IDEAS home Printed from https://ideas.repec.org/a/kap/transp/v30y2003i3p261-283.html
   My bibliography  Save this article

Time windows in workers' activity patterns: Empirical evidence from the Netherlands

Author

Listed:
  • Tim Schwanen
  • Martin Dijst

Abstract

No abstract is available for this item.

Suggested Citation

  • Tim Schwanen & Martin Dijst, 2003. "Time windows in workers' activity patterns: Empirical evidence from the Netherlands," Transportation, Springer, vol. 30(3), pages 261-283, August.
  • Handle: RePEc:kap:transp:v:30:y:2003:i:3:p:261-283
    DOI: 10.1023/A:1023905020890
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1023/A:1023905020890
    Download Restriction: Access to full text is restricted to subscribers.

    File URL: https://libkey.io/10.1023/A:1023905020890?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
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Ram Pendyala & Toshiyuki Yamamoto & Ryuichi Kitamura, 2002. "On the formulation of time-space prisms to model constraints on personal activity-travel engagement," Transportation, Springer, vol. 29(1), pages 73-94, February.
    2. Bhat, Chandra R. & Singh, Sujit K., 2000. "A comprehensive daily activity-travel generation model system for workers," Transportation Research Part A: Policy and Practice, Elsevier, vol. 34(1), pages 1-22, January.
    3. Joh, Chang-Hyeon & Arentze, Theo & Hofman, Frank & Timmermans, Harry, 2002. "Activity pattern similarity: a multidimensional sequence alignment method," Transportation Research Part B: Methodological, Elsevier, vol. 36(5), pages 385-403, June.
    4. Cajo Braak, 1990. "Interpreting canonical correlation analysis through biplots of structure correlations and weights," Psychometrika, Springer;The Psychometric Society, vol. 55(3), pages 519-531, September.
    5. Nishii, Kazuo & Kondo, Katsunao, 1992. "Trip linkages of urban railway commuters under time-space constraints: Some empirical observations," Transportation Research Part B: Methodological, Elsevier, vol. 26(1), pages 33-44, February.
    6. Kondo, Katsunao & Kitamura, Ryuichi, 1987. "Time-space constraints and the formation of trip chains," Regional Science and Urban Economics, Elsevier, vol. 17(1), pages 49-65, February.
    7. Martin Dijst & Velibor Vidakovic, 2000. "Travel time ratio: the key factor of spatial reach," Transportation, Springer, vol. 27(2), pages 179-199, May.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Moyin Li & Nebiyou Tilahun, 2020. "A comparative analysis of discretionary time allocation for social and non-social activities in the U.S. between 2003 and 2013," Transportation, Springer, vol. 47(2), pages 893-909, April.
    2. Elldér, Erik, 2014. "Residential location and daily travel distances: the influence of trip purpose," Journal of Transport Geography, Elsevier, vol. 34(C), pages 121-130.
    3. Bayarma Alexander & Christa Hubers & Tim Schwanen & Martin Dijst & Dick Ettema, 2011. "Anything, Anywhere, Anytime? Developing Indicators to Assess the Spatial and Temporal Fragmentation of Activities," Environment and Planning B, , vol. 38(4), pages 678-705, August.
    4. Tim Schwanen & Patricia L Mokhtarian, 2004. "The Extent and Determinants of Dissonance between Actual and Preferred Residential Neighborhood Type," Environment and Planning B, , vol. 31(5), pages 759-784, October.
    5. Ta, Na & Zhao, Ying & Chai, Yanwei, 2016. "Built environment, peak hours and route choice efficiency: An investigation of commuting efficiency using GPS data," Journal of Transport Geography, Elsevier, vol. 57(C), pages 161-170.
    6. Sean Doherty, 2006. "Should we abandon activity type analysis? Redefining activities by their salient attributes," Transportation, Springer, vol. 33(6), pages 517-536, November.
    7. Bayarma Alexander & Martin Dijst & Dick Ettema, 2010. "Working from 9 to 6? An analysis of in-home and out-of-home working schedules," Transportation, Springer, vol. 37(3), pages 505-523, May.
    8. Schwanen, Tim & Mokhtarian, Patricia L., 1998. "Does Dissonance Between Desired and Current Residential Neighbourhood Type Affect Individual Travel Behaviour? An Empirical Assessment From the San Francisco Bay Area," University of California Transportation Center, Working Papers qt26k8w6xf, University of California Transportation Center.
    9. Shen, Yue & Kwan, Mei-Po & Chai, Yanwei, 2013. "Investigating commuting flexibility with GPS data and 3D geovisualization: a case study of Beijing, China," Journal of Transport Geography, Elsevier, vol. 32(C), pages 1-11.
    10. Moyano, Amparo & Martínez, Héctor S. & Coronado, José M., 2018. "From network to services: A comparative accessibility analysis of the Spanish high-speed rail system," Transport Policy, Elsevier, vol. 63(C), pages 51-60.
    11. Ben-Elia, Eran & Alexander, Bayarma & Hubers, Christa & Ettema, Dick, 2014. "Activity fragmentation, ICT and travel: An exploratory Path Analysis of spatiotemporal interrelationships," Transportation Research Part A: Policy and Practice, Elsevier, vol. 68(C), pages 56-74.

