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

Dick Saarloos, Chang-Hyeon Joh, Junyi Zhang () and Akimasa Fujiwara

Journal of Retailing and Consumer Services, 2010, vol. 17, issue 2, 119-129

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.

Keywords: Pedestrian behavior; Multidimensional sequence alignment method; Cluster analysis (search for similar items in EconPapers)
Date: 2010
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Citations: View citations in EconPapers (1)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:joreco:v:17:y:2010:i:2:p:119-129

DOI: 10.1016/j.jretconser.2009.11.002

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