P. Jones and M. Clarke, The significance and measurement of variability in travel behaviour, Transportation, vol.15, issue.1-2, pp.65-87, 1988.
DOI : 10.1007/BF00167981

E. Pas and . Sundar, Intrapersonal variability in daily urban travel behavior: Some additional evidence, Transportation, vol.14, issue.6, pp.135-150, 1995.
DOI : 10.1007/BF01099436

R. Pendyala, Day-to-day variability in travel using Lexington, KY GPS-based data set. Final report, 2000.

E. Pas and F. Koppelman, An examination of the determinants of day-to-day variability in individuals' urban travel behavior, Transportation, vol.3, issue.no. 1, pp.183-200, 1986.
DOI : 10.1007/BF00165547

S. Hanson and J. Huff, Assessing day-to-day variability in complex travel patterns, Transp Res Rec, vol.891, pp.18-24, 1982.

S. Hanson and J. Huff, Classification issues in the analysis of complex travel behaviour, Transp, vol.13, issue.4, pp.273-291, 1986.

S. Hanson and J. Huff, Systematic variability in repetitious travel, Transportation, vol.15, issue.1-2, pp.111-135, 1988.
DOI : 10.1007/BF00167983

J. Huff and S. Hanson, Repetition and Variability in Urban Travel, Geographical Analysis, vol.16, issue.2, pp.97-114, 1986.
DOI : 10.1111/j.1538-4632.1986.tb00085.x

M. Lee and M. Mcnally, On the structure of weekly activity/travel patterns, Transportation Research Part A: Policy and Practice, vol.37, issue.10, pp.823-839, 2003.
DOI : 10.1016/S0965-8564(03)00047-8

R. Schlich, S. Schönfelder, S. Hanson, and K. Axhausen, Structures of Leisure Travel: Temporal and Spatial Variability, Transport Reviews, vol.234, issue.2, pp.219-237, 2004.
DOI : 10.1016/0378-8733(95)00282-0

S. Schönfelder, Urban Rhythms -Modelling the Rhythms of Individual Travel Behavior, 2006.

R. Buliung, M. Roorda, and T. Remmel, Exploring spatial variety in patterns of activity-travel behaviour: initial results from the Toronto Travel-Activity Panel Survey (TTAPS), Transportation, vol.51, issue.6, pp.697-722, 2008.
DOI : 10.1007/s11116-008-9178-4

S. Schönfelder and K. Axhausen, Urban rhythms and travel behaviour: Spatial and temporal phenomena of daily travel, 2010.

T. Neutens, M. Delafontaine, D. Scott, D. Maeyer, and P. , An analysis of day-to-day variations in individual space???time accessibility, Journal of Transport Geography, vol.23, pp.81-91, 2012.
DOI : 10.1016/j.jtrangeo.2012.04.001

K. Axhausen, A. Zimmermann, S. Schönfelder, G. Rindsfüser, and T. Haupt, Observing the rhythms of daily life: a six-week travel diary, Transportation, vol.29, issue.2, pp.95-124, 2002.
DOI : 10.1023/A:1014247822322

R. Schlich and K. Axhausen, Habitual travel behaviour: evidence from a six-week travel diary, Transportation, vol.30, issue.1, pp.13-36, 2003.
DOI : 10.1023/A:1021230507071

D. Ettema and T. Van-der-lippe, Weekly rhythms in task and time allocation of households, Transportation, vol.1807, issue.2, pp.113-129, 2009.
DOI : 10.1007/s11116-009-9190-3

C. Raux, T. Ma, I. Joly, V. Kaufmann, E. Cornelis et al., Travel and activity time allocation: An empirical comparison between eight cities in Europe, Transport Policy, vol.18, issue.2, pp.401-412, 2011.
DOI : 10.1016/j.tranpol.2010.11.004

URL : https://hal.archives-ouvertes.fr/halshs-00578085

H. Kang and D. Scott, Exploring day-to-day variability in time use for household members, Transportation Research Part A: Policy and Practice, vol.44, issue.8, pp.609-619, 2010.
DOI : 10.1016/j.tra.2010.04.002

M. Roorda and E. Miller, Toronto activity panel survey?demonstrating the benefits of a multiple instrument panel survey. Paper presented at the 7th international conference on travel methods, 2004.

P. Stopher and Y. Zhang, Repetitiveness of Daily Travel, Transportation Research Record: Journal of the Transportation Research Board, vol.2230, pp.75-84, 2011.
DOI : 10.3141/2230-09

W. Wilson, Activity pattern analysis by means of sequence-alignment methods, Environment and Planning A, vol.30, issue.6, pp.1017-1038, 1998.
DOI : 10.1068/a301017

C. Joh, T. Arentze, and H. Timmermans, A Position-Sensitive Sequence-Alignment Method Illustrated for Space???Time Activity-Diary Data, Environment and Planning A, vol.30, issue.22, pp.313-338, 2001.
DOI : 10.1068/a3323

C. Joh, T. Arentze, F. Hofman, and H. Timmermans, Activity pattern similarity: a multidimensional sequence alignment method, Transportation Research Part B: Methodological, vol.36, issue.5, pp.385-403, 2002.
DOI : 10.1016/S0191-2615(01)00009-1

E. Pas, Intrapersonal variability and model goodness-of-fit, Transportation Research Part A: General, vol.21, issue.6, pp.431-438, 1987.
DOI : 10.1016/0191-2607(87)90032-X

R. Schlich and K. Axhausen, Analysing interpersonal variability for homogeneous groups of travellers, 2004.

C. Wilson, Activity patterns in space and time: calculating representative Hagerstrand trajectories, Transportation, vol.37, issue.4, pp.485-499, 2008.
DOI : 10.1007/s11116-008-9162-z

H. Shimamoto, J. Zhang, and A. Fujiwara, An effective algorithm to detect the similarities of activity-travel patterns, Proceedings of the 12th International Conference of the International Association for Travel Behaviour Research (IATBR, 2009.

M. Castaigne, E. Cornelis, F. Walle, R. Frederix, C. Tampere et al., Behaviour and mobility within the week BBMW^, Final Report, Brussels: Belgian Science Policy, 2009.

C. Bhat and S. Srinivasan, A multidimensional mixed ordered-response model for analyzing weekend activity participation, Transportation Research Part B: Methodological, vol.39, issue.3, pp.255-278, 2005.
DOI : 10.1016/j.trb.2004.04.002