Trip Distribution Forecasting

Trip Distribution Forecasting is a transportation modeling methodology that belongs to the class of trip distribution techniques, distinguished by its focus on predicting the number of trips between origin and destination zones based on spatial, socioeconomic, and behavioral factors.

33

Publications

1.2K

Citations

76

Authors

43

Institutions

Publications per year

2017–2026

5

Authors

76

  1. DE
    David E. Boyce

    University of Illinois Chicago, United States

    3 publications · 137 citations

    3

    h-index

  2. SM
    Said M. Easa

    Toronto Metropolitan University, Canada

    2 publications · 46 citations

    2

    h-index

  3. JT
    Jean‐Claude Thill

    University of North Carolina at Charlotte, United States

    2 publications · 156 citations

    2

    h-index

  4. YZ
    Yufang Zhang

    Chongqing University, China

    2 publications · 94 citations

    2

    h-index

  5. CE
    Clyde E Pyers

    2 publications · 80 citations

    2

    h-index

1–5 of 76

Venues

  1. 8

    h-index

  2. Highway Research Record

    3 publications · 93 citations

    3

    h-index

  3. Journal of Transportation Engineering

    3 publications · 74 citations

    3

    h-index

  4. Transportation Planning and Technology

    2 publications · 44 citations

    2

    h-index

  5. Transportation Research Part B Methodological

    2 publications · 164 citations

    2

    h-index

1–5