Understanding activity engagement across weekdays and weekend days: A multivariate multiple discrete-continuous modeling approach
- The Univ. of Texas at Austin, Austin, TX (United States); Univ. de Concepcion, Concepcion (Chile)
- Yale Univ., New Haven, CT (United States)
- The Univ. of Texas at Austin, Austin, TX (United States); The Hong Kong Polytechnic Univ., Kowloon (Hong Kong)
- Arizona State Univ., Tempe, AZ (United States)
- National Renewable Energy Lab. (NREL), Golden, CO (United States)
This paper is motivated by the increasing recognition that modeling activity-travel demand for a single day of the week, as is done in virtually all travel forecasting models, may be inadequate in capturing underlying processes that govern activity-travel scheduling behavior. The considerable variability in daily travel suggests that there are important complementary relationships and competing tradeoffs involved in scheduling and allocating time to various activities across days of the week. Both limited survey data availability and methodological challenges in modeling week-long activity-travel schedules have precluded the development of multi-day activity-travel demand models. With passive and technology-based data collection methods increasingly in vogue, the collection of multi-day travel data may become increasingly commonplace in the years ahead. This paper addresses the methodological challenge associated with modeling multi-day activity-travel demand by formulating a multivariate multiple discrete-continuous probit (MDCP) model system. The comprehensive framework ties together two MDCP model components, one corresponding to weekday time allocation and the other to weekend activity-time allocation. By tying the two MDCP components together, the model system also captures relationships in activity-time allocation between weekdays on the one hand and weekend days on the other. Model estimation on a week-long travel diary data set from the United Kingdom shows that there are significant inter-relationships between weekdays and weekend days in activity-travel scheduling behavior. In conclusion, the model system presented in this paper may serve as a higher-level multi-day activity scheduler in conjunction with existing daily activity-based travel models.
- Research Organization:
- National Renewable Energy Lab. (NREL), Golden, CO (United States)
- Sponsoring Organization:
- U.S. Department of Transportation (DOT); USDOE
- Grant/Contract Number:
- AC36-08GO28308
- OSTI ID:
- 1457662
- Report Number(s):
- NREL/JA-5400-71824
- Journal Information:
- Journal of Choice Modelling, Vol. 28, Issue C; ISSN 1755-5345
- Publisher:
- ElsevierCopyright Statement
- Country of Publication:
- United States
- Language:
- English
Similar Records
Differences between Weekday and Weekend Air Pollutant Levels in Atlanta; Baltimore; Chicago; Dallas-Fort Worth; Denver; Houston; New York; Phoenix; Washington, DC; and Surrounding Areas
Evaluation of Waste Heat Recovery and Utilization from Residential Appliances and Fixtures