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Jointly modelling individual’s daily activity-travel time use and mode share by a nested multivariate Tobit model system

Liu, Chengxi (author)
Statens väg- och transportforskningsinstitut,Trafikanalys och logistik, TAL
Susilo, Yusak O. (author)
KTH,Systemanalys och ekonomi
Karlström, Anders (author)
KTH,Systemanalys och ekonomi
 (creator_code:org_t)
2017-03-13
2017
English.
In: Transportmetrica A. - : Taylor and Francis Ltd.. - 2324-9935 .- 2324-9943. ; , s. 1-28
  • Journal article (peer-reviewed)
Abstract Subject headings
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  • 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.

Subject headings

TEKNIK OCH TEKNOLOGIER  -- Samhällsbyggnadsteknik -- Transportteknik och logistik (hsv//swe)
ENGINEERING AND TECHNOLOGY  -- Civil Engineering -- Transport Systems and Logistics (hsv//eng)

Keyword

Mathematical model
Journey time
Behaviour
Travel survey
11 Road: Personal transport
11 Road: Personal transport

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