TY - JOUR
T1 - Understanding activity engagement across weekdays and weekend days
T2 - A multivariate multiple discrete-continuous modeling approach
AU - Astroza, Sebastian
AU - Bhat, Prerna C.
AU - Bhat, Chandra R.
AU - Pendyala, Ram
AU - Garikapati, Venu M.
N1 - Funding Information:
The authors gratefully acknowledge the comments provided by four anonymous reviewers that helped improve the paper. This research was partially supported by the Center for Teaching Old Models New Tricks (TOMNET) (Grant No. 69A3551747116) as well as the Data-Supported Transportation Operations and Planning (D-STOP) Center (Grant No. DTRT13GUTC58), both of which are Tier 1 University Transportation Centers sponsored by the US Department of Transportation. The authors are grateful to Lisa Macias for her help in formatting this document.
Funding Information:
The authors gratefully acknowledge the comments provided by four anonymous reviewers that helped improve the paper. This research was partially supported by the Center for Teaching Old Models New Tricks (TOMNET) (Grant No. 69A3551747116 ) as well as the Data-Supported Transportation Operations and Planning (D-STOP) Center (Grant No. DTRT13GUTC58 ), both of which are Tier 1 University Transportation Centers sponsored by the US Department of Transportation . The authors are grateful to Lisa Macias for her help in formatting this document.
Publisher Copyright:
© 2018 Elsevier Ltd
PY - 2018/9
Y1 - 2018/9
N2 - 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.
AB - 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.
KW - Activity-travel demand
KW - Modeling weekly activity schedules
KW - Multiple discrete-continuous probit model
KW - Time allocation
KW - Weekday and weekend travel
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U2 - 10.1016/j.jocm.2018.05.004
DO - 10.1016/j.jocm.2018.05.004
M3 - Article
AN - SCOPUS:85048145663
SN - 1755-5345
VL - 28
SP - 56
EP - 70
JO - Journal of Choice Modelling
JF - Journal of Choice Modelling
ER -