    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. 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.
    2. Yoon, Seo Youn & Ravulaparthy, Srinath K. & Goulias, Konstadinos G., 2014. "Dynamic diurnal social taxonomy of urban environments using data from a geocoded time use activity-travel diary and point-based business establishment inventory," Transportation Research Part A: Policy and Practice, Elsevier, vol. 68(C), pages 3-17.
    3. Jae Hyun Lee & Adam W. Davis & Seo Youn Yoon & Konstadinos G. Goulias, 2016. "Activity space estimation with longitudinal observations of social media data," Transportation, Springer, vol. 43(6), pages 955-977, November.
    4. Krygsman, Stephan & Arentze, Theo & Timmermans, Harry, 2007. "Capturing tour mode and activity choice interdependencies: A co-evolutionary logit modelling approach," Transportation Research Part A: Policy and Practice, Elsevier, vol. 41(10), pages 913-933, December.
    5. Abdul Rawoof Pinjari & Chandra R. Bhat, 2011. "Activity-based Travel Demand Analysis," Chapters, in: André de Palma & Robin Lindsey & Emile Quinet & Roger Vickerman (ed.), A Handbook of Transport Economics, chapter 10, Edward Elgar Publishing.
    6. Michael Duncan, 2016. "How much can trip chaining reduce VMT? A simplified method," Transportation, Springer, vol. 43(4), pages 643-659, July.
    7. Bhat, Chandra & Lockwood, Allison, 2004. "On distinguishing between physically active and physically passive episodes and between travel and activity episodes: an analysis of weekend recreational participation in the San Francisco Bay area," Transportation Research Part A: Policy and Practice, Elsevier, vol. 38(8), pages 573-592, October.
    8. Chandra Bhat, 2001. "Modeling the Commute Activity-Travel Pattern of Workers: Formulation and Empirical Analysis," Transportation Science, INFORMS, vol. 35(1), pages 61-79, February.
    9. Cheng, Shaowu & Xie, Bing & Bie, Yiming & Zhang, Yaping & Zhang, Shen, 2018. "Measure dynamic individual spatial-temporal accessibility by public transit: Integrating time-table and passenger departure time," Journal of Transport Geography, Elsevier, vol. 66(C), pages 235-247.
    10. Elizabeth Sall & Chandra Bhat, 2007. "An Analysis of Weekend Work Activity Patterns in the San Francisco Bay Area," Transportation, Springer, vol. 34(2), pages 161-175, March.
    11. Kamruzzaman, Md. & Hine, Julian & Gunay, Banihan & Blair, Neale, 2011. "Using GIS to visualise and evaluate student travel behaviour," Journal of Transport Geography, Elsevier, vol. 19(1), pages 13-32.
    12. Bhat, Chandra R. & Srinivasan, Sivaramakrishnan, 2005. "A multidimensional mixed ordered-response model for analyzing weekend activity participation," Transportation Research Part B: Methodological, Elsevier, vol. 39(3), pages 255-278, March.
    13. Bhat, Chandra R. & Gossen, Rachel, 2004. "A mixed multinomial logit model analysis of weekend recreational episode type choice," Transportation Research Part B: Methodological, Elsevier, vol. 38(9), pages 767-787, November.
    14. 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.
    15. Bhat, Chandra R. & Frusti, Teresa & Zhao, Huimin & Schönfelder, Stefan & Axhausen, Kay W., 2004. "Intershopping duration: an analysis using multiweek data," Transportation Research Part B: Methodological, Elsevier, vol. 38(1), pages 39-60, January.
    16. Ram Pendyala & Toshiyuki Yamamoto & Ryuichi Kitamura, 2002. "On the formulation of time-space prisms to model constraints on personal activity-travel engagement," Transportation, Springer, vol. 29(1), pages 73-94, February.
    17. Dharmowijoyo, Dimas B.E. & Susilo, Yusak O. & Karlström, Anders, 2016. "Relationships among discretionary activity duration, its travel time spent and activity space indices in the Jakarta Metropolitan Area, Indonesia," Journal of Transport Geography, Elsevier, vol. 54(C), pages 148-160.
    18. 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.
    19. 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).
    20. Ram Pendyala & Chandra Bhat, 2004. "An Exploration of the Relationship between Timing and Duration of Maintenance Activities," Transportation, Springer, vol. 31(4), pages 429-456, November.

    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:kap:transp:v:30:y:2003:i:3:p:261-283. 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: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    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.