Simulation-based Recovery Analysis

Simulation-Based Recovery Analysis is a computational methodology within transportation network recovery that employs dynamic system simulations to model and evaluate the effectiveness, efficiency, and resilience of recovery strategies following disruptive events.

9

Publications

340

Citations

37

Authors

11

Institutions

Publications per year

2017–2026

3

Authors

37

  1. NJ
    Niloofar Jafari

    Tarbiat Modares University, Iran

    1 publications · 59 citations

    1

    h-index

  2. MZ
    Milad Zamanifar

    Technische Universität Berlin, Germany

    1 publications · 14 citations

    1

    h-index

  3. LH
    Loo Hay Lee

    National University of Singapore, Singapore

    1 publications · 28 citations

    1

    h-index

  4. ZL
    Zhe Liang

    Tongji University, China

    1 publications · 28 citations

    1

    h-index

  5. YP
    Yen Ping Tan

    Universiti Putra Malaysia, Malaysia

    1 publications · 28 citations

    1

    h-index

1–5 of 37

Venues

  1. Natural Hazards

    1 publications · 14 citations

    1

    h-index

  2. Journal on Computing and Cultural Heritage

    JOCCH · 1 publications · 12 citations

    1

    h-index

  3. Energy Technology

    1 publications · 18 citations

    1

    h-index

  4. Computers & Operations Research

    1 publications · 47 citations

    1

    h-index

  5. Applied Psychological Measurement

    1 publications · 30 citations

    1

    h-index

1–5