Understanding activity engagement across weekdays and weekend days: A multivariate multiple discrete-continuous modeling approach. (September 2018)

• Record Type: Journal Article
• Authors: Astroza, Sebastian; Bhat, Prerna C.; Bhat, Chandra R.; Pendyala, Ram M.; Garikapati, Venu M.
• Is Part Of: Journal of choice modelling. Volume 28(2018)
• Page Start: 56
• Page End: 70
• Publication Date: 2018-09
• Subjects: Activity-travel demand -- Modeling weekly activity schedules -- Time allocation -- Multiple discrete-continuous probit model -- Weekday and weekend travel; Decision making -- Periodicals; Social choice -- Periodicals; Decision making; Social choice; Periodicals; 302.13
• DOI: 10.1016/j.jocm.2018.05.004
• Languages: English
• ISSNs: 1755-5345

Abstract

Abstract: 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. 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. Highlights: Multivariate multiple discrete-continuous probit model is proposed. Model system is used to understand multi-day activity-travel demand. Trade-offs and complementary effects in weekdays/weekend time allocation are found. Significant error correlations confirms the need for a joint modeling framework.