Skip to main content
Log in

Should we abandon activity type analysis? Redefining activities by their salient attributes

  • Original Paper
  • Published:
Transportation Aims and scope Submit manuscript

Abstract

This paper poses a challenge and begins a search. The challenge is to reconsider the usefulness of traditional activity types (“work”, “shopping”, etc.) in the understanding and modelling of travel behaviour. The search is for the more salient attributes of activities that may serve to better explain complex travel behaviours—such as activity scheduling and tour formation. In particular, this paper focuses on explicit measures of the spatial, temporal and interpersonal flexibility of activities, along with several traditional attributes (frequency, duration, involved persons, travel time, and location). Data from a recent in-depth week-long activity scheduling survey was used to define and compare these attributes. Results show that considerable variability in the attributes between and within traditional activity groups is evident. This casts considerable uncertainty on assumptions that statically assign levels of spatial, temporal, and interpersonal flexibility to any given activity type. A Principal Components Analysis further revealed eight new distinct clusters of activities that share like attributes. The relative role of each attribute in each component is examined, and subjective interpretations emerged (e.g., “Long and frequent”, “Space and time flexible” “Social networking”). The implications of these results for future model development and research are discussed. Future research should continue to expand the search for salient attributes and link them more directly to decision processes.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Similar content being viewed by others

References

  • Arentze, T.A., Timmermans, H.J.P.: ALBATROSS: A Learning Based Transportation Oriented Simulation System. The European Institute of Retailing and Services Studies. Eindhoven, The Netherlands (2000)

    Google Scholar 

  • Bowman, J.L., Ben-Akiva, M.E.: Activity-based disaggregate travel demand model system with activity schedules. Trans. Res. A 35(1), 1–28 (2001)

    Article  Google Scholar 

  • Brandth, B. and Kvande, E.: Flexible work and flexible fathers. Work Employ. Soc. 15(2), 251–267 (2001)

    Article  Google Scholar 

  • Breedveld, K.: The double myth of flexibilization: trends in scattered work hours, and difference in time-sovereignty. Time Soc. 7(1), 129–143 (1998)

    Google Scholar 

  • Cullen, I. and Godson, V.: Urban networks: the structure of activity patterns. Prog. Plann. 4(1), 1–96 (1975)

    Article  Google Scholar 

  • Doherty, S.T.: Rules for assessing activity scheduling survey respondents’ data quality. J. Trans. Res. Board 1870, 109–115 (2004)

    Google Scholar 

  • Doherty S.T.: How far in advance are activities planned? Measurement challenges and analysis. Journal of the Transportation Research Board 1926, 41–49 (2005)

  • Doherty, S.T., Miller, E.J.: A computerized household activity scheduling survey. Transportation 27(1), 75–97 (2000)

    Article  Google Scholar 

  • Doherty, S.T., Mohammadian, A.: Application of Artificial Neural Network Models to Activity Scheduling Time Horizon. J. Trans. Res. Board 1854, 43–49 (2003)

    Google Scholar 

  • Doherty, S.T., Nemeth, E., Roorda, M., Miller, E.J.: Design and assessment of the toronto area computerized household activity scheduling survey. J. Trans. Res. Board 1894, 140–149 (2004)

    Article  Google Scholar 

  • Emmerink, R., van Beek, P.: Empirical analysis of work schedule flexibility: Implications for road pricing and driver information systems. Urban Stud. 34(2), 217–234 (1997)

    Article  Google Scholar 

  • Hägerstrand, T.: What about people in regional science?. Pap. Reg. Sci. Assoc. 24(7), 7–21 (1970)

    Google Scholar 

  • Joh C.H., Doherty S.T., Polak J.W.: Analysis of factors affecting frequency and type of activity schedule modification. J. Trans. Res. Board 1926, 19–25 (2005)

  • Kitamura, R., Chen, C., Pendyala, R.M., Narayanan, R.: Micro-simulation of daily activity-travel patterns for travel demand forecasting. Transportation 27(1), 25–51 (2000)

    Article  Google Scholar 

  • Limanond, T., Niemeier, D.A., Mokhtarian, P.L.: Specification of a tour-based neighborhood shopping model. Transportation 32, 105–134 (2005)

    Article  Google Scholar 

  • Miller, E.J.: Propositions for modelling household decision-making. In: Lee-Gosselin M., Doherty S.T. (eds) Integrated Land Use, Transportation Models: Behavioural Foundations, pp. 21–60. Elsevier, Oxford (2005)

    Google Scholar 

  • Miller, E.J. and Roorda, M.J.: A Prototype Model of Household Activity/Travel Scheduling. Trans. Res. Rec.: J. Trans. Res. Board 1831: 114–121 (2003)

    Google Scholar 

  • Mohammadian A., Doherty S.T.: A mixed logit model of activity scheduling time horizon incorporating spatial-temporal variables. J. Trans. Res. Board 1926, 33–40 (2005)

  • Roorda M., Miller E.J.: Strategies for resolving activity scheduling conflicts: an empirical analysis. In: Timmermans, H. (ed.) Progress in Activity-Based Analysis, pp. 203–222. Elsevier Science, Oxford (2003)

  • Schwanen, T., Dijst, M.: Time windows in workers’ activity patterns: empirical evidence from the Netherlands. Transportation 30(3), 261–283 (2003)

    Article  Google Scholar 

  • Shiftan, Y.: Practical approach to model trip chaining. Trans. Res. Rec. 1645, 17–23 (1998)

    Google Scholar 

  • Steward, B.: Changing times: the meaning, measurement and use of time in teleworking. Time Soc. 9(1), 57–74 (2000)

    Google Scholar 

Download references

Acknowledgements

The author would like to thank all those who contributed to the collection of the data for this paper, including especially Matt Roorda, Erika Nemeth, Eric Miller, Martin Lee-Gosselin, Kim Tran, May Lynn Fong, and all those who graciously contributed their time to completing the survey. The author would also like to acknowledge the financial support received from the Social Sciences and Humanities Research Council of Canada.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Sean T. Doherty.

Rights and permissions

Reprints and permissions

About this article

Cite this article

Doherty, S.T. Should we abandon activity type analysis? Redefining activities by their salient attributes. Transportation 33, 517–536 (2006). https://doi.org/10.1007/s11116-006-0001-9

Download citation

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s11116-006-0001-9

Keywords

Navigation