucophome/uwnews/stat/headcount_fte/apr2012/er1bkh.pdf.

UCOP. 2013. Headcount of UC Berkeley faculty. Unpublished raw data. Berkeley, CA: Corporate Personnel System, University of California Office of the President.

U.S. Office of Personnel Management. 2014. Handbook on alternative work schedules. OPM. http://www.opm.gov/policy-data-oversight/pay-leave/reference-materials/handbooks/alternative-work-schedules#Core Hours.

Van Manen, M. 1990. Researching lived experience: Human science for an action sensitive pedagogy. London, Ontario: Althouse Press.

Vana, P., C. R. Bhat, and P. L. Mokhtarian. 2008. On modeling the choices of work-hour arrangement, location, and frequency of telecommuting. Research Report UCD-ITS-RR-08-48. Davis, CA: Institute of Transportation Studies, University of California Davis.

Wells, K., F. Douma, H. Loimer, L. Olson, and C. Pansing. 2001. Telecommuting implications for travel behavior. Case studies from Minnesota. Transportation Research Record 1752: 148–156.

Wilson, P. W. 1989. Scheduling costs and the value of travel time. Urban Studies 26: 356–366.

Yeraguntla, A., and C. Bhat. 2005. Classification taxonomy and empirical analysis of work arrangements. Transportation Research Record 1926: 233–241.

Zhang, X., H. Yang, H. Huang, and H. M. Zhang. 2005. Integrated scheduling of daily work activities and morning-evening commutes with bottleneck congestion. Transportation Research Part A 29: 41–60.