Rail Demand Forecasting

Rail Demand Forecasting is a predictive modeling method within transportation planning that estimates future passenger or freight rail travel demand by analyzing historical data, service attributes, socioeconomic factors, and behavioral patterns specific to rail networks.

88

Publications

2.9K

Citations

201

Authors

93

Institutions

Publications per year

2017–2026

30

Publications

88

1–5 of 88

Authors

201

  1. MW
    Mark Wardman

    University of Leeds, United Kingdom

    5 publications · 220 citations

    5

    h-index

  2. SB
    Simon Blainey

    University of Southampton, United Kingdom

    3 publications · 105 citations

    4

    h-index

  3. JP
    John Preston

    University of Southampton, United Kingdom

    2 publications · 54 citations

    3

    h-index

  4. LA
    Len A. Usvyat

    Renal Research Institute, United States

    3 publications · 66 citations

    3

    h-index

  5. CL
    Clayton Lane

    Parsons Brinckerhoff, United States

    3 publications · 66 citations

    3

    h-index

1–5 of 201

Venues

  1. 10

    h-index

  2. Journal of Advanced Transportation

    3 publications · 81 citations

    3

    h-index

  3. 3

    h-index

  4. Transport Reviews

    2 publications · 67 citations

    2

    h-index

  5. 2

    h-index

1–5