A latent class accelerated hazard model of social activity duration
Over the past decade, activity scheduling processes have gained increasing attention in the field of transportation research. However, still little is known about the scheduling of social activities even though these activities account for a large and growing portion of trips. This paper contributes to this knowledge. We analyze how the duration of social activities is influenced by social activity characteristics and characteristics of the relationship between the respondent and the contacted person(s). To that end, a latent class accelerated hazard model is estimated, based on social interaction diary data that was collected in the Netherlands in 2008. Chi-square tests and analyses of variance are used to test for significant relations between the latent classes and personal and household characteristics. Findings suggest that the social activity characteristics and the characteristics of the relationship between the socializing persons are highly significant in explaining social activity duration. This shows that social activities should not be considered as a homogenous set of activities and it underlines the importance of including the social context in travel-behavior models. Moreover, the results indicate that there is a substantial amount of latent heterogeneity across the population. Four latent classes are identified, showing different social activity durations, and different effects for both categories of explanatory variables. Latent class membership can be explained by household composition, socio-economic status (education, income and work hours), car ownership and the number of interactions in 2 days.
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Availability:
- Find a library where document is available. Order URL: http://worldcat.org/issn/09658564
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Supplemental Notes:
- Abstract reprinted with permission from Elsevier.
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Authors:
- van den Berg, Pauline
- Arentze, Theo
- Timmermans, Harry
- Publication Date: 2012-1
Language
- English
Media Info
- Media Type: Print
- Features: References; Tables;
- Pagination: pp 12-21
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Serial:
- Transportation Research Part A: Policy and Practice
- Volume: 46
- Issue Number: 1
- Publisher: Elsevier
- ISSN: 0965-8564
- Serial URL: http://www.sciencedirect.com/science/journal/09658564
Subject/Index Terms
- TRT Terms: Activity choices; Chi square test; Heterogeneity; Human characteristics; Mathematical models; Social factors; Socioeconomic factors; Time duration; Travel; Travel behavior; Trip purpose
- Candidate Terms: Social networking
- Uncontrolled Terms: Activity duration; Activity scheduling; Duration modeling; Latent variables; Social activity
- Geographic Terms: Netherlands
- Subject Areas: Planning and Forecasting; Public Transportation; I72: Traffic and Transport Planning;
Filing Info
- Accession Number: 01359105
- Record Type: Publication
- Files: TRIS
- Created Date: Dec 16 2011 2:48PM