Waste Generation Forecasting

Waste Generation Forecasting is a predictive modeling framework within municipal solid waste management research that estimates future waste production rates by analyzing historical generation patterns, demographic trends, socioeconomic indicators, and policy impacts to support integrated solid waste management planning.

243

Publications

16.1K

Citations

767

Authors

354

Institutions

Publications per year

2017–2026

143

Authors

767

  1. MA
    Maryam Abbasi

    University of Tehran, Iran

    6 publications · 799 citations

    6

    h-index

  2. KT
    Kelvin Tsun Wai Ng

    University of Regina, Canada

    5 publications · 177 citations

    5

    h-index

  3. MA
    Mohammad Ali Abdoli

    University of Tehran, Iran

    5 publications · 447 citations

    5

    h-index

  4. GC
    Gi-Wook Cha

    Kyungpook National University, South Korea

    5 publications · 263 citations

    5

    h-index

  5. WH
    Won‐Hwa Hong

    Kyungpook National University, South Korea

    4 publications · 200 citations

    4

    h-index

1–5 of 767

Venues

  1. Waste Management

    27 publications · 3.3K citations

    24

    h-index

  2. 17

    h-index

  3. Sustainability

    12 publications · 431 citations

    12

    h-index

  4. Resources Conservation and Recycling

    10 publications · 918 citations

    10

    h-index

  5. Journal of Cleaner Production

    9 publications · 410 citations

    9

    h-index

1–5