Regression-based Trip Generation

Regression-Based Trip Generation is a statistical modeling approach within trip generation analysis that uses regression techniques to predict the number of trips generated by a household or land use based on explanatory variables such as socioeconomic characteristics or land use attributes.

28

Publications

1.2K

Citations

60

Authors

21

Institutions

Publications per year

2017–2026

3

Authors

60

  1. KS
    Kevan Shafizadeh

    University of California, Davis, United States

    2 publications · 49 citations

    2

    h-index

  2. EI
    Eric I. Pas

    Duke University, United States

    2 publications · 89 citations

    2

    h-index

  3. RJ
    Robert J. Schneider

    University of Wisconsin–Milwaukee, United States

    2 publications · 49 citations

    2

    h-index

  4. KG
    Konstadinos G. Goulias

    University of California, Santa Barbara, United States

    2 publications · 28 citations

    2

    h-index

  5. RK
    Ryuichi Kitamura

    Kyoto University, Japan

    2 publications · 28 citations

    2

    h-index

1–5 of 60

Venues

  1. 5

    h-index

  2. Highway Research Record

    3 publications · 76 citations

    3

    h-index

  3. Journal of Transport and Land Use

    JTLU · 2 publications · 49 citations

    2

    h-index

  4. eScholarship (California Digital Library)

    Repository · 1 publications · 14 citations

    1

    h-index

  5. IATSS Research

    1 publications · 24 citations

    1

    h-index

1–5