Data Analysis For Planning

Data Analysis for Planning is a systematic methodological process within urban and regional planning that integrates quantitative and qualitative analytical techniques to interpret spatial, demographic, economic, and environmental data, thereby informing evidence-based decision-making in the formulation and evaluation of comprehensive plans.

90

Publications

3.3K

Citations

236

Authors

129

Institutions

Publications per year

2017–2026

41

Authors

236

  1. RE
    Richard E. Klosterman

    University of Akron, United States

    3 publications · 90 citations

    3

    h-index

  2. CF
    Christian Fertner

    University of Copenhagen, Denmark

    2 publications · 47 citations

    2

    h-index

  3. MB
    Michael Batty

    University College London, United Kingdom

    2 publications · 323 citations

    2

    h-index

  4. AM
    Anna M. Hersperger

    Swiss Federal Institute for Forest, Snow and Landscape Research, Switzerland

    2 publications · 45 citations

    2

    h-index

  5. CW
    Chris Webster

    University of Hong Kong, Hong Kong SAR China

    2 publications · 88 citations

    2

    h-index

1–5 of 236

Venues

  1. Journal of the American Planning Association

    JAPA · 6 publications · 137 citations

    6

    h-index

  2. Journal of Planning Education and Research

    JPER · 6 publications · 215 citations

    6

    h-index

  3. Environment and Planning B Planning and Design

    5 publications · 141 citations

    5

    h-index

  4. Computers Environment and Urban Systems

    3 publications · 63 citations

    3

    h-index

  5. 3

    h-index

1–5