Robust Hub Location

Robust Hub Location is a hub location modeling approach that, as a member of the class of optimization models in location theory, incorporates uncertainty in input parameters and seeks solutions that remain feasible and near-optimal under a range of plausible scenarios, thereby distinguishing itself from deterministic hub location models by explicitly addressing data and demand variability.

21

Publications

1K

Citations

57

Authors

33

Institutions

Publications per year

2017–2026

13

Authors

57

  1. KY
    Kai Yang

    Beijing Jiaotong University, China

    2 publications · 48 citations

    2

    h-index

  2. HY
    Hande Yaman

    Bilkent University, Türkiye

    1 publications · 101 citations

    1

    h-index

  3. KS
    Kamran Shahanaghi

    Iran University of Science and Technology, Iran

    1 publications · 38 citations

    1

    h-index

  4. VM
    Vladimir M. Bure

    St Petersburg University, Russia

    1 publications · 11 citations

    1

    h-index

  5. CW
    Congke Wang

    Hebei University, China

    1 publications · 18 citations

    1

    h-index

1–5 of 57

Venues

  1. Transportation Research Part B Methodological

    4 publications · 411 citations

    4

    h-index

  2. Computers & Industrial Engineering

    3 publications · 113 citations

    3

    h-index

  3. Expert Systems with Applications

    2 publications · 76 citations

    2

    h-index

  4. Transportation Science

    1 publications · 81 citations

    1

    h-index

  5. Journal of Air Transport Management

    1 publications · 29 citations

    1

    h-index

1–5