Highlights This paper proposes a copula-based, joint model for activity type choice, duration and productivity in the context of travel time use.The model draws on a recently developed PPS microeconomic framework incorporating in-travel activities in travel behaviour decisions.The framework provides an intuitive interpretation (semi-elasticities) for the parameters associated with duration and activity components.The model is estimated using data from 2008 UK Study of Productive Use of Rail Travel-time.The model can be readily employed for any transport mode, and to any number of activity types, spells, or performance indicators (productivity, enjoyment).
Abstract Recent developments in mobile information and communication technologies (ICT), vehicle automation, and the associated debates on the implications for the operation of transport systems and for the appraisal of investment has heightened the importance of understanding how people spend travel time and how productive they are while travelling. To date, however, no approach has been proposed that incorporates the joint modelling of in-travel activity type, activity duration and productivity behaviour. To address this critical gap, we draw on a recently developed PPS framework (Pawlak et al., 2015) to develop a new joint model of activity type choice, duration and productivity. In our framework, we use copulas to provide a flexible link between a discrete choice model of activity type choice, a hazard-based model for activity duration, and a log-linear model of productivity. Our model is readily amenable to estimation, which we demonstrate using data from the 2008 UK Study of Productive Use of Rail Travel-time. We hence show how journey-, respondent-, attitude-, and ICT-related factors are related to expected in-travel time allocation to work and non-work activities, and the associated productivity. To the best of our knowledge, this is the first framework that both captures the effects of different factors on activity choice, duration and productivity, and models links between these aspects of behaviour. Furthermore, the convenient interpretation of the parameters in the form of semi-elasticities enables the comparison of effects associated with the presence of on-board facilities (e.g., workspace, connectivity) or equipment use, facilitating use of the model outputs in applied contexts.
A framework for joint modelling of activity choice, duration, and productivity while travelling
Transportation Research Part B: Methodological ; 106 ; 153-172
2017-10-23
20 pages
Aufsatz (Zeitschrift)
Elektronische Ressource
Englisch
Copula , ICT , Productivity , Rail , Travel time use , Value of travel time
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