Skip to main content
SpringerLink
Log in

Effects of household structure and selected travel characteristics on trip chaining

  • Articles
  • Published:
Transportation Aims and scope Submit manuscript

Abstract

This paper analyzes trip chaining, focusing on how households organize non-work travel. A trip chaining typology is developed using household survey data from Portland, Oregon. Households are organized according to demographic structure, allowing analysis of trip chaining differences among household types. A logit model of the propensity to link non-work trips to the work commute is estimated. A more general model of household allocation of non-work travel among three alternative chain types — work commutes, multi-stop non-work journeys, and unlinked trips — is also developed and estimated. Empirical results indicate that the likelihood of linking work and non-work travel, and the more general organization of non-work travel, varies with respect to household structure and other factors which previous studies have found to be important. The effects of two congestion indicators on trip chaining were mixed: workers who commuted in peak periods were found to have lower propensity to form work/non-work chains, while a more general congestion indicator had no effect on the allocation of non-work trips among alternative chains.

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

Access this article

Log in via an institution

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

Instant access to the full article PDF.

Institutional subscriptions

Similar content being viewed by others

References

  • Abkowitz MD (1981) An analysis of the commuter departure time decisionTransportation 10: 283–297.

    Google Scholar 

  • Adler T & Ben-Akiva M (1979) A theoretical and empirical model of trip chaining behavior.Transportation Research-B 13B: 243–257.

    Google Scholar 

  • Becker GS (1965) A theory of the allocation of time.Economic Journal 80: 493–517.

    Google Scholar 

  • Cervero R (1988) Land use mixing and suburban mobility.Transportation Quarterly: 42: 429–446.

    Google Scholar 

  • Chin ATH (1990) Influences on commuter trip departure time decisions in Singapore.Transportation Research-A 24A: 321–333.

    Google Scholar 

  • Clarke MI Dix MC Jones PM & Heggie IG (1981) Some recent developments in activity-travel analysis.Transportation Research Record 794: 1–8.

    Google Scholar 

  • Damm D (1982) Parameters of activity behavior for use in travel analysis.Transportation Research-A 16A: 135–148.

    Google Scholar 

  • Downs, A (1992)Stuck in Traffic: Coping With Peak Hour Traffic Congestion. Washington, DC: The Brookings Institution.

    Google Scholar 

  • Exter TG (1992a) Home alone in 2000,American Demographics 14 (September), 67.

    Google Scholar 

  • Exter TG (1992b) Middle-aging Households.American Demographics 14 (July), 63.

    Google Scholar 

  • Golob TF (1986) A nonlinear canonical correlation analysis of weekly trip chaining behavior.Transportation Research-A 20A: 385–399.

    Google Scholar 

  • Gordon P. Kumar A & Richardson HW (1990) Peak spreading: how much?Transportation Research-A 24A: 165–175.

    Google Scholar 

  • — (1989) Congestion, changing metropolitan structure, and city size in the United States.International Regional Science Review 12: 45–56.

    Google Scholar 

  • — (1988) Beyond the journey to work.Transportation Research-A 22A: 419–426.

    Google Scholar 

  • Goulias KG & Kitamura R (1989) Recursive model system for trip generation and trip chaining.Transportation Research Record 1236: 59–66.

    Google Scholar 

  • Hagerstrand T (1970) What about people in regional science?Papers of the Regional Science Association 24: 7–21.

    Google Scholar 

  • Hanson S (1980) The importance of the multi-purpose journey to work in urban travel behavior.Transportation 9: 229–248.

    Google Scholar 

  • Hanson S & Hanson P (1981) The travel-activity patterns of urban residents: Dimensions and relationships to socio-demographic characteristics.Economic Geography 57: 332–347.

    Google Scholar 

  • Hayghe HV (1990) Family members in the work Force.Monthly Labor Review March: 14–19.

    Google Scholar 

  • Heggie G & Jones PM (1978) Defining domains for models of travel demands.Transportation 7: 119–125.

    Google Scholar 

  • Hendrickson C & Plank E (1984) The flexibility of departure times for work trips.Transportation Research-A 18A: 25–36.

    Google Scholar 

  • Hodge DC (1991) Development of methods of analysis for planning transit system components in and around major activity centers, Part I Trip chaining: the behavioral basis for the design of circulation systems for major activity centers.Final Report Transportation Northwest Regional Center, Seattle, University of Washington.

    Google Scholar 

  • Horowitz JL (1985) Travel and location behavior: State of the art and research opportunitiesTransportation Research-A 19A: 441–453.

