Empirical Analysis of Compressed Workweek Choices

Document Type

Journal Article

Publication Date


Subject Area

operations - service span, ridership - mode choice, ridership - commuting, ridership - commuting


Working hours, Work trips, Work days, Washington (State), Trip reduction programs, Trip length, Travel distance, Transportation policy, Transportation modes, State of Washington, Staggered work hours, Schedules, Multinomial logits, Modes, Mode choice, Modal choice, Mathematical models, Journey to work, Hours of service (Work hours), Hours of labor, Employment, Compressed work week, Commuting, Commuters, Choices, Choice of transportation


This paper analyzes the trend and determinants of the compressed workweek (CWW) by using Washington State commute trip reduction (CTR) data. A multinomial logit model was applied to analyze the determinants of CWW choices by using the CTR data from 2005. Regression results indicate that the employer’s transportation demand management promotion level and the number of years CWW programs have been in effect have significant impacts on commuters’ decisions about CWW choices. Commuters are more likely to participate in CWW programs when employers are more supportive or the CWW program has been implemented longer. The distance from home to work is another key factor that influences commuters’ CWW choices. The longer the distance from home to work, the higher the probability that a person will choose alternative work schedules. Employees’ journey-to-work mode choices affect their choices of working on CWW schedules. Commuters using a single mode of transit and a shared ride are less likely to work on CWW schedules than those who simply drive alone to work, and commuters using mixed modes are more likely to work on a CWW schedule than those who drive alone. Employees’ decisions to participate in CWW programs are also affected by their job titles and their employer’s major business type.