Accommodation Demand Forecasting

Accommodation Demand Forecasting is a systematic analytical method that predicts future demand for lodging services by leveraging historical data, market trends, and statistical or machine learning models to support strategic capacity planning and pricing decisions in the hospitality sector.

26

Publications

838

Citations

62

Authors

44

Institutions

Publications per year

2017–2026

15

Authors

62

  1. WH
    Wei‐Chiang Hong

    Asia Eastern University of Science and Technology, Taiwan

    2 publications · 125 citations

    2

    h-index

  2. DJ
    D. Jeffrey

    University of Bradford, United Kingdom

    2 publications · 26 citations

    2

    h-index

  3. PP
    Ping‐Feng Pai

    National Chi Nan University, Taiwan

    2 publications · 138 citations

    2

    h-index

  4. RL
    Rob Law

    Hong Kong Polytechnic University, Hong Kong SAR China

    2 publications · 115 citations

    2

    h-index

  5. MA
    Mochammad Agus Afrianto

    Bandung Institute of Technology, Indonesia

    1 publications · 18 citations

    1

    h-index

1–5 of 62

Venues

  1. Tourism Management

    2 publications · 61 citations

    2

    h-index

  2. 1

    h-index

  3. Journal of Travel Research

    JTR · 1 publications · 29 citations

    1

    h-index

  4. Biblioteca Digital do IPB (Instituto Politecnico De Braganca)

    Repository · 1 publications · 31 citations

    1

    h-index

  5. 1

    h-index

1–5