Understanding activity engagement across weekdays and weekend days

A multivariate multiple discrete-continuous modeling approach

Sebastian Astroza, Prerna C. Bhat, Chandra R. Bhat, Ram Pendyala, Venu M. Garikapati

Research output: Contribution to journalArticle

3 Citations (Scopus)

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.

Original languageEnglish (US)
Pages (from-to)56-70
Number of pages15
JournalJournal of Choice Modelling
Volume28
DOIs
StatePublished - Sep 1 2018

Fingerprint

Modeling
Scheduling
Probit Model
Engagement
Model
Probit
Survey Data
Tie
Scheduler
Availability
Forecasting
Schedule
Trade-offs
Relationships
Demand
Travel demand
Time allocation
Probit model
System model

Keywords

  • Activity-travel demand
  • Modeling weekly activity schedules
  • Multiple discrete-continuous probit model
  • Time allocation
  • Weekday and weekend travel

ASJC Scopus subject areas

  • Modeling and Simulation
  • Statistics, Probability and Uncertainty

Cite this

Understanding activity engagement across weekdays and weekend days : A multivariate multiple discrete-continuous modeling approach. / Astroza, Sebastian; Bhat, Prerna C.; Bhat, Chandra R.; Pendyala, Ram; Garikapati, Venu M.

In: Journal of Choice Modelling, Vol. 28, 01.09.2018, p. 56-70.

Research output: Contribution to journalArticle

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