Customer Traffic Pattern Analysis

Customer Traffic Pattern Analysis is a methodological framework within retail layout research that systematically examines and interprets the movement behaviors of shoppers through physical store spaces to identify navigational tendencies, dwell areas, and path efficiencies, thereby informing spatial design decisions to optimize product visibility and sales conversion.

32

Publications

3K

Citations

90

Authors

57

Institutions

Publications per year

2017–2026

8

Authors

90

  1. RE
    Ronald E. Milliman

    Western Kentucky University, United States

    2 publications · 1.3K citations

    2

    h-index

  2. HE
    Hiroshi Esaki

    The University of Tokyo, Japan

    2 publications · 155 citations

    2

    h-index

  3. KC
    Kenjiro Cho

    The University of Tokyo, Japan

    2 publications · 155 citations

    2

    h-index

  4. KF
    Kensuke Fukuda

    National Institute of Informatics, Japan

    2 publications · 155 citations

    2

    h-index

  5. CF
    Cong Feng

    University of Mississippi, United States

    1 publications · 20 citations

    1

    h-index

1–5 of 90

Venues

  1. Journal of Marketing

    JM · 3 publications · 1.4K citations

    3

    h-index

  2. Journal of Retailing and Consumer Services

    3 publications · 220 citations

    3

    h-index

  3. Journal of Retailing

    2 publications · 194 citations

    2

    h-index

  4. Journal of Property Research

    2 publications · 44 citations

    2

    h-index

  5. Information Systems Research

    ISR · 1 publications · 26 citations

    1

    h-index

1–5