Stability in individual daily activity-travel-location patterns

Using Herfindahl-Hirschman Index and the Mobidrive and Thurgau six-week travel diary datasets this paper examines the stability of individuals’ choices of their daily activity-travel-location combinations within multi-day period. The results show that the stability of individual activity-travel-mode-location combinations is highly influenced by the individuals’ out-of-home commitments, the intra-household conditions and the availability and the accessibility of the activity locations. Different type of activity gives different pattern of stability. The stability of individual’s daily activity-travel pattern is less correlated to the travel mode choice, but more to the individuals’ commitments and obligations. The stability of mode choices is more related to the conditions or the accessibilities of the location of the activity, but not directly to the activity itself.

[1]  S. Hanson,et al.  Systematic variability in repetitious travel , 1988 .

[2]  Frank S. Koppelman,et al.  An examination of the determinants of day-to-day variability in individuals' urban travel behavior , 1986 .

[3]  L. Preston,et al.  Price-Cost Margins and Industry Structure , 1969 .

[4]  Susan Hanson,et al.  ASSESSING DAY-TO-DAY VARIABILITY IN COMPLEX TRAVEL PATTERNS , 1982 .

[5]  R. Kitamura.  An Analysis of Weekly Activity Patterns and Travel Expenditure , 1998 .

[6]  Kay W. Axhausen,et al.  How routine is a routine?: An analysis of the day-to-day variability in prism vertex location , 2005 .

[7]  R. Schlich,et al.  Homogenous groups of travellers , 2003 .

[8]  Stefan Schönfelder,et al.  Analysing Swiss longitudinal travel data , 2005 .

[9]  E. I. Pas,et al.  Intrapersonal variability in daily urban travel behavior: Some additional evidence , 1995 .

[10]  Peter Nijkamp,et al.  Measuring competition in civil aviation , 2002 .

[11]  B. Lenntorp.  Paths in space-time environments : a time-geographic study of movement possibilities of individuals , 1976 .

[12]  Yusak O. Susilo,et al.  On an analysis of the day-to-day variability in the individual's action space : an exploration of the six-week Mobidrive travel diary data , 2005 .

[13]  Eric I. Pas,et al.  INTRAPERSONAL VARIABILITY AND MODEL GOODNESS-OF-FIT , 1987 .

[14]  Kay W. Axhausen,et al.  How Firm Are You? A Study of the Stability of Individual Activity-Travel-Location Patterns Using the Herfindahl-Hirschman Index , 2007 .

[15]  K. Axhausen,et al.  Habitual travel behaviour: Evidence from a six-week travel diary , 2003 .

[16]  F. E. Horton,et al.  Effects of Urban Spatial Structure on Individual Behavior , 1971 .

[17]  K. Axhausen,et al.  Mobidrive - Längsschnitterhebungen zum individuellen Verkehrsverhalten: Perspektiven für raum-zeitliche Analysen , 2001 .

[18]  Torsten Hägerstraand.  WHAT ABOUT PEOPLE IN REGIONAL SCIENCE , 1970 .

[19]  R. Schlich.  Verhaltenshomogene Gruppen in Längsschnitterhebungen , 2004 .

[20]  J. O. Huff,et al.  Classification issues in the analysis of complex travel behavior , 1986 .

[21]  Ta Theo Arentze,et al.  Pattern Recognition in Complex Activity Travel Patterns: Comparison of Euclidean Distance, Signal-Processing Theoretical, and Multidimensional Sequence Alignment Methods , 2001 .

[22]  K. Axhausen,et al.  Observing the rhythms of daily life , 2000 .

[23]  Ta Theo Arentze,et al.  A Position-Sensitive Sequence-Alignment Method Illustrated for Space–Time Activity-Diary Data , 2001 .

[24]  Kay W. Axhausen,et al.  Fatigue in long-duration travel diaries , 2007 .