Data-driven Architectural Evaluation

Data-Driven Architectural Evaluation is a methodological framework within programmatic critique that employs empirical data and quantitative analysis to systematically assess architectural decisions, distinguished by its reliance on measurable performance indicators and evidence-based validation rather than theoretical or subjective judgment.

7

Publications

383

Citations

23

Authors

11

Institutions

Publications per year

2017–2026

6

Authors

23

  1. PN
    Paul Nicholas

    Schools of Visual Arts, The Royal Danish Academy of Fine Arts, Denmark

    1 publications · 90 citations

    1

    h-index

  2. SK
    Stephan K. Chalup

    University of Newcastle Australia, Australia

    1 publications · 24 citations

    1

    h-index

  3. RS
    Rachid Saadane

    Hassania School of Public Works, Morocco

    1 publications · 81 citations

    1

    h-index

  4. SM
    Scott Meekings

    Victoria University of Wellington, New Zealand

    1 publications · 18 citations

    1

    h-index

  5. AB
    Andreea Boca

    Iuliu Hațieganu University of Medicine and Pharmacy, Romania

    1 publications · 19 citations

    1

    h-index

1–5 of 23

Venues

  1. 1

    h-index

  2. Applied Energy

    1 publications · 43 citations

    1

    h-index

  3. 1

    h-index

  4. IEEE Journal of Photovoltaics

    1 publications · 19 citations

    1

    h-index

  5. International Journal of Architectural Computing

    IJAC · 1 publications · 90 citations

    1

    h-index

1–5