IDEAS home Printed from https://ideas.repec.org/a/sae/envira/v34y2002i8p1487-1507.html
   My bibliography  Save this article

A Microlevel Analysis of Residential Context and Travel Time

Author

Listed:
  • Tim Schwanen
  • Martin Dijst
  • Frans M Dieleman

Abstract

The literature on the association between residential context and travel concentrates on distance traveled and modal choice, as these variables are the most important from an environmental perspective. Travel time has received less attention—an unfortunate oversight in our view, as people's travel decisions are determined by time rather than by distance. By using data from the 1998 Netherlands National Travel Survey, we have considered travel time associated with trip purpose and transport mode, and have shown that sociodemographic factors and residential context influence daily travel time. Gender, number of workers in the household, age, and education all have a significant impact on travel time. The effects of car ownership and household income are only indirect, operating through mode choice and activity participation. Travel time for car drivers tends to rise with the degree of urbanisation of the residential environment. Further, in the polycentric metropolitan region of the Randstad, travel times by car are greater than in the monocentric regions of the country. It is also shown that in the Netherlands cycling and walking are still important travel modes, especially for shopping purposes. These results may be attributed to the long history of urbanisation and to planning policy in the Netherlands.

Suggested Citation

  • Tim Schwanen & Martin Dijst & Frans M Dieleman, 2002. "A Microlevel Analysis of Residential Context and Travel Time," Environment and Planning A, , vol. 34(8), pages 1487-1507, August.
  • Handle: RePEc:sae:envira:v:34:y:2002:i:8:p:1487-1507
    DOI: 10.1068/a34159
    as

    Download full text from publisher

    File URL: https://journals.sagepub.com/doi/10.1068/a34159
    Download Restriction: no

