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Trip linkages of urban railway commuters under time-space constraints: Some empirical observations

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  • Nishii, Kazuo
  • Kondo, Katsunao

Abstract

This paper aims at analyzing temporal and spatial constraints underlying rail commuters' trip linkages, and examines the role of the terminal station where a commuter transfers lines or leaves. Using an empirical data set of the rail commuters who made a non-work stop in addition to a work stop, distributions of path types by rail line are presented and their spatial extension of stops for non-work activity are quantitatively measured. The analysis further examines relationships between the choice of a non-work stop location and the rail commuter's trip pattern. The results provide strong evidence that non-work stops in the after-work paths tend to cluster around the commuting terminal as well as the work place zone.

Suggested Citation

  • 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.
    • Handle: RePEc:eee:transb:v:26:y:1992:i:1:p:33-44
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    Cited by:

    1. 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.
    2. 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.
    3. Tijs Neutens & Tim Schwanen & Frank Witlox & Philippe De Maeyer, 2010. "Equity of Urban Service Delivery: A Comparison of Different Accessibility Measures," Environment and Planning A, , vol. 42(7), pages 1613-1635, July.
    4. 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.
    5. Cervero, Robert, 2005. "Accessible Cities and Regions: A Framework for Sustainable Transport and Urbanism in the 21st Century," Institute of Transportation Studies, Research Reports, Working Papers, Proceedings qt27g2q0cx, Institute of Transportation Studies, UC Berkeley.
    6. 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.
    7. Toshiyuki Yamamoto & Ryuichi Kitamura & Ram M Pendyala, 2004. "Comparative Analysis of Time-Space Prism Vertices for Out-of-Home Activity Engagement on Working and Nonworking Days," Environment and Planning B, , vol. 31(2), pages 235-250, April.
    8. Susilo, Yusak O. & Kitamura, Ryuichi, 2008. "Structural changes in commuters' daily travel: The case of auto and transit commuters in the Osaka metropolitan area of Japan, 1980-2000," Transportation Research Part A: Policy and Practice, Elsevier, vol. 42(1), pages 95-115, January.
    9. Recker, W. W. & Chen, C. & McNally, M. G., 2000. "Measuring the impact of efficient household travel decisions on potential travel time savings and accessibility gains," University of California Transportation Center, Working Papers qt1qq2t12b, University of California Transportation Center.
    10. 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.
    11. Recker, W. W. & Chen, C. & McNally, M. G., 2000. "Measuring the impact of efficient household travel decisions on potential travel time savings and accessibility gains," University of California Transportation Center, Working Papers qt3kc5j7dc, University of California Transportation Center.
    12. Sumeeta Srinivasan, 2002. "Quantifying Spatial Characteristics of Cities," Urban Studies, Urban Studies Journal Limited, vol. 39(11), pages 2005-2028, October.
    13. Recker, W. W. & Chen, C. & McNally, M. G., 2001. "Measuring the impact of efficient household travel decisions on potential travel time savings and accessibility gains," Transportation Research Part A: Policy and Practice, Elsevier, vol. 35(4), pages 339-369, May.
    14. Tim Schwanen & Dick Ettema & Harry Timmermans, 2007. "If You Pick up the Children, I'll Do the Groceries: Spatial Differences in between-Partner Interactions in out-of-Home Household Activities," Environment and Planning A, , vol. 39(11), pages 2754-2773, November.
    15. 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.
    16. 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.
    17. 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.

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