International Choice Modelling Conference, International Choice Modelling Conference 2017

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Panel data for modelling dynamics in duration of outdoor leisure activities
Lissy La Paix, Md Saidul Azam Chowdhury, Karst T. Geurs

Last modified: 28 March 2017

Abstract


he relevance and complexity of leisure activities is underrepresented in the existing travel behaviour models. Those activities can be as important as commuting activities for transport demand models, given an inherently assorted spatial and temporal distribution. The present paper aims to analyse the effects of socio-economic characteristics, travel-related variables and life events on outdoor leisure activities. The added value of this paper is to develop and discuss the first leisure activities model with the largest ongoing panel data in the world, by using discrete choice models. A mixed logit model is developed, for 14554 observations based on the data from ‘The Netherlands Mobility Panel’ (in Dutch: MobiliteitsPanel Nederland – MPN). Activity duration is divided in 2 categories: short duration (< 100 minutes) and long duration (>100 minutest). Both standard mixed and a ‘zero-leisure’ scaled models are developed to cover the heterogeneity among different groups of respondents and within respondent observations. The model was estimated for weekends and weekdays separately, mode choice of the activity, and specific activity purposes.

The results show that travel time and mode choice have significant implications on activity duration. Car and bike are likely options for short duration activities, which can be associated with distance to destinations, and availability of other transport modes (e.g. public transport schedules). If the travel time – to the activity – is longer, people tend to spend more time on it. The probability of short duration leisure activities is higher during workdays. Certain life events (e.g. change in job schedule) positively affect the duration of specific leisure activities (e.g. tours and walking, other leisure activities), whereas neighbourhood accessibility and bike ownership have no effect on leisure time. The scaled model shows that the utility of any leisure time is 10% larger for those respondents who reported at least one day of zero leisure time. The results also show that leisure activities undertaken during the same week are correlated. Finally, the paper highlights the importance of analysing duration of activities for different leisure-activity types, and days of the week (weekends and weekdays).

 


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