01019610

Component

https://doi.org/10.3141/1926-27

http://scholar.google.com...Bhat&publication_year=2005

The work-related characteristics of an individual act as pegs around which other nonwork activities are scheduled on a day-to-day basis. In this paper, four dimensions of the medium- to long-range work arrangements that are important to day-to-day temporal and spatial characteristics of work patterns (and hence to day-to-day activity–travel schedules) are identified. The four dimensions are full-time versus part-time employment, teleworking or not, inflexible or flexible work schedules, and regular or alternate shifts. This paper develops a comprehensive taxonomy of work arrangements in each of these four dimensions and empirically analyzes the factors affecting the work arrangement decisions along three of these dimensions.

01019600

English

0000-0002-0715-8121

pp 233-241

2005

Transportation Research Record: Journal of the Transportation Research Board

0309094003

Print

References (44) ; Tables (3)

Classification; Empirical methods; Flexible hours; Part time employees; Shifts; Taxonomy; Telecommuting; Travel behavior

Full time employees

Highways; Planning and Forecasting; I72: Traffic and Transport Planning

TRIS, TRB, ATRI

Mar 5 2006 11:12PM

• Analysis of Factors Affecting the Frequency and Type of Activity Schedule Modification
• Analysis of Morning Commute Route Choice Patterns Using Global Positioning System–Based Vehicle Activity Data
• Analysis of Variations in Vehicle Ownership Expenditures
• Are Car Users Too Lazy to Walk? The Relationship of Distance Thresholds for Driving to the Perceived Effort of Walking
• Assessing User Benefits with Discrete Choice Models: Implications of Specification Errors Under Random Taste Heterogeneity
• Characterizing Global Activity Schedule Adjustment Behavior by Using a Sequence Alignment Method
• Do Telecommunications Affect Passenger Travel or Vice Versa? Structural Equation Models of Aggregate U.S. Time Series Data Using Composite Indexes
• Empirical Analysis of Factors Affecting the Resolution of Activity-Scheduling Conflicts
• Empirical Investigation of Online Searching and Buying and Their Relationship to Shopping Trips
• Exploratory Analysis of Weekend Activity Patterns in the San Francisco Bay Area, California
• Home-Based Teleshopping and Shopping Travel: Where Do People Find the Time?
• How Far in Advance Are Activities Planned? Measurement Challenges and Analysis
• Integrating Prospect Theory and Stackelberg Games to Model Strategic Dyad Behavior of Information Providers and Travelers: Theory and Numerical Simulations
• Investigating the Effect of User Behavior Factors and Transportation Control Measures on Day-to-Day Network Evolution and Trip Time Reliability
• Joint Modeling of Advanced Travel Information Service, Habit, and Learning Impacts on Route Choice by Laboratory Simulator Experiments
• Latent Activities: Modeling the Relationship Between Travel Times and Activity Participation
• Methodology for Exploratory Analysis of Latent Factors Influencing Drivers’ Behavior
• Mixed Logit Model of Activity-Scheduling Time Horizon Incorporating Spatial–Temporal Flexibility Variables
• Modeling the Impact of Key Events on Long-Term Transport Mode Choice Decisions: Decision Network Approach Using Event History Data
• Modeling the Impact of Travel Information on Activity–Travel Rescheduling Decisions Under Conditions of Travel Time Uncertainty
• Modeling Workers' Daily Nonwork Activity Participation and Duration
• Multiagent Learning-Based Approach to Transit Assignment Problem: A Prototype
• Simulation of Daily Activity Patterns Incorporating Interactions Within Households: Algorithm Overview and Performance
• Spatial Attributes and Patterns of Use in Household-Related Information and Communications Technology Activity
• The Relationship Between Specific (Dis)Utility and the Frequency of Driving a Car
• Traveler Preference for Park-and-Ride Facilities: Empirical Evidence of Generalizability
• Value of Travel Information: Theoretical Framework and Numerical Examples
• Vehicle Miles Traveled in Multivehicle Households