Determining Critical Cascading Effects of Flooding Events on Transportation Infrastructure Using Data Mining Algorithms-Reference-Cited by-同舟云学术

Determining Critical Cascading Effects of Flooding Events on Transportation Infrastructure Using Data Mining Algorithms

Published:2024-09 Issue:3 Volume:30 Page:
ISSN:1076-0342
Container-title:Journal of Infrastructure Systems
language:en
Short-container-title:J. Infrastruct. Syst.

Author:

Assaad Rayan H.¹^ORCID,Mohammadi Mohsen²,Assaf Ghiwa²

Affiliation:

1. Assistant Professor of Construction and Civil Infrastructure and Founding Director of the Smart Construction and Intelligent Infrastructure Systems Lab, John A. Reif, Jr. Dept. of Civil and Environmental Engineering, New Jersey Institute of Technology, Newark, NJ 07102 (corresponding author). ORCID: .

2. Ph.D. Candidate, John A. Reif, Jr. Dept. of Civil and Environmental Engineering, New Jersey Institute of Technology, Newark, NJ 07102.

Publisher

American Society of Civil Engineers (ASCE)

Link

https://ascelibrary.org/doi/pdf/10.1061/JITSE4.ISENG-2447

Reference85 articles.

1. Indirect flood impacts and cascade risk across interdependent linear infrastructures

2. A methodological approach for mapping and analysing cascading effects of flooding events;Arvidsson B.;Int. J. River Basin Manage.,2022

3. Determining Critical Combinations of Safety Fatality Causes Using Spectral Clustering and Computational Data Mining Algorithms

4. Enhancing the Knowledge of Construction Business Failure: A Social Network Analysis Approach

5. Key Decision-Making Factors Influencing Bundling Strategies: Analysis of Bundled Infrastructure Projects

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