    Google Scholar 

  • Kansky KJ (1967) Travel patterns of urban residents.Transportation Science 1: 261–285.

    Google Scholar 

  • Kitamura R (1988) An evaluation of activity-based travel analysis.Transportation 15: 9–34.

    Google Scholar 

  • Kitamura R (1983) Sequential, history-dependent approach to trip chaining behavior.Transportation Research Record 944: 13–22.

    Google Scholar 

  • Landau U, Prashker JN & Hirsh M (1981) The effect of temporal constraints on household travel behavior.Environment and Planning A 13: 435–448.

    Google Scholar 

  • Mannering FL & Mohammad M Hamed (1990) Occurrence, frequency and duration of commuters' work-to-home departure delay.Transportation Research-B 24B: 99–109.

    Google Scholar 

  • Neale FL & Hutchinson BG (1981) Analysis of Household travel activities by information statistics.Transportation Research-A 15A: 163–171.

    Google Scholar 

  • Nishii K Kondo K & Kitamura R (1988) Empirical analysis of trip chaining behavior.Transportation Research Record 1203: 48–59.

    Google Scholar 

  • Oppenheim N (1975) A typological approach to individual urban travel behavior.Environment and Planning-A 7A: 141–152.

    Google Scholar 

  • Oster CV (1979) Second role of the work trip — visiting nonwork destinations.Transportation Research Record 728: 79–82.

    Google Scholar 

  • Oster CV (1978) Household tripmaking to multiple destinations: The overlooked urban travel pattern.Traffic Quarterly 32: 511–529.

    Google Scholar 

  • Pas EI (1984) The Effect of Selected socio-demographic characteristics on daily travel-activity behavior.Environment and Planning A 16: 571–581.

    Google Scholar 

  • Pas EI (1982) Analytically derived classifications of daily travel-activity behavior: Description, evaluation and interpretation.Transportation Research Record 879: 9–15.

    Google Scholar 

  • Pisarski AE (1992)Travel Behavior issues in the 90s. U.S. Department of Transportation, Federal Highway Administration, Advance Copy.

  • Prevedouros PD & Schofer JL (1989) Suburban transportation behavior as a factor in congestion.Transportation Research Record 1237: 47–58.

    Google Scholar 

  • Recker WW McNally MG & Root GS (1987) An empirical analysis of urban activity patterns.Geographical Analysis 19: 166–181.

    Google Scholar 

  • Richardson W & Gordon P (1989) Counting nonwork trips: The missing link in transportation, land use and urban policy.Urban Land, September: 6–12.

    Google Scholar 

  • Small KA (1982) The scheduling of consumer activities: work trips.American Economic Review 72: 467–479.

    Google Scholar 

  • Talvitie A & Dehghani Y (1979) Comparison of observed and coded network travel time and cost measurements.Transportation Research Record 723: 46–51.

    Google Scholar 

  • U.S. Bureau of the Census, Current Population Report (1991).Household and Family Characteristics 1990. Washington, D.C.: U.S. Government Printing Office.

    Google Scholar 

  • Williams PA (1988) A recursive model of intraurban trip-making.Environment and Planning A, 10: 535–546.

    Google Scholar 

  • Wilson PW (1989) Scheduling costs and the value of travel time.Urban Studies 26: 356–366.

    Google Scholar 

Download references

Author information

Authors and Affiliations

  1. Center for Urban Studies, School of Urban and Public Affairs, Portland State University, 97207, Portland, OR, USA

    James G. Strathman, Kenneth J. Dueker & Judy S. Davis

Authors
  1. James G. Strathman
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Kenneth J. Dueker
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Judy S. Davis
    View author publications

    You can also search for this author in PubMed Google Scholar

Additional information

The contents of this paper reflect the views of the authors, who are responsible for the facts and the accuracy of the data presented herein. This document is disseminated through Transportation Northwest (TransNow) Regional Center under the sponsorship of the Department of Transportation UTC Grant Program in the interest of information exchange. The U.S. Government assumes no liability for the contents or use thereof. The contents do not necessarily reflect the views or policies of TransNow, the U.S. Department of Transportation or any of the local sponsors.

Rights and permissions

Reprints and permissions

About this article

Cite this article

Strathman, J.G., Dueker, K.J. & Davis, J.S. Effects of household structure and selected travel characteristics on trip chaining. Transportation 21, 23–45 (1994). https://doi.org/10.1007/BF01119633

Download citation

  • Accepted:

  • Issue Date:

  • DOI: https://doi.org/10.1007/BF01119633

Key words

Search

Navigation