Analysis of variability in activity-travel patterns based on multi-day GPS-imputed travel diaries

J. C. Xianyu, S. Rasouli, Harry J.P. Timmermans

Onderzoeksoutput: Hoofdstuk in Boek/Rapport/CongresprocedureConferentiebijdrageAcademicpeer review

Samenvatting

This paper addresses the issue of day-to-day variability in activity-travel behavior. First, multidimensional sequence alignment is applied to measure the degree of dissimilarity in individual daily activity-travel sequences between pairs of travel days. Next, a panel effects regression model is used to estimate the effects of socio-demographics and days of the week on the degree of dissimilarity in dayto-day activity-travel sequences. The data on activity-travel patterns were collected using GPS-enabled smartphones and a prompted recall survey instrument. Results show that days of the week have significant effects on the variability in day-to-day activity-travel behavior; the degree of dissimilarity in activity-travel sequences is strongly influenced by respondent socio-demographic profiles; individuals having more control over and more flexibility in their work schedule also show greater intrapersonal variability. The paper ends with a discussion of the limitations of this study and the implications of the research findings for future research.

Originele taal-2Engels
TitelProceedings of the 19th International Conference of Hong Kong Society for Transportation Studies, HKSTS 2014 - Transportation and Infrastructure
RedacteurenZ. Leng, Y. H. Wang
UitgeverijHong Kong Society for Transportation Studies
Pagina's341-348
Aantal pagina's8
ISBN van elektronische versie9789881581433
StatusGepubliceerd - 1 jan 2014
Evenement19th International Conference of Hong Kong Society for Transportation Studies (HKSTS 2014) - Hong Kong, China
Duur: 13 dec 201415 dec 2014

Congres

Congres19th International Conference of Hong Kong Society for Transportation Studies (HKSTS 2014)
Verkorte titelHKSTS2014
Land/RegioChina
StadHong Kong
Periode13/12/1415/12/14

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