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The Day to Day Variability of Traveller's Activity Travel Pattern in The Jakarta Metropolitan Area
KTH, School of Architecture and the Built Environment (ABE), Transport Science, Transport and Location Analysis. KTH, School of Architecture and the Built Environment (ABE), Centres, Centre for Transport Studies, CTS.
KTH, School of Architecture and the Built Environment (ABE), Transport Science, Transport and Location Analysis. KTH, School of Architecture and the Built Environment (ABE), Centres, Centre for Transport Studies, CTS.ORCID iD: 0000-0001-7124-7164
KTH, School of Architecture and the Built Environment (ABE), Transport Science, Transport and Location Analysis. KTH, School of Architecture and the Built Environment (ABE), Centres, Centre for Transport Studies, CTS.ORCID iD: 0000-0001-5290-6101
2012 (English)In: TRB 93rd Annual Meeting Compendium of Papers, TRB , 2012, , 24 p.Conference paper, Published paper (Refereed)
Abstract [en]

Using four consecutive days of SITRAMP Data (2004) from the Jakarta Metropolitan Area (JMA), this study examines the interactions between individuals’ activity-travel pattern variables in the context of their daily constraints, resources and external opportunities. The results from our simultaneous equation modeling show that the observed individual’s activity-travel patterns are the result of the complex interactions between each individual’s activity-travel parameters, which vary from day to day. Some of the interactions are similar with the patterns produced by travelers from developed countries, while others are different. Household and individual characteristics are the most significant variables influencing the interactions among individual activity-travel patterns. Different groups of travelers have different trade-off mechanisms. Further analyses on the stability of the activity-travel patterns across different days are provided. Daily commuting time and regular work commitments heavily shape workers’ and students’ flexibility in arranging their travel time and out-of-home time budget, leading them to more stable daily activity-travel patterns than non-workers. The model also shows that highly unpredictable traffic significantly influences workers’ and students’ intra-personal variability in travel time, more so than any other variable.

Place, publisher, year, edition, pages
TRB , 2012. , 24 p.
National Category
Transport Systems and Logistics
Identifiers
URN: urn:nbn:se:kth:diva-115964OAI: oai:DiVA.org:kth-115964DiVA: diva2:588545
Conference
Transportation Research Board 93rd Annual Meeting Washington DC, 2014
Funder
TrenOp, Transport Research Environment with Novel Perspectives
Note

TSC import 2086 2013-01-15. QC 20150210. QC 20160220

Available from: 2013-01-15 Created: 2013-01-15 Last updated: 2016-02-20Bibliographically approved

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Susilo, YusakKarlström, Anders

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CiteExportLink to record
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