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Examining the effects of out-of-home and in-home constraints on leisure activity participation in different seasons of the year
KTH, School of Architecture and the Built Environment (ABE), Transport Science.
KTH, School of Architecture and the Built Environment (ABE), Transport Science.ORCID iD: 0000-0001-7124-7164
KTH, School of Architecture and the Built Environment (ABE), Transport Science.ORCID iD: 0000-0003-1360-4906
2016 (English)In: Transportation, ISSN 0049-4488, E-ISSN 1572-9435, 1-25 p.Article in journal (Refereed) Published
Abstract [en]

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.

Place, publisher, year, edition, pages
Springer-Verlag New York, 2016. 1-25 p.
Keyword [en]
Dynamic ordered Probit model, Leisure activity participation, Panel data, Seasons, Space-time constraints, Stockholm, Transportation, Leisure activities, Ordered probit model, Time constraints, Civil engineering
National Category
Transport Systems and Logistics Economics Environmental Health and Occupational Health
Identifiers
URN: urn:nbn:se:kth:diva-195970DOI: 10.1007/s11116-016-9717-3ISI: 000389833900004Scopus ID: 2-s2.0-84975478169OAI: oai:DiVA.org:kth-195970DiVA: diva2:1045941
Note

QC 20161111

Available from: 2016-11-11 Created: 2016-11-10 Last updated: 2017-03-23Bibliographically approved
In thesis
1. Understanding Individuals' Learning and Decision Processes in a Changing Environment by Using Panel Data
Open this publication in new window or tab >>Understanding Individuals' Learning and Decision Processes in a Changing Environment by Using Panel Data
2017 (English)Doctoral thesis, comprehensive summary (Other academic)
Abstract [en]

When a new transport service is introduced, people have to learn and familiarize themselves with the new service before they decide to adopt it. These processes are developed over time, thus produce dynamics in individuals’ behavioural responses towards the service. This affects the demand of the new service, thus affect revenues. Available studies have examined the factors influencing these responses from microeconomic perspectives. The influence of the theory-based subjective factors has not been examined empirically. Understanding these would assist transport and urban planners to design a better marketing strategy to increase the market share of the new service. A change in seasons affect individuals’ activity-travel decisions, thus produce dynamics in activitytravel patterns in different seasons. Individuals’ constraints, in a form of mandatory activities (working/studying), are influencing individuals’ decisions to participate in day-to-day nonmandatory activities (leisure and routine activities). The interdependency between travel demand, time allocation and mode choice that considers interactions between mandatory and non-mandatory activities, in different seasons is less explored. Understanding these would assist transport planners and operators to manage travel demand strategies across different seasons of the year and provide better transportation systems for all individuals. This thesis includes five papers. Paper I explores individuals’ characteristics of the quick-response and the adopters of the new public transport (PT) service and examines the temporal effects. Paper II investigates the subjective factors influencing a quick-response to the new PT service by proposing a modified attitude-behaviour framework. Paper III and IV analyse the effects of seasonal variations and individuals’ constraints on their day-to-day activity-travel decisions and patterns. Paper V analyses the attrition and fatigue in the two-week travel diary panel survey instrument.

Place, publisher, year, edition, pages
Stockholm, Sweden: KTH Royal Institute of Technology, 2017. 26 p.
Series
TRITA-TSC-PHD, 17-001
Keyword
Behavioural responses, seasons, panel data, travel diary, activity-travel pattern, theory of planned behaviour, space-time constraint, changing environment, tram, Stockholm
National Category
Transport Systems and Logistics Social Sciences Interdisciplinary Economics Applied Psychology Social Psychology
Research subject
Transport Science
Identifiers
urn:nbn:se:kth:diva-203985 (URN)978-91-87353-97-0 (ISBN)
Public defence
2017-04-18, F3, Lindstedtsvägen 26, KTH, Stockholm, 14:00 (English)
Opponent
Supervisors
Note

QC 20170323

Available from: 2017-03-23 Created: 2017-03-23 Last updated: 2017-03-27Bibliographically approved

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