Latent Demand Estimation

Latent Demand Estimation is a transport demand forecasting method that identifies and quantifies unobserved or suppressed travel demand arising from constraints such as inadequate supply, accessibility barriers, or unmet need, distinguishing it from conventional demand estimation by accounting for potential demand not revealed in current travel patterns.

82

Publications

7.5K

Citations

192

Authors

134

Institutions

Publications per year

2017–2026

29

Authors

192

  1. CK
    Christine Kormos

    University of Victoria, Canada

    2 publications · 111 citations

    2

    h-index

  2. EL
    Erik Lichtenberg

    University of Maryland, College Park, United States

    2 publications · 109 citations

    2

    h-index

  3. JA
    Jonn Axsen

    Simon Fraser University, Canada

    2 publications · 111 citations

    2

    h-index

  4. YA
    Yong‐Yeol Ahn

    Indiana University Bloomington, United States

    2 publications · 2.1K citations

    2

    h-index

  5. JL
    Juan L. Eugenio-Martin

    Universidad de Las Palmas de Gran Canaria, Spain

    2 publications · 32 citations

    2

    h-index

1–5 of 192

Venues

  1. 4

    h-index

  2. 3

    h-index

  3. 3

    h-index

  4. Transport Policy

    2 publications · 216 citations

    2

    h-index

  5. AgEcon Search (University of Minnesota, USA)

    Repository · 2 publications · 109 citations

    2

    h-index

1–5