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Mode Choice of Older People Before and After Shopping: A Study with London Data

Author

Listed:
  • Su, Fengming

    (Imperial College, London)

  • Schmöcker, Jan-Dirk

    (Tokyo Institute of Technology)

  • Bell, Michael G.H.

    (Imperial College, London)

Abstract

With the population aging in many countries, older people’s travel is recently getting more attention in the transportation literature. However our understanding of factors influencing their mode choice is still limited. In this research the focus is on mode choice for shopping trips as these are the most frequent trips of older people. The study is not limited to trips to the shopping centre, but investigates the combined mode choice of trips to and from the shop in order to understand also which factors influence mode changes. Two types of models - the multinomial logit (MNL) and the nested logit (NL) - are fitted to data from the London Area Travel Survey. The nesting structure is used to test the correlation in mode choice before and after shopping. A particular focus of the models is on the importance of accessibility variables such as bus and rail stop density and service quality for specific areas of London. The results show that mode choice combinations such as “walk to shop and take the bus back” are not as frequent as sometimes thought and that bus stop density is of more significance to older people than attributes describing the quality of the bus services like service frequency.

Suggested Citation

  • Su, Fengming & Schmöcker, Jan-Dirk & Bell, Michael G.H., 2009. "Mode Choice of Older People Before and After Shopping: A Study with London Data," The Journal of Transport and Land Use, Center for Transportation Studies, University of Minnesota, vol. 2(1), pages 29-46.
    • Handle: RePEc:ris:jtralu:0017
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    References listed on IDEAS

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    Cited by:

    1. Catherine Sundling & Mats E. Nilsson & Sara Hellqvist & Leslie R. Pendrill & Ragne Emardson & Birgitta Berglund, 2016. "Travel behaviour change in old age: the role of critical incidents in public transport," European Journal of Ageing, Springer, vol. 13(1), pages 75-83, March.
    2. Catherine Sundling & Birgitta Berglund & Mats E. Nilsson & Ragne Emardson & Leslie R. Pendrill, 2014. "Overall Accessibility to Traveling by Rail for the Elderly with and without Functional Limitations: The Whole-Trip Perspective," IJERPH, MDPI, vol. 11(12), pages 1-31, December.
    3. Hjorthol, Randi J. & Levin, Lena & Sirén, Anu, 2010. "Mobility in different generations of older persons," Journal of Transport Geography, Elsevier, vol. 18(5), pages 624-633.
    4. Rui Zhao & Linchuan Yang & Xinrong Liang & Yuanyuan Guo & Yi Lu & Yixuan Zhang & Xinyun Ren, 2019. "Last-Mile Travel Mode Choice: Data-Mining Hybrid with Multiple Attribute Decision Making," Sustainability, MDPI, vol. 11(23), pages 1-15, November.
    5. Le Yu & Binglei Xie & Edwin H. W. Chan, 2018. "How does the Built Environment Influence Public Transit Choice in Urban Villages in China?," Sustainability, MDPI, vol. 11(1), pages 1-15, December.
    6. Sanko, Nobuhiro, 2020. "Activity-end access/egress modal choices between stations and campuses located on a hillside," Research in Transportation Economics, Elsevier, vol. 83(C).
    7. Levinson, David, 2011. "Introduction," The Journal of Transport and Land Use, Center for Transportation Studies, University of Minnesota, vol. 4(1), pages 1-3.
    8. Pettersson, Pierre & Schmöcker, Jan-Dirk, 2010. "Active ageing in developing countries? – trip generation and tour complexity of older people in Metro Manila," Journal of Transport Geography, Elsevier, vol. 18(5), pages 613-623.
    9. Steven Farber & Antonio Páez, 2010. "Employment status and commute distance of Canadians with disabilities," Transportation, Springer, vol. 37(6), pages 931-952, November.
    10. Dou, Xianchen & Jian, Meiying & Guo, Chen & Cao, JinXin, 2023. "Estimation of the aggregation degree of public transport use among elderly people based on urban built environment," Journal of Transport Geography, Elsevier, vol. 112(C).

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    More about this item

    Keywords

    Older People; shopping; mode choice;
    All these keywords.

    JEL classification:

    • R40 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Transportation Economics - - - General

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