Examining the effects of out-of-home and in-home constraints on leisure activity participation in different seasons of the year

Nursitihazlin Ahmad Termida (), Yusak O. Susilo () and Joel P. Franklin ()
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Nursitihazlin Ahmad Termida: KTH Royal Institute of Technology
Yusak O. Susilo: KTH Royal Institute of Technology
Joel P. Franklin: KTH Royal Institute of Technology

Transportation, 2016, vol. 43, issue 6, No 4, 997-1021

Abstract: Abstract Using multi-day, multi-period travel diaries data of 56 days (four waves of two-week diaries) for 67 individuals in Stockholm, this study aims to examine the effects of out-of-home and in-home constraints (e.g. teleworking, studying at home, doing the laundry, cleaning and taking care of other household member[s]) on individuals’ day-to-day leisure activity participation decisions in four different seasons. This study also aims to explore the effects of various types of working schedules (fixed, shift, partial- and full-flexible) on individuals’ decisions to participate in day-to-day leisure activities. A pooled model (56 days) and wave-specific models (14 days in each wave) are estimated by using dynamic ordered Probit models. The effects of various types of working schedules are estimated by using 28 days of two waves’ data. The results show that an individual’s leisure activity participation decision is significantly influenced by out-of-home work durations but not influenced by in-home constraints, regardless of any seasons. Individuals with shift working hours engage less in day-to-day leisure activities than other workers’ types in both spring and summer seasons. The thermal indicator significantly affects individuals’ leisure activity participation decisions during the autumn season. Individuals exhibit routine behaviour characterized by repeated decisions in participating in day-to-day leisure activities that can last up to 14 days, regardless of any seasons.

Keywords: Panel data; Leisure activity participation; Space–time constraints; Seasons; Dynamic ordered Probit model; Stockholm (search for similar items in EconPapers)
Date: 2016
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DOI: 10.1007/s11116-016-9717-3

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