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A segmentation study of pedestrian weekend activity patterns in a central business district

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  • Saarloos, Dick
  • Joh, Chang-Hyeon
  • Zhang, Junyi
  • Fujiwara, Akimasa

Abstract

Initiatives for the regeneration (or renewal) of Central Business Districts (CBD) could benefit from knowledge about how pedestrians interact with the environment. This study examined both cross-sectional and sequential information embedded in weekend activity patterns of pedestrians in the CBD of Hiroshima City (Japan). A multidimensional sequence alignment method was used that accounted for the types of facilities where pedestrians stopped, and whether or not stops occurred in the main street. A subsequent cluster analysis identified five distinctive pedestrian segments. The findings illustrate that, despite the complexities underlying pedestrian behavior, meaningful regularities in activity patterns can be found.

Suggested Citation

  • Saarloos, Dick & Joh, Chang-Hyeon & Zhang, Junyi & Fujiwara, Akimasa, 2010. "A segmentation study of pedestrian weekend activity patterns in a central business district," Journal of Retailing and Consumer Services, Elsevier, vol. 17(2), pages 119-129.
    • Handle: RePEc:eee:joreco:v:17:y:2010:i:2:p:119-129
    DOI: 10.1016/j.jretconser.2009.11.002
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    References listed on IDEAS

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    Cited by:

    1. Jianchuan Xianyu & Soora Rasouli & Harry Timmermans, 2017. "Analysis of variability in multi-day GPS imputed activity-travel diaries using multi-dimensional sequence alignment and panel effects regression models," Transportation, Springer, vol. 44(3), pages 533-553, May.

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