User Demographics Analysis

User Demographics Analysis is a methodological construct in public space programming that systematically identifies and evaluates the socio-demographic characteristics of space users—such as age, gender, income, and cultural background—to inform equitable and inclusive design and programming decisions.

174

Publications

12K

Citations

606

Authors

280

Institutions

Publications per year

2017–2026

79

Authors

606

  1. JT
    Jie Tang

    Tsinghua University, China

    6 publications · 428 citations

    6

    h-index

  2. SV
    Svitlana Volkova

    Pacific Northwest National Laboratory, United States

    4 publications · 483 citations

    4

    h-index

  3. YB
    Yoram Bachrach

    Microsoft Research (United Kingdom), United Kingdom

    4 publications · 483 citations

    4

    h-index

  4. PZ
    Peijun Zhao

    University of Oxford, United Kingdom

    3 publications · 76 citations

    3

    h-index

  5. HL
    Huaxin Li

    Shanghai Jiao Tong University, China

    3 publications · 156 citations

    3

    h-index

1–5 of 606

Venues

  1. Library Hi Tech

    2 publications · 55 citations

    3

    h-index

  2. PLoS ONE

    3 publications · 358 citations

    3

    h-index

  3. EPJ Data Science

    2 publications · 39 citations

    2

    h-index

  4. PubMed

    Repository · 2 publications · 26 citations

    2

    h-index

  5. ISPRS International Journal of Geo-Information

    IJGI · 2 publications · 40 citations

    2

    h-index

1–5