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Understanding Seasonal Variation in Individual's Activity Participation and Trip Generation by Using Four Consecutive Two-Week Travel Diary
KTH, School of Architecture and the Built Environment (ABE), Transport Science, System Analysis and Economics. Universiti Tun Hussein Onn Malaysia, Faculty of Civil and Environmental Engineering, Department of Infrastructure and Geomatic Engineering.ORCID iD: 0000-0001-5961-5008
KTH, School of Architecture and the Built Environment (ABE), Transport Science, System Analysis and Economics.
KTH, School of Architecture and the Built Environment (ABE), Transport Science, System Analysis and Economics.
KTH, School of Architecture and the Built Environment (ABE), Transport Science, System Analysis and Economics. VTI.
(English)Manuscript (preprint) (Other academic)
Abstract [en]

This paper explores the interactions between travel demand, time allocation and mode choice in different seasons by jointly modeling the work and/or study, routine and leisure activity-travel engagements of 67 individuals in Stockholm, Sweden. A longitudinal panel two-week travel diary data collected in four consecutive waves over a span of seven months period that covers all four different seasons; autumn, winter, spring and summer, were analysed by using simultaneous Tobit models. The model was applied to explore the interactions among each activity-travel indicator, and individuals’ unique characteristics and endogeneity in activity-travel engagements between different seasons were also considered in the model system. The results of models reveal clear trade-offs between mandatory activities (work and/or study) and non-mandatory activities (routine and leisure), regardless of any seasons, although the magnitudes vary between seasons. There is also a positive mutual endogeneity relationship between number of trips and activity duration within the same activity type. The trade-offs between work and/or study trips towards routine and leisure trips are larger in winter and spring respectively, than in other seasons. It is also found that mode effects on travel time for conducting mandatory activity are much larger in spring than in other seasons. However, the effects of public transport and slow modes on travel time for leisure activities are much larger in summer than in other seasons.

Keyword [en]
Four-wave panel data, activity-travel pattern, seasonal variation, simultaneous Tobit model, Stockholm, Sweden
National Category
Transport Systems and Logistics Economics Social Sciences Interdisciplinary
Research subject
Transport Science; Planning and Decision Analysis; Civil and Architectural Engineering
Identifiers
URN: urn:nbn:se:kth:diva-203979OAI: oai:DiVA.org:kth-203979DiVA: diva2:1083581
Note

QC 20170323

Available from: 2017-03-21 Created: 2017-03-21 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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