Jointly modelling individual's daily activity-travel time use and mode share by a nested multivariate Tobit model system. Issue 6 (3rd July 2017)

• Record Type: Journal Article
• Authors: Liu, Chengxi; Susilo, Yusak O.; Karlström, Anders
• Is Part Of: Transportmetrica. Volume 13:Issue 6(2017)
• Page Start: 491
• Page End: 518
• Publication Date: 2017-07-03
• Subjects: Multiple discrete-continuous model -- sample selection model -- activity-travel time allocation; Transportation -- Periodicals; Transportation -- Research -- Periodicals; 388.072
• DOI: 10.1080/23249935.2017.1298682
• Languages: English
• ISSNs: 2324-9935

Abstract

ABSTRACT: In this study, a nested multivariate Tobit model is proposed to model activity and travel time use jointly. This proposed model can handle: (1) The corner solution problem; (2) time allocation trade-offs among different types of activities; and (3) travel being treated as a derived demand of activity participation. The model is applied to the Swedish national travel survey (NTS). Evidence of the potential positive utility of travel time added on non-work activity time allocation in the Swedish case is also found. The proposed model is compared to an MDCEV model specification. The results show clear differences in marginal effect estimates. In terms of prediction, the nested multivariate Tobit model shows a slightly worse performance on the hit rate measure than the MDCEV model combined with a stochastic frontier model, but shows a slightly better performance on the SMAPE measure.