Abstract
This article develops a model to study individuals’ activity choice and time allocation in the physical and virtual spaces. Based on the recent advancement in modeling multiple discrete-continuous choices, this article develops a so-called two-level nested multiple discrete-continuous model. The model and its estimation algorithm are tested by a case study in Hong Kong in which the activity diaries of 330 respondents in the physical and virtual spaces within 24 h were collected. The model can be used to investigate the bi-directional interactions between activities and time use in physical and virtual spaces and their implications for physical travel. It may also be applied to analyse the impacts of social, economical and spatial factors on participation in and time allocation to virtual and physical activities. The model may also be applied to study transportation, marketing and tourism problems involving two-level multiple discrete-continuous choices.
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