    File URL: https://libkey.io/10.1068/a34159?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. World Commission on Environment and Development,, 1987. "Our Common Future," OUP Catalogue, Oxford University Press, number 9780192820808.
    2. Adler, Thomas & Ben-Akiva, Moshe, 1979. "A theoretical and empirical model of trip chaining behavior," Transportation Research Part B: Methodological, Elsevier, vol. 13(3), pages 243-257, September.
    3. Heckman, James, 2013. "Sample selection bias as a specification error," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 31(3), pages 129-137.
    4. Golob, Thomas F. & Bradley, Mark A. & Polak, John W., 1995. "Travel and Activity Participation as Influenced by Car Availability and Use," University of California Transportation Center, Working Papers qt9jt3t8v1, University of California Transportation Center.
    5. Golob, Thomas F. & McNally, Michael G., 1997. "A model of activity participation and travel interactions between household heads," Transportation Research Part B: Methodological, Elsevier, vol. 31(3), pages 177-194, June.
    6. Genevieve Giuliano & Kenneth A. Small, 1993. "Is the Journey to Work Explained by Urban Structure?," Urban Studies, Urban Studies Journal Limited, vol. 30(9), pages 1485-1500, November.
    7. Lu, Xuedong & Pas, Eric I., 1999. "Socio-demographics, activity participation and travel behavior," Transportation Research Part A: Policy and Practice, Elsevier, vol. 33(1), pages 1-18, January.
    8. David Levinson & Ajay Kumar, 1994. "The Rational Locator: Why Travel Times Have Remained Stable," Working Papers 199402, University of Minnesota: Nexus Research Group.
    9. Martin Dijst & Velibor Vidakovic, 2000. "Travel time ratio: the key factor of spatial reach," Transportation, Springer, vol. 27(2), pages 179-199, May.
    10. Giuliano, Genevieve, 1989. "New Directions for Understanding Transportation and Land Use," University of California Transportation Center, Working Papers qt72f0362d, University of California Transportation Center.
    11. Schwanen, Tim & Dijst, Martin, 2002. "Travel-time ratios for visits to the workplace: the relationship between commuting time and work duration," Transportation Research Part A: Policy and Practice, Elsevier, vol. 36(7), pages 573-592, August.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Schwanen, Tim & Dijst, Martin, 2002. "Travel-time ratios for visits to the workplace: the relationship between commuting time and work duration," Transportation Research Part A: Policy and Practice, Elsevier, vol. 36(7), pages 573-592, August.
    2. Chen, Cynthia & Mokhtarian, Patricia L, 2005. "An Exploratory Study Using an AIDS Model For Tradeoffs Between Time Allocations to Maintenance Activities/Travel and Discretionary Activities/Travel," Institute of Transportation Studies, Working Paper Series qt2wr907nc, Institute of Transportation Studies, UC Davis.
    3. Iragaël Joly & Stéphanie Vincent-Geslin, 2016. "Intensive travel time: an obligation or a choice?," Post-Print halshs-01309467, HAL.
    4. Joly, I., 2011. "Test of the relation between travel and activities times : different representations of a demand derived from activity participation," Working Papers 201103, Grenoble Applied Economics Laboratory (GAEL).
    5. Iragaël Joly, 2006. "The role of travel time budgets – Representation of a demand derived from activity participation," Post-Print halshs-00181431, HAL.
    6. Jahun Koo & Jiyoon Kim & Sungtaek Choi & Sangho Choo, 2022. "Identifying the Causal Relationship between Travel and Activity Times: A Structural Equation Modeling Approach," Sustainability, MDPI, vol. 14(8), pages 1-18, April.
    7. Zhao, Pengjun & Lu, Bin, 2010. "Exploring job accessibility in the transformation context: an institutionalist approach and its application in Beijing," Journal of Transport Geography, Elsevier, vol. 18(3), pages 393-401.
    8. Zidan Mao & Dick Ettema & Martin Dijst, 2018. "Analysis of travel time and mode choice shift for non-work stops in commuting: case study of Beijing, China," Transportation, Springer, vol. 45(3), pages 751-766, May.
    9. Jonathan Stiles & Michael J. Smart, 2021. "Working at home and elsewhere: daily work location, telework, and travel among United States knowledge workers," Transportation, Springer, vol. 48(5), pages 2461-2491, October.
    10. Ruiz, Tomás & Habib, Khandker Nurul, 2016. "Scheduling decision styles on leisure and social activities," Transportation Research Part A: Policy and Practice, Elsevier, vol. 88(C), pages 304-317.
    11. Wang, Donggen & Chai, Yanwei & Li, Fei, 2011. "Built environment diversities and activity–travel behaviour variations in Beijing, China," Journal of Transport Geography, Elsevier, vol. 19(6), pages 1173-1186.
    12. Zhao, Pengjun & Lü, Bin & Roo, Gert de, 2011. "Impact of the jobs-housing balance on urban commuting in Beijing in the transformation era," Journal of Transport Geography, Elsevier, vol. 19(1), pages 59-69.
    13. Mokhtarian, Patricia L. & Chen, Cynthia, 2004. "TTB or not TTB, that is the question: a review and analysis of the empirical literature on travel time (and money) budgets," Transportation Research Part A: Policy and Practice, Elsevier, vol. 38(9-10), pages 643-675.
    14. Jie Zhang & Yang Xie, 2015. "Optimal Intra-Urban Hierarchy of Activity Centers—A Minimized Household Travel Energy Consumption Approach," Sustainability, MDPI, vol. 7(9), pages 1-19, August.
    15. Wang, Rui, 2015. "The stops made by commuters: evidence from the 2009 US National Household Travel Survey," Journal of Transport Geography, Elsevier, vol. 47(C), pages 109-118.
    16. Chen, Quizi, 2001. "An Exploration of Activity Scheduling and Rescheduling Processes," University of California Transportation Center, Working Papers qt9kb4q6vt, University of California Transportation Center.
    17. Stephan Brunow & Manuela Gründer, 2013. "The impact of activity chaining on the duration of daily activities," Transportation, Springer, vol. 40(5), pages 981-1001, September.
    18. Chen, Jie & Shaw, Shih-Lung & Yu, Hongbo & Lu, Feng & Chai, Yanwei & Jia, Qinglei, 2011. "Exploratory data analysis of activity diary data: a space–time GIS approach," Journal of Transport Geography, Elsevier, vol. 19(3), pages 394-404.
    19. Stefan P.T. Groot & Henri L.F. de Groot & Paolo Veneri, 2012. "The Educational Bias in Commuting Patterns: Micro-Evidence for the Netherlands," Tinbergen Institute Discussion Papers 12-080/3, Tinbergen Institute.
    20. Su, Rongxiang & Xiao, Jingyi & McBride, Elizabeth C. & Goulias, Konstadinos G., 2021. "Understanding senior's daily mobility patterns in California using human mobility motifs," Journal of Transport Geography, Elsevier, vol. 94(C).

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:sae:envira:v:34:y:2002:i:8:p:1487-1507. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: SAGE Publications (email available below). General contact details of provider: